Zhifang Sui | Papers With Code

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SSWIdm+qBJmgh5KwQD0v8UHD4hiOHM6KIt8lQJGINVcte75WLt0VaPJppPcWLlzZmO/etGFRMlhYUCASGGn7nsz0k4eYWgoTsDcFstgfhhQVSzZnG23wQgppFSdzsbvsRRtBQzdW832sMsFICj0u9L9LimGSbeaw835HLttFIYkCm92HsFqIUAUWAcFrp2ezZYIBWSALAKulnL/ljAUpK2QAGFv/AJKXHaxa+HKCn84Ws3zhWIWCKlpLEOcjGFYgs6VpsTsnePKFKy1jk2RyYOJLJNYFiPMhGJmFQZYFrjKSwudI8tm6ibQCXDlNgdhBxeILATyHc1Oi40eDjJ2qZoFNjdELxU4FuKxYAd2MJOM5MxSluxDANy5p7OJKfJprnboPmY+7LVKCRbdIc6iF2KGUgAh3NNhyEKUkE5k3A9GKkoPeSXAOqYSkzCEICSQNHTdi0HDT1XMq9ncJctaPJcSpLcKk7d0uXYuIGGxA1kh7MclgIGDxANpJKf5RbxjCypktRrQ2UDbbw/s97AdkBu0w+1hyjcMN7/8AKP/Z');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-spectral-method-for-unsupervised-multi">A Spectral Method for Unsupervised Multi-Document Summarization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-spectral-method-for-unsupervised-multi#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2020-11"> EMNLP 2020 </a> </span> • <span class="author-span "> <a href="/author/kexiang-wang">Kexiang Wang</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Multi-document summarization (MDS) aims at producing a good-quality summary for several related documents.</p> <div class="sota"> </div> <p> <a href="/task/combinatorial-optimization"> <span class="badge 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/sg-fsm-a-self-guiding-zero-shot-prompting">SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/sg-fsm-a-self-guiding-zero-shot-prompting#code">no code implementations</a> • <span class="author-name-text item-date-pub">22 Oct 2024</span> • <span class="author-span "> <a href="/author/xiaochen-wang">Xiaochen Wang</a></span>, <span class="author-span "> <a href="/author/junqing-he">Junqing He</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/reza-haf-zhe-yang">Reza Haf Zhe Yang</a></span>, <span class="author-span "> <a href="/author/yiru-wang">Yiru Wang</a></span>, <span class="author-span "> <a href="/author/xiangdi-meng">Xiangdi Meng</a></span>, <span class="author-span "> <a href="/author/kunhao-pan">Kunhao Pan</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Large Language Models with chain-of-thought prompting, such as OpenAI-o1, have shown impressive capabilities in natural language inference tasks.</p> <div class="sota"> </div> <p> <a href="/task/hallucination"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Hallucination</span> </span> </a> <a href="/task/multi-hop-question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multi-hop Question Answering</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/sg-fsm-a-self-guiding-zero-shot-prompting#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/sg-fsm-a-self-guiding-zero-shot-prompting" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/sg-fsm-a-self-guiding-zero-shot-prompting#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/self-boosting-large-language-models-with">Self-Boosting Large Language Models with Synthetic Preference Data</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/self-boosting-large-language-models-with#code">no code implementations</a> • <span class="author-name-text item-date-pub">9 Oct 2024</span> • <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/xingxing-zhang">Xingxing Zhang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">Through alignment with human preferences, Large Language Models (LLMs) have advanced significantly in generating honest, harmless, and helpful responses.</p> <div class="sota"> </div> <p> <a href="/task/instruction-following"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Instruction Following</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/self-boosting-large-language-models-with" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/self-boosting-large-language-models-with#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/chip-tuning-classify-before-language-models"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/chip-tuning-classify-before-language-models">Chip-Tuning: Classify Before Language Models Say</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/chip-tuning-classify-before-language-models#code">1 code implementation</a> • <span class="author-name-text item-date-pub">9 Oct 2024</span> • <span class="author-span "> <a href="/author/fangwei-zhu">Fangwei Zhu</a></span>, <span class="author-span "> <a href="/author/dian-li">Dian Li</a></span>, <span class="author-span "> <a href="/author/jiajun-huang">Jiajun Huang</a></span>, <span class="author-span "> <a href="/author/gang-liu">Gang Liu</a></span>, <span class="author-span "> <a href="/author/hui-wang">Hui Wang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">After selecting a chip for classification, all layers subsequent to the attached layer could be removed with marginal performance loss.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 2</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/chip-tuning-classify-before-language-models" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/chip-tuning-classify-before-language-models#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-a-unified-view-of-preference-learning"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/40a0ef5e-b911-4114-beed-e3f3bec647b5.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-a-unified-view-of-preference-learning">Towards a Unified View of Preference Learning for Large Language Models: A Survey</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-a-unified-view-of-preference-learning#code">1 code implementation</a> • <span class="author-name-text item-date-pub">4 Sep 2024</span> • <span class="author-span "> <a href="/author/bofei-gao">Bofei Gao</a></span>, <span class="author-span "> <a href="/author/feifan-song">Feifan Song</a></span>, <span class="author-span "> <a href="/author/yibo-miao">Yibo Miao</a></span>, <span class="author-span "> <a href="/author/zefan-cai">Zefan Cai</a></span>, <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/helan-hu">Helan Hu</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/ce-zheng">Ce Zheng</a></span>, <span class="author-span "> <a href="/author/shanghaoran-quan">Shanghaoran Quan</a></span>, <span class="author-span "> <a href="/author/wen-xiao">Wen Xiao</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span "> <a href="/author/daoguang-zan">Daoguang Zan</a></span>, <span class="author-span "> <a href="/author/keming-lu">Keming Lu</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/houfeng-wang">Houfeng Wang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">Finally, based on our unified perspective, we explore the challenges and future research directions for aligning large language models with human preferences.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 155</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-a-unified-view-of-preference-learning" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-a-unified-view-of-preference-learning#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/fsm-a-finite-state-machine-based-zero-shot"> <div class="item-image" style="background-image: 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/fsm-a-finite-state-machine-based-zero-shot">FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/fsm-a-finite-state-machine-based-zero-shot#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Jul 2024</span> • <span class="author-span "> <a href="/author/xiaochen-wang">Xiaochen Wang</a></span>, <span class="author-span "> <a href="/author/junqing-he">Junqing He</a></span>, <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/yiru-wang">Yiru Wang</a></span>, <span class="author-span "> <a href="/author/xiangdi-meng">Xiangdi Meng</a></span>, <span class="author-span "> <a href="/author/kunhao-pan">Kunhao Pan</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Large Language Models (LLMs) with chain-of-thought (COT) prompting have demonstrated impressive abilities on simple nature language inference tasks.</p> <div class="sota"> </div> <p> <a href="/task/hallucination"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Hallucination</span> </span> </a> <a href="/task/multi-hop-question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multi-hop Question Answering</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/fsm-a-finite-state-machine-based-zero-shot#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/fsm-a-finite-state-machine-based-zero-shot" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/fsm-a-finite-state-machine-based-zero-shot#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/can-large-language-models-always-solve-easy"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2406.12809.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/can-large-language-models-always-solve-easy">Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/can-large-language-models-always-solve-easy#code">1 code implementation</a> • <span class="author-name-text item-date-pub">18 Jun 2024</span> • <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Furthermore, we introduce the concept of consistency score to quantitatively measure this inconsistency and analyze the potential for improvement in consistency by relative consistency score.</p> <div class="sota"> </div> <p> <a href="/task/in-context-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>In-Context Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge 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<a href="/paper/can-large-language-models-always-solve-easy#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/taking-a-deep-breath-enhancing-language">Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/taking-a-deep-breath-enhancing-language#code">no code implementations</a> • <span class="author-name-text item-date-pub">16 Jun 2024</span> • <span class="author-span "> <a href="/author/weiyao-luo">Weiyao Luo</a></span>, <span class="author-span "> <a href="/author/suncong-zheng">Suncong Zheng</a></span>, <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/weikang-wang">Weikang Wang</a></span>, <span class="author-span "> <a href="/author/yan-lei">Yan Lei</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/shuang-chen">Shuang Chen</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">We then modify the attention mask to integrate the chunk's information into the corresponding <SR> token.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/taking-a-deep-breath-enhancing-language" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 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url('data:image/jpeg;base64,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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/exploring-activation-patterns-of-parameters">Exploring Activation Patterns of Parameters in Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/exploring-activation-patterns-of-parameters#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 May 2024</span> • <span class="author-span "> <a href="/author/yudong-wang">Yudong Wang</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Our work sheds light on the behavior of parameter activation in LLMs, and we hope these findings will have the potential to inspire more practical applications.</p> <div class="sota"> </div> <p> <a href="/task/sts"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>STS</span> </span> </a> <a href="/task/sts-b"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>STS-B</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/exploring-activation-patterns-of-parameters" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/exploring-activation-patterns-of-parameters#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/large-language-models-are-unconscious-of"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.19346.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/large-language-models-are-unconscious-of">Large Language Models Are Unconscious of Unreasonability in Math Problems</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/large-language-models-are-unconscious-of#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 Mar 2024</span> • <span class="author-span "> <a href="/author/jingyuan-ma">Jingyuan Ma</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Large language models (LLMs) demonstrate substantial capabilities in solving math problems.</p> <div class="sota"> </div> <p> <a href="/task/math"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Math</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/large-language-models-are-unconscious-of" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/large-language-models-are-unconscious-of#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/reducing-hallucinations-in-entity-abstract"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2402.18873.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/reducing-hallucinations-in-entity-abstract">Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/reducing-hallucinations-in-entity-abstract#code">1 code implementation</a> • <span class="author-name-text item-date-pub">29 Feb 2024</span> • <span class="author-span "> <a href="/author/fangwei-zhu">Fangwei Zhu</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Entity abstract summarization aims to generate a coherent description of a given entity based on a set of relevant Internet documents.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 1</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/reducing-hallucinations-in-entity-abstract" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/reducing-hallucinations-in-entity-abstract#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/shieldlm-empowering-llms-as-aligned"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/22615854-122c-446d-a93a-0e9df4f93799.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/shieldlm-empowering-llms-as-aligned">ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/shieldlm-empowering-llms-as-aligned#code">1 code implementation</a> • <span class="author-name-text item-date-pub">26 Feb 2024</span> • <span class="author-span "> <a href="/author/zhexin-zhang">Zhexin Zhang</a></span>, <span class="author-span "> <a href="/author/yida-lu">Yida Lu</a></span>, <span class="author-span "> <a href="/author/jingyuan-ma">Jingyuan Ma</a></span>, <span class="author-span "> <a href="/author/di-zhang">Di Zhang</a></span>, <span class="author-span "> <a href="/author/rui-li">Rui Li</a></span>, <span class="author-span "> <a href="/author/pei-ke">Pei Ke</a></span>, <span class="author-span "> <a href="/author/hao-sun">Hao Sun</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/hongning-wang">Hongning Wang</a></span>, <span class="author-span "> <a href="/author/minlie-huang">Minlie Huang</a></span> </p> <p class="item-strip-abstract">The safety of Large Language Models (LLMs) has gained increasing attention in recent years, but there still lacks a comprehensive approach for detecting safety issues within LLMs' responses in an aligned, customizable and explainable manner.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 159</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/shieldlm-empowering-llms-as-aligned" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/shieldlm-empowering-llms-as-aligned#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/periodiclora-breaking-the-low-rank-bottleneck"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2402.16141.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/periodiclora-breaking-the-low-rank-bottleneck">PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/periodiclora-breaking-the-low-rank-bottleneck#code">no code implementations</a> • <span class="author-name-text item-date-pub">25 Feb 2024</span> • <span class="author-span "> <a href="/author/xiangdi-meng">Xiangdi Meng</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/weiyao-luo">Weiyao Luo</a></span>, <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/shaoxiang-wu">Shaoxiang Wu</a></span>, <span class="author-span "> <a href="/author/xiaochen-wang">Xiaochen Wang</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Although LoRA fine-tuning is effective, there is still a performance gap compared to full fine-tuning, since its weight update is limited to low-rank matrices.</p> <div class="sota"> </div> <p> <a href="/task/parameter-efficient-fine-tuning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>parameter-efficient fine-tuning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/periodiclora-breaking-the-low-rank-bottleneck" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/periodiclora-breaking-the-low-rank-bottleneck#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/synthetic-data-almost-from-scratch"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2402.13064.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/synthetic-data-almost-from-scratch">Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/synthetic-data-almost-from-scratch#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Feb 2024</span> • <span class="author-span "> <a href="/author/haoran-li">Haoran Li</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/zhengyang-tang">Zhengyang Tang</a></span>, <span class="author-span "> <a href="/author/chaojun-wang">Chaojun Wang</a></span>, <span class="author-span "> <a href="/author/xingxing-zhang">Xingxing Zhang</a></span>, <span class="author-span "> <a href="/author/haoyang-huang">Haoyang Huang</a></span>, <span class="author-span "> <a href="/author/shaohan-huang">Shaohan Huang</a></span>, <span class="author-span "> <a href="/author/xiaolong-huang">Xiaolong Huang</a></span>, <span class="author-span "> <a href="/author/zeqiang-huang">Zeqiang Huang</a></span>, <span class="author-span "> <a href="/author/dongdong-zhang">Dongdong Zhang</a></span>, <span class="author-span "> <a href="/author/yuxian-gu">Yuxian Gu</a></span>, <span class="author-span "> <a href="/author/xin-cheng">Xin Cheng</a></span>, <span class="author-span "> <a href="/author/xun-wang">Xun Wang</a></span>, <span class="author-span "> <a href="/author/si-qing-chen">Si-Qing Chen</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/wei-lu">Wei Lu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/benyou-wang">Benyou Wang</a></span>, <span class="author-span "> <a href="/author/wai-lam">Wai Lam</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">We introduce Generalized Instruction Tuning (called GLAN), a general and scalable method for instruction tuning of Large Language Models (LLMs).</p> <div class="sota"> </div> <p> <a href="/task/instruction-following"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Instruction Following</span> </span> </a> <a href="/task/logical-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Logical Reasoning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/synthetic-data-almost-from-scratch#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/synthetic-data-almost-from-scratch" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/synthetic-data-almost-from-scratch#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/can-large-multimodal-models-uncover-deep"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/3b56b7e7-392c-4c5a-a836-befdd124479c.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/can-large-multimodal-models-uncover-deep">Can Large Multimodal Models Uncover Deep Semantics Behind Images?</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/can-large-multimodal-models-uncover-deep#code">1 code implementation</a> • <span class="author-name-text item-date-pub">17 Feb 2024</span> • <span class="author-span "> <a href="/author/yixin-yang">Yixin Yang</a></span>, <span class="author-span "> <a href="/author/zheng-li">Zheng Li</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Understanding the deep semantics of images is essential in the era dominated by social media.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 4</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/can-large-multimodal-models-uncover-deep" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/can-large-multimodal-models-uncover-deep#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/unlocking-efficiency-in-large-language-model"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/7a1fe980-93c7-4087-af1b-08be52ef0ead.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/unlocking-efficiency-in-large-language-model">Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/unlocking-efficiency-in-large-language-model#code">1 code implementation</a> • <span class="author-name-text item-date-pub">15 Jan 2024</span> • <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/yongqi-li">Yongqi Li</a></span>, <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/wenjie-li">Wenjie Li</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">To mitigate the high inference latency stemming from autoregressive decoding in Large Language Models (LLMs), Speculative Decoding has emerged as a novel decoding paradigm for LLM inference.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 487</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/unlocking-efficiency-in-large-language-model" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/unlocking-efficiency-in-large-language-model#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/deepseekmoe-towards-ultimate-expert"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/c9c9e5d4-cb1c-4c99-b901-0eeaf84cf6e4.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/deepseekmoe-towards-ultimate-expert">DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/deepseekmoe-towards-ultimate-expert#code">2 code implementations</a> • <span class="author-name-text item-date-pub">11 Jan 2024</span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/chengqi-deng">Chengqi Deng</a></span>, <span class="author-span "> <a href="/author/chenggang-zhao">Chenggang Zhao</a></span>, <span class="author-span "> <a href="/author/r-x-xu">R. X. Xu</a></span>, <span class="author-span "> <a href="/author/huazuo-gao">Huazuo Gao</a></span>, <span class="author-span "> <a href="/author/deli-chen">Deli Chen</a></span>, <span class="author-span "> <a href="/author/jiashi-li">Jiashi Li</a></span>, <span class="author-span "> <a href="/author/wangding-zeng">Wangding Zeng</a></span>, <span class="author-span "> <a href="/author/xingkai-yu">Xingkai Yu</a></span>, <span class="author-span "> <a href="/author/y-wu">Y. Wu</a></span>, <span class="author-span "> <a href="/author/zhenda-xie">Zhenda Xie</a></span>, <span class="author-span "> <a href="/author/y-k-li">Y. K. Li</a></span>, <span class="author-span "> <a href="/author/panpan-huang">Panpan Huang</a></span>, <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/chong-ruan">Chong Ruan</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/wenfeng-liang">Wenfeng Liang</a></span> </p> <p class="item-strip-abstract">Subsequently, we scale up DeepSeekMoE to 16B parameters and show that it achieves comparable performance with LLaMA2 7B, with only about 40% of computations.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 1,018</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/deepseekmoe-towards-ultimate-expert" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/deepseekmoe-towards-ultimate-expert#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/language-models-understand-numbers-at-least"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2401.03735.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/language-models-understand-numbers-at-least">Language Models Encode the Value of Numbers Linearly</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/language-models-understand-numbers-at-least#code">1 code implementation</a> • <span class="author-name-text item-date-pub">8 Jan 2024</span> • <span class="author-span "> <a href="/author/fangwei-zhu">Fangwei Zhu</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Large language models (LLMs) have exhibited impressive competence in various tasks, but their internal mechanisms on mathematical problems are still under-explored.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/math"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Math</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 0</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/language-models-understand-numbers-at-least" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/language-models-understand-numbers-at-least#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/math-shepherd-a-label-free-step-by-step"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2312.08935.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/math-shepherd-a-label-free-step-by-step">Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/math-shepherd-a-label-free-step-by-step#code">1 code implementation</a> • <span class="author-name-text item-date-pub">14 Dec 2023</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/zhihong-shao">Zhihong Shao</a></span>, <span class="author-span "> <a href="/author/r-x-xu">R. X. Xu</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/yifei-li">Yifei Li</a></span>, <span class="author-span "> <a href="/author/deli-chen">Deli Chen</a></span>, <span class="author-span "> <a href="/author/y-wu">Y. Wu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In this paper, we present an innovative process-oriented math process reward model called \textbf{Math-Shepherd}, which assigns a reward score to each step of math problem solutions.</p> <div class="sota"> <p> <a href="/sota/arithmetic-reasoning-on-gsm8k"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/arithmetic-reasoning-on-gsm8k-small_0420f672.png"/> </a> Ranked #22 on <a href="/sota/arithmetic-reasoning-on-gsm8k"> Arithmetic Reasoning on GSM8K </a> (using extra training data) </p> </div> <p> <a href="/task/arithmetic-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Arithmetic Reasoning</span> </span> </a> <a href="/task/gsm8k"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>GSM8K</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/math-shepherd-a-label-free-step-by-step#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 0</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/math-shepherd-a-label-free-step-by-step" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/math-shepherd-a-label-free-step-by-step#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/guiding-amr-parsing-with-reverse-graph"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2310.08860.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/guiding-amr-parsing-with-reverse-graph">Guiding AMR Parsing with Reverse Graph Linearization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/guiding-amr-parsing-with-reverse-graph#code">1 code implementation</a> • <span class="author-name-text item-date-pub">13 Oct 2023</span> • <span class="author-span "> <a href="/author/bofei-gao">Bofei Gao</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">Abstract Meaning Representation (AMR) parsing aims to extract an abstract semantic graph from a given sentence.</p> <div class="sota"> </div> <p> <a href="/task/abstract-meaning-representation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Abstract Meaning Representation</span> </span> </a> <a href="/task/amr-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>AMR Parsing</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/guiding-amr-parsing-with-reverse-graph#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 4</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/guiding-amr-parsing-with-reverse-graph" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/guiding-amr-parsing-with-reverse-graph#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/not-all-demonstration-examples-are-equally"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2310.08309.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/not-all-demonstration-examples-are-equally">Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/not-all-demonstration-examples-are-equally#code">1 code implementation</a> • <span class="author-name-text item-date-pub">12 Oct 2023</span> • <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">To assess the quality of weights in the absence of additional validation data, we design a masked self-prediction (MSP) score that exhibits a strong correlation with the final ICL performance.</p> <div class="sota"> </div> <p> <a href="/task/in-context-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>In-Context Learning</span> </span> </a> <a href="/task/text-classification-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>text-classification</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/not-all-demonstration-examples-are-equally#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 12</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/not-all-demonstration-examples-are-equally" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/not-all-demonstration-examples-are-equally#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/infocl-alleviating-catastrophic-forgetting-in"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2310.06362.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/infocl-alleviating-catastrophic-forgetting-in">InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/infocl-alleviating-catastrophic-forgetting-in#code">1 code implementation</a> • <span class="author-name-text item-date-pub">10 Oct 2023</span> • <span class="author-span "> <a href="/author/yifan-song">YiFan Song</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/weimin-xiong">Weimin Xiong</a></span>, <span class="author-span "> <a href="/author/dawei-zhu">Dawei Zhu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span> </p> <p class="item-strip-abstract">Continual learning (CL) aims to constantly learn new knowledge over time while avoiding catastrophic forgetting on old tasks.</p> <div class="sota"> </div> <p> <a href="/task/continual-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/46f250b7-a5e4-43fd-889b-15660cd73647.jpg"> <span>Continual Learning</span> </span> </a> <a href="/task/contrastive-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/a2dca842-c6b6-4209-b2a8-dffeac2ef283.jpg"> <span>Contrastive Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/infocl-alleviating-catastrophic-forgetting-in#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 14</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/infocl-alleviating-catastrophic-forgetting-in" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/infocl-alleviating-catastrophic-forgetting-in#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/large-language-model-for-science-a-study-on-p"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2309.05689.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/large-language-model-for-science-a-study-on-p">Large Language Model for Science: A Study on P vs. NP</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/large-language-model-for-science-a-study-on-p#code">1 code implementation</a> • <span class="author-name-text item-date-pub">11 Sep 2023</span> • <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/ke-xu">Ke Xu</a></span>, <span class="author-span "> <a href="/author/guangyan-zhou">Guangyan Zhou</a></span>, <span class="author-span "> <a href="/author/yaru-hao">Yaru Hao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">In this work, we use large language models (LLMs) to augment and accelerate research on the P versus NP problem, one of the most important open problems in theoretical computer science and mathematics.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 3,713</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/large-language-model-for-science-a-study-on-p" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/large-language-model-for-science-a-study-on-p#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/making-large-language-models-better-reasoners"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2309.02144.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/making-large-language-models-better-reasoners">Making Large Language Models Better Reasoners with Alignment</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/making-large-language-models-better-reasoners#code">no code implementations</a> • <span class="author-name-text item-date-pub">5 Sep 2023</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/feifan-song">Feifan Song</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">To address this problem, we introduce an \textit{Alignment Fine-Tuning (AFT)} paradigm, which involves three steps: 1) fine-tuning LLMs with COT training data; 2) generating multiple COT responses for each question, and categorizing them into positive and negative ones based on whether they achieve the correct answer; 3) calibrating the scores of positive and negative responses given by LLMs with a novel constraint alignment loss.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/making-large-language-models-better-reasoners" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/making-large-language-models-better-reasoners#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/large-language-models-are-not-fair-evaluators"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.17926.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/large-language-models-are-not-fair-evaluators">Large Language Models are not Fair Evaluators</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/large-language-models-are-not-fair-evaluators#code">1 code implementation</a> • <span class="author-name-text item-date-pub">29 May 2023</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/zefan-cai">Zefan Cai</a></span>, <span class="author-span "> <a href="/author/dawei-zhu">Dawei Zhu</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span "> <a href="/author/qi-liu">Qi Liu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In this paper, we uncover a systematic bias in the evaluation paradigm of adopting large language models~(LLMs), e. g., GPT-4, as a referee to score and compare the quality of responses generated by candidate models.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/large-language-models-are-not-fair-evaluators#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 133</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/large-language-models-are-not-fair-evaluators" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/large-language-models-are-not-fair-evaluators#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/learn-to-not-link-exploring-nil-prediction-in"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.15725.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/learn-to-not-link-exploring-nil-prediction-in">Learn to Not Link: Exploring NIL Prediction in Entity Linking</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learn-to-not-link-exploring-nil-prediction-in#code">1 code implementation</a> • <span class="author-name-text item-date-pub">25 May 2023</span> • <span class="author-span "> <a href="/author/fangwei-zhu">Fangwei Zhu</a></span>, <span class="author-span "> <a href="/author/jifan-yu">Jifan Yu</a></span>, <span class="author-span "> <a href="/author/hailong-jin">Hailong Jin</a></span>, <span class="author-span "> <a href="/author/juanzi-li">Juanzi Li</a></span>, <span class="author-span "> <a href="/author/lei-hou">Lei Hou</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">We conduct a series of experiments with the widely used bi-encoder and cross-encoder entity linking models, results show that both types of NIL mentions in training data have a significant influence on the accuracy of NIL prediction.</p> <div class="sota"> </div> <p> <a href="/task/entity-linking"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Entity Linking</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 8</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learn-to-not-link-exploring-nil-prediction-in" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/learn-to-not-link-exploring-nil-prediction-in#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/bi-drop-generalizable-fine-tuning-for-pre"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.14760.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/bi-drop-generalizable-fine-tuning-for-pre">Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/bi-drop-generalizable-fine-tuning-for-pre#code">no code implementations</a> • <span class="author-name-text item-date-pub">24 May 2023</span> • <span class="author-span "> <a href="/author/shoujie-tong">Shoujie Tong</a></span>, <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Also, Bi-Drop needs only one mini-batch to estimate the sub-net so it achieves higher utility of training data.</p> <div class="sota"> </div> <p> <a href="/task/natural-language-understanding"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Natural Language Understanding</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/bi-drop-generalizable-fine-tuning-for-pre" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/bi-drop-generalizable-fine-tuning-for-pre#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/imagenetvc-zero-shot-visual-commonsense"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/8288a9f3-b0be-40f0-9b0f-eaa8a08afc39.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/imagenetvc-zero-shot-visual-commonsense">ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/imagenetvc-zero-shot-visual-commonsense#code">1 code implementation</a> • <span class="author-name-text item-date-pub">24 May 2023</span> • <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/jingjing-xu">Jingjing Xu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/ziwei-qin">Ziwei Qin</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Recently, Large Language Models (LLMs) have been serving as general-purpose interfaces, posing a significant demand for comprehensive visual knowledge.</p> <div class="sota"> </div> <p> <a href="/task/common-sense-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Common Sense Reasoning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 10</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/imagenetvc-zero-shot-visual-commonsense" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/imagenetvc-zero-shot-visual-commonsense#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/denoising-bottleneck-with-mutual-information"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.14652.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/denoising-bottleneck-with-mutual-information">Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/denoising-bottleneck-with-mutual-information#code">1 code implementation</a> • <span class="author-name-text item-date-pub">24 May 2023</span> • <span class="author-span "> <a href="/author/shaoxiang-wu">Shaoxiang Wu</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/ziwei-qin">Ziwei Qin</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">However, unlike other image-text multimodal tasks, video has longer multimodal sequences with more redundancy and noise in both visual and audio modalities.</p> <div class="sota"> </div> <p> <a href="/task/denoising"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/6c4d53f8-9c6d-47c8-80c7-1b8e1c0a7d42.jpg"> <span>Denoising</span> </span> </a> <a href="/task/multimodal-sentiment-analysis"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000569-adac3c8b.jpg"> <span>Multimodal Sentiment Analysis</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 8</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/denoising-bottleneck-with-mutual-information" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/denoising-bottleneck-with-mutual-information#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/repcl-exploring-effective-representation-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.07289.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/repcl-exploring-effective-representation-for">RepCL: Exploring Effective Representation for Continual Text Classification</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/repcl-exploring-effective-representation-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">12 May 2023</span> • <span class="author-span "> <a href="/author/yifan-song">YiFan Song</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/dawei-zhu">Dawei Zhu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span> </p> <p class="item-strip-abstract">Continual learning (CL) aims to constantly learn new knowledge over time while avoiding catastrophic forgetting on old tasks.</p> <div class="sota"> </div> <p> <a href="/task/continual-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/46f250b7-a5e4-43fd-889b-15660cd73647.jpg"> <span>Continual Learning</span> </span> </a> <a href="/task/representation-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000228-3131cfbf_nx72Tly.jpg"> <span>Representation Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/repcl-exploring-effective-representation-for#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/repcl-exploring-effective-representation-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/repcl-exploring-effective-representation-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/enhancing-continual-relation-extraction-via"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.04636.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/enhancing-continual-relation-extraction-via">Enhancing Continual Relation Extraction via Classifier Decomposition</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/enhancing-continual-relation-extraction-via#code">1 code implementation</a> • <span class="author-name-text item-date-pub">8 May 2023</span> • <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In this work, we point out that there exist two typical biases after training of this vanilla strategy: classifier bias and representation bias, which causes the previous knowledge that the model learned to be shaded.</p> <div class="sota"> </div> <p> <a href="/task/continual-relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Continual Relation Extraction</span> </span> </a> <a href="/task/relation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Relation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 11</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/enhancing-continual-relation-extraction-via" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/enhancing-continual-relation-extraction-via#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-survey-for-in-context-learning"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2301.00234.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-survey-for-in-context-learning">A Survey on In-context Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-survey-for-in-context-learning#code">1 code implementation</a> • <span class="author-name-text item-date-pub">31 Dec 2022</span> • <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/ce-zheng">Ce Zheng</a></span>, <span class="author-span "> <a href="/author/jingyuan-ma">Jingyuan Ma</a></span>, <span class="author-span "> <a href="/author/rui-li">Rui Li</a></span>, <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/jingjing-xu">Jingjing Xu</a></span>, <span class="author-span "> <a href="/author/zhiyong-wu">Zhiyong Wu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">With the increasing capabilities of large language models (LLMs), in-context learning (ICL) has emerged as a new paradigm for natural language processing (NLP), where LLMs make predictions based on contexts augmented with a few examples.</p> <div class="sota"> </div> <p> <a href="/task/in-context-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>In-Context Learning</span> </span> </a> <a href="/task/survey"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Survey</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 818</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-survey-for-in-context-learning" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-survey-for-in-context-learning#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/why-can-gpt-learn-in-context-language-models"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/8d63de89-178b-4ce6-bd68-6658f4e0b6bf.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/why-can-gpt-learn-in-context-language-models">Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/why-can-gpt-learn-in-context-language-models#code">1 code implementation</a> • <span class="author-name-text item-date-pub">20 Dec 2022</span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/yutao-sun">Yutao Sun</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/yaru-hao">Yaru Hao</a></span>, <span class="author-span "> <a href="/author/shuming-ma">Shuming Ma</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">We comprehensively compare the behaviors of in-context learning and explicit finetuning on real tasks to provide empirical evidence that supports our understanding.</p> <div class="sota"> </div> <p> <a href="/task/in-context-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>In-Context Learning</span> </span> </a> <a href="/task/open-question"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Open-Ended Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 3,712</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/why-can-gpt-learn-in-context-language-models" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/why-can-gpt-learn-in-context-language-models#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/statistical-dataset-evaluation-reliability"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2212.09272.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/statistical-dataset-evaluation-reliability">Statistical Dataset Evaluation: Reliability, Difficulty, and Validity</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/statistical-dataset-evaluation-reliability#code">no code implementations</a> • <span class="author-name-text item-date-pub">19 Dec 2022</span> • <span class="author-span "> <a href="/author/chengwen-wang">Chengwen Wang</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/xiaochen-wang">Xiaochen Wang</a></span>, <span class="author-span "> <a href="/author/haitao-wang">Haitao Wang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Taking the Named Entity Recognition (NER) datasets as a case study, we introduce $9$ statistical metrics for a statistical dataset evaluation framework.</p> <div class="sota"> </div> <p> <a href="/task/named-entity-recognition"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>named-entity-recognition</span> </span> </a> <a href="/task/named-entity-recognition-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Named Entity Recognition</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/statistical-dataset-evaluation-reliability#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/statistical-dataset-evaluation-reliability" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/statistical-dataset-evaluation-reliability#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/dialogqae-n-to-n-question-answer-pair"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2212.07112.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/dialogqae-n-to-n-question-answer-pair">DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/dialogqae-n-to-n-question-answer-pair#code">no code implementations</a> • <span class="author-name-text item-date-pub">14 Dec 2022</span> • <span class="author-span "> <a href="/author/xin-zheng">Xin Zheng</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/haoran-meng">Haoran Meng</a></span>, <span class="author-span "> <a href="/author/xu-wang">Xu Wang</a></span>, <span class="author-span "> <a href="/author/yufan-jiang">Yufan Jiang</a></span>, <span class="author-span "> <a href="/author/mengliang-rao">Mengliang Rao</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span> </p> <p class="item-strip-abstract">Harvesting question-answer (QA) pairs from customer service chatlog in the wild is an efficient way to enrich the knowledge base for customer service chatbots in the cold start or continuous integration scenarios.</p> <div class="sota"> </div> <p> <a href="/task/retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/8576b666-5d7a-4b88-a1e2-5dcc3ea02f16.jpg"> <span>Retrieval</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/dialogqae-n-to-n-question-answer-pair" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/dialogqae-n-to-n-question-answer-pair#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/dialogusr-complex-dialogue-utterance"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2210.11279.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/dialogusr-complex-dialogue-utterance">DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/dialogusr-complex-dialogue-utterance#code">1 code implementation</a> • <span class="author-name-text item-date-pub">20 Oct 2022</span> • <span class="author-span "> <a href="/author/haoran-meng">Haoran Meng</a></span>, <span class="author-span "> <a href="/author/zheng-xin">Zheng Xin</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/zizhen-wang">Zizhen Wang</a></span>, <span class="author-span "> <a href="/author/he-feng">He Feng</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/xuemin-zhao">Xuemin Zhao</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">While interacting with chatbots, users may elicit multiple intents in a single dialogue utterance.</p> <div class="sota"> </div> <p> <a href="/task/intent-detection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Intent Detection</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 10</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/dialogusr-complex-dialogue-utterance" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/dialogusr-complex-dialogue-utterance#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/learning-robust-representations-for-continual"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2210.04497.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/learning-robust-representations-for-continual">Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learning-robust-representations-for-continual#code">1 code implementation</a> • <span class="author-name-text item-date-pub">10 Oct 2022</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/yifan-song">YiFan Song</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In this paper, through empirical studies we argue that this assumption may not hold, and an important reason for catastrophic forgetting is that the learned representations do not have good robustness against the appearance of analogous relations in the subsequent learning process.</p> <div class="sota"> </div> <p> <a href="/task/continual-relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Continual Relation Extraction</span> </span> </a> <a href="/task/relation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Relation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 13</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learning-robust-representations-for-continual" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/learning-robust-representations-for-continual#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/calibrating-factual-knowledge-in-pretrained"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/5434d3b6-1bf2-454e-ab34-3c00d700612c.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/calibrating-factual-knowledge-in-pretrained">Calibrating Factual Knowledge in Pretrained Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/calibrating-factual-knowledge-in-pretrained#code">1 code implementation</a> • <span class="author-name-text item-date-pub">7 Oct 2022</span> • <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/yifan-song">YiFan Song</a></span>, <span class="author-span "> <a href="/author/jingjing-xu">Jingjing Xu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span> </p> <p class="item-strip-abstract">However, we find that facts stored in the PLMs are not always correct.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-probing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Probing</span> </span> </a> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 33</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/calibrating-factual-knowledge-in-pretrained" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/calibrating-factual-knowledge-in-pretrained#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/less-is-more-rethinking-state-of-the-art"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2209.00243.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/less-is-more-rethinking-state-of-the-art">Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/less-is-more-rethinking-state-of-the-art#code">no code implementations</a> • <span class="author-name-text item-date-pub">1 Sep 2022</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/yifan-song">YiFan Song</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/rundong-gao">Rundong Gao</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">2) Balanced Tuning (BT) finetunes the model on the balanced memory data.</p> <div class="sota"> </div> <p> <a href="/task/continual-relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Continual Relation Extraction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/less-is-more-rethinking-state-of-the-art" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/less-is-more-rethinking-state-of-the-art#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/neural-knowledge-bank-for-pretrained"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2208.00399.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/neural-knowledge-bank-for-pretrained">Neural Knowledge Bank for Pretrained Transformers</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/neural-knowledge-bank-for-pretrained#code">no code implementations</a> • <span class="author-name-text item-date-pub">31 Jul 2022</span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/wenbin-jiang">Wenbin Jiang</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/yajuan-lyu">Yajuan Lyu</a></span>, <span class="author-span "> <a href="/author/qiaoqiao-she">Qiaoqiao She</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">The ability of pretrained Transformers to remember factual knowledge is essential but still limited for existing models.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/neural-knowledge-bank-for-pretrained#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/neural-knowledge-bank-for-pretrained" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/neural-knowledge-bank-for-pretrained#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/robust-fine-tuning-via-perturbation-and"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.00633.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/robust-fine-tuning-via-perturbation-and">Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/robust-fine-tuning-via-perturbation-and#code">1 code implementation</a> • <span class="author-name-text item-date-pub">2 May 2022</span> • <span class="author-span "> <a href="/author/shoujie-tong">Shoujie Tong</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/yifan-song">YiFan Song</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">For each instance in a batch, we involve other instances in the same batch to interact with it.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 15</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/robust-fine-tuning-via-perturbation-and" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/robust-fine-tuning-via-perturbation-and#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-two-stream-amr-enhanced-model-for-document-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.00241.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-two-stream-amr-enhanced-model-for-document-1">A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-two-stream-amr-enhanced-model-for-document-1#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/naacl-2022-7"> NAACL 2022 </a> </span> • <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/shuang-zeng">Shuang Zeng</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In this paper, we focus on extracting event arguments from an entire document, which mainly faces two critical problems: a) the long-distance dependency between trigger and arguments over sentences; b) the distracting context towards an event in the document.</p> <div class="sota"> </div> <p> <a href="/task/abstract-meaning-representation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Abstract Meaning Representation</span> </span> </a> <a href="/task/document-level-event-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Document-level Event Extraction</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/a-two-stream-amr-enhanced-model-for-document-1#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 16</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-two-stream-amr-enhanced-model-for-document-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-two-stream-amr-enhanced-model-for-document-1#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/hpt-hierarchy-aware-prompt-tuning-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2204.13413.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/hpt-hierarchy-aware-prompt-tuning-for">HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hpt-hierarchy-aware-prompt-tuning-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">28 Apr 2022</span> • <span class="author-span "> <a href="/author/zihan-wang">Zihan Wang</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/binghuai-lin">Binghuai Lin</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/houfeng-wang">Houfeng Wang</a></span> </p> <p class="item-strip-abstract">However, in this paradigm, there exists a huge gap between the classification tasks with sophisticated label hierarchy and the masked language model (MLM) pretraining tasks of PLMs and thus the potentials of PLMs can not be fully tapped.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/multi-label-classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multi-Label Classification</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/hpt-hierarchy-aware-prompt-tuning-for#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 62</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/hpt-hierarchy-aware-prompt-tuning-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/hpt-hierarchy-aware-prompt-tuning-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/atp-amrize-then-parse-enhancing-amr-parsing"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/01eca20c-d1e6-4086-b9e9-4e980e9f9634.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/atp-amrize-then-parse-enhancing-amr-parsing">ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/atp-amrize-then-parse-enhancing-amr-parsing#code">2 code implementations</a> • <span class="item-conference-link"> <a href="/conference/findings-naacl-2022-7"> Findings (NAACL) 2022 </a> </span> • <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">As Abstract Meaning Representation (AMR) implicitly involves compound semantic annotations, we hypothesize auxiliary tasks which are semantically or formally related can better enhance AMR parsing.</p> <div class="sota"> <p> <a href="/sota/amr-parsing-on-ldc2020t02"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/amr-parsing-on-ldc2020t02-small_43aaaeee.png"/> </a> Ranked #7 on <a href="/sota/amr-parsing-on-ldc2020t02"> AMR Parsing on LDC2020T02 </a> (using extra training data) </p> </div> <p> <a href="/task/abstract-meaning-representation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Abstract Meaning Representation</span> </span> </a> <a href="/task/amr-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>AMR Parsing</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/atp-amrize-then-parse-enhancing-amr-parsing#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 14</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/atp-amrize-then-parse-enhancing-amr-parsing" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/atp-amrize-then-parse-enhancing-amr-parsing#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2204.08396.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1">StableMoE: Stable Routing Strategy for Mixture of Experts</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/shuming-ma">Shuming Ma</a></span>, <span class="author-span "> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">We point out that existing learning-to-route MoE methods suffer from the routing fluctuation issue, i. e., the target expert of the same input may change along with training, but only one expert will be activated for the input during inference.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 42</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/mixture-of-experts-for-biomedical-question"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2204.07469.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/mixture-of-experts-for-biomedical-question">Mixture of Experts for Biomedical Question Answering</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/mixture-of-experts-for-biomedical-question#code">no code implementations</a> • <span class="author-name-text item-date-pub">15 Apr 2022</span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/wenbin-jiang">Wenbin Jiang</a></span>, <span class="author-span "> <a href="/author/jiyuan-zhang">Jiyuan Zhang</a></span>, <span class="author-span "> <a href="/author/weihua-peng">Weihua Peng</a></span>, <span class="author-span "> <a href="/author/yajuan-lyu">Yajuan Lyu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/yong-zhu">Yong Zhu</a></span> </p> <p class="item-strip-abstract">In this paper, in order to alleviate the parameter competition problem, we propose a Mixture-of-Expert (MoE) based question answering method called MoEBQA that decouples the computation for different types of questions by sparse routing.</p> <div class="sota"> </div> <p> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/mixture-of-experts-for-biomedical-question" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/mixture-of-experts-for-biomedical-question#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/lossless-speedup-of-autoregressive"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/be0f82ad-91c7-4549-9d87-79a41abebc63.gif');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/lossless-speedup-of-autoregressive">Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/lossless-speedup-of-autoregressive#code">2 code implementations</a> • <span class="author-name-text item-date-pub">30 Mar 2022</span> • <span class="author-span "> <a href="/author/heming-xia">Heming Xia</a></span>, <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/si-qing-chen">Si-Qing Chen</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">We propose Speculative Decoding (SpecDec), for the first time ever, to formally study exploiting the idea of speculative execution to accelerate autoregressive (AR) decoding.</p> <div class="sota"> </div> <p> <a href="/task/abstractive-text-summarization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2bf36efe-2c1b-4d17-ad16-a73f7df0f633.jpg"> <span>Abstractive Text Summarization</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/lossless-speedup-of-autoregressive#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 33</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/lossless-speedup-of-autoregressive" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/lossless-speedup-of-autoregressive#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-roadmap-for-big-model"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2203.14101.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-roadmap-for-big-model">A Roadmap for Big Model</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-roadmap-for-big-model#code">no code implementations</a> • <span class="author-name-text item-date-pub">26 Mar 2022</span> • <span class="author-span "> <a href="/author/sha-yuan">Sha Yuan</a></span>, <span class="author-span "> <a href="/author/hanyu-zhao">Hanyu Zhao</a></span>, <span class="author-span "> <a href="/author/shuai-zhao">Shuai Zhao</a></span>, <span class="author-span "> <a href="/author/jiahong-leng">Jiahong Leng</a></span>, <span class="author-span "> <a href="/author/yangxiao-liang">Yangxiao Liang</a></span>, <span class="author-span "> <a href="/author/xiaozhi-wang">Xiaozhi Wang</a></span>, <span class="author-span "> <a href="/author/jifan-yu">Jifan Yu</a></span>, <span class="author-span "> <a href="/author/xin-lv">Xin Lv</a></span>, <span class="author-span "> <a href="/author/zhou-shao">Zhou Shao</a></span>, <span class="author-span "> <a href="/author/jiaao-he">Jiaao He</a></span>, <span class="author-span "> <a href="/author/yankai-lin">Yankai Lin</a></span>, <span class="author-span "> <a href="/author/xu-han">Xu Han</a></span>, <span class="author-span "> <a href="/author/zhenghao-liu">Zhenghao Liu</a></span>, <span class="author-span "> <a href="/author/ning-ding">Ning Ding</a></span>, <span class="author-span "> <a href="/author/yongming-rao">Yongming Rao</a></span>, <span class="author-span "> <a href="/author/yizhao-gao">Yizhao Gao</a></span>, <span class="author-span "> <a href="/author/liang-zhang">Liang Zhang</a></span>, <span class="author-span "> <a href="/author/ming-ding">Ming Ding</a></span>, <span class="author-span "> <a href="/author/cong-fang">Cong Fang</a></span>, <span class="author-span "> <a href="/author/yisen-wang">Yisen Wang</a></span>, <span class="author-span "> <a href="/author/mingsheng-long">Mingsheng Long</a></span>, <span class="author-span "> <a href="/author/jing-zhang">Jing Zhang</a></span>, <span class="author-span "> <a href="/author/yinpeng-dong">Yinpeng Dong</a></span>, <span class="author-span "> <a href="/author/tianyu-pang">Tianyu Pang</a></span>, <span class="author-span "> <a href="/author/peng-cui">Peng Cui</a></span>, <span class="author-span "> <a href="/author/lingxiao-huang">Lingxiao Huang</a></span>, <span class="author-span "> <a href="/author/zheng-liang">Zheng Liang</a></span>, <span class="author-span "> <a href="/author/huawei-shen">HuaWei Shen</a></span>, <span class="author-span "> <a href="/author/hui-zhang">HUI ZHANG</a></span>, <span class="author-span "> <a href="/author/quanshi-zhang">Quanshi Zhang</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/zhixing-tan">Zhixing Tan</a></span>, <span class="author-span "> <a href="/author/mingxuan-wang">Mingxuan Wang</a></span>, <span class="author-span "> <a href="/author/shuo-wang">Shuo Wang</a></span>, <span class="author-span "> <a href="/author/long-zhou">Long Zhou</a></span>, <span class="author-span "> <a href="/author/haoran-li">Haoran Li</a></span>, <span class="author-span "> <a href="/author/junwei-bao">Junwei Bao</a></span>, <span class="author-span "> <a href="/author/yingwei-pan">Yingwei Pan</a></span>, <span class="author-span "> <a href="/author/weinan-zhang">Weinan Zhang</a></span>, <span class="author-span "> <a href="/author/zhou-yu">Zhou Yu</a></span>, <span class="author-span "> <a href="/author/rui-yan">Rui Yan</a></span>, <span class="author-span "> <a href="/author/chence-shi">Chence Shi</a></span>, <span class="author-span "> <a href="/author/minghao-xu">Minghao Xu</a></span>, <span class="author-span "> <a href="/author/zuobai-zhang">Zuobai Zhang</a></span>, <span class="author-span "> <a href="/author/guoqiang-wang">Guoqiang Wang</a></span>, <span class="author-span "> <a href="/author/xiang-pan">Xiang Pan</a></span>, <span class="author-span "> <a href="/author/mengjie-li">Mengjie Li</a></span>, <span class="author-span "> <a href="/author/xiaoyu-chu">Xiaoyu Chu</a></span>, <span class="author-span "> <a href="/author/zijun-yao">Zijun Yao</a></span>, <span class="author-span "> <a href="/author/fangwei-zhu">Fangwei Zhu</a></span>, <span class="author-span "> <a href="/author/shulin-cao">Shulin Cao</a></span>, <span class="author-span "> <a href="/author/weicheng-xue">Weicheng Xue</a></span>, <span class="author-span "> <a href="/author/zixuan-ma">Zixuan Ma</a></span>, <span class="author-span "> <a href="/author/zhengyan-zhang">Zhengyan Zhang</a></span>, <span class="author-span "> <a href="/author/shengding-hu">Shengding Hu</a></span>, <span class="author-span "> <a href="/author/yujia-qin">Yujia Qin</a></span>, <span class="author-span "> <a href="/author/chaojun-xiao">Chaojun Xiao</a></span>, <span class="author-span "> <a href="/author/zheni-zeng">Zheni Zeng</a></span>, <span class="author-span "> <a href="/author/ganqu-cui">Ganqu Cui</a></span>, <span class="author-span "> <a href="/author/weize-chen">Weize Chen</a></span>, <span class="author-span "> <a href="/author/weilin-zhao">Weilin Zhao</a></span>, <span class="author-span "> <a href="/author/yuan-yao-1">Yuan YAO</a></span>, <span class="author-span "> <a href="/author/peng-li">Peng Li</a></span>, <span class="author-span "> <a href="/author/wenzhao-zheng">Wenzhao Zheng</a></span>, <span class="author-span "> <a href="/author/wenliang-zhao">Wenliang Zhao</a></span>, <span class="author-span "> <a href="/author/ziyi-wang">Ziyi Wang</a></span>, <span class="author-span "> <a href="/author/borui-zhang">Borui Zhang</a></span>, <span class="author-span "> <a href="/author/nanyi-fei">Nanyi Fei</a></span>, <span class="author-span "> <a href="/author/anwen-hu">Anwen Hu</a></span>, <span class="author-span "> <a href="/author/zenan-ling">Zenan Ling</a></span>, <span class="author-span "> <a href="/author/haoyang-li">Haoyang Li</a></span>, <span class="author-span "> <a href="/author/boxi-cao">Boxi Cao</a></span>, <span class="author-span "> <a href="/author/xianpei-han">Xianpei Han</a></span>, <span class="author-span "> <a href="/author/weidong-zhan">Weidong Zhan</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/hao-sun">Hao Sun</a></span>, <span class="author-span "> <a href="/author/jiawen-deng">Jiawen Deng</a></span>, <span class="author-span "> <a href="/author/chujie-zheng">Chujie Zheng</a></span>, <span class="author-span "> <a href="/author/juanzi-li">Juanzi Li</a></span>, <span class="author-span "> <a href="/author/lei-hou">Lei Hou</a></span>, <span class="author-span "> <a href="/author/xigang-cao">Xigang Cao</a></span>, <span class="author-span "> <a href="/author/jidong-zhai">Jidong Zhai</a></span>, <span class="author-span "> <a href="/author/zhiyuan-liu">Zhiyuan Liu</a></span>, <span class="author-span "> <a href="/author/maosong-sun">Maosong Sun</a></span>, <span class="author-span "> <a href="/author/jiwen-lu">Jiwen Lu</a></span>, <span class="author-span "> <a href="/author/zhiwu-lu">Zhiwu Lu</a></span>, <span class="author-span "> <a href="/author/qin-jin">Qin Jin</a></span>, <span class="author-span "> <a href="/author/ruihua-song">Ruihua Song</a></span>, <span class="author-span "> <a href="/author/ji-rong-wen">Ji-Rong Wen</a></span>, <span class="author-span "> <a href="/author/zhouchen-lin">Zhouchen Lin</a></span>, <span class="author-span "> <a href="/author/liwei-wang">LiWei Wang</a></span>, <span class="author-span "> <a href="/author/hang-su">Hang Su</a></span>, <span class="author-span "> <a href="/author/jun-zhu">Jun Zhu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/jiajun-zhang">Jiajun Zhang</a></span>, <span class="author-span "> <a href="/author/yang-liu">Yang Liu</a></span>, <span class="author-span "> <a href="/author/xiaodong-he">Xiaodong He</a></span>, <span class="author-span "> <a href="/author/minlie-huang">Minlie Huang</a></span>, <span class="author-span "> <a href="/author/jian-tang">Jian Tang</a></span>, <span class="author-span "> <a href="/author/jie-tang">Jie Tang</a></span> </p> <p class="item-strip-abstract">With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/a-roadmap-for-big-model#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-roadmap-for-big-model" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-roadmap-for-big-model#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/cuge-a-chinese-language-understanding-and"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2112.13610.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/cuge-a-chinese-language-understanding-and">CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/cuge-a-chinese-language-understanding-and#code">no code implementations</a> • <span class="author-name-text item-date-pub">27 Dec 2021</span> • <span class="author-span "> <a href="/author/yuan-yao-1">Yuan YAO</a></span>, <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span "> <a href="/author/jian-guan">Jian Guan</a></span>, <span class="author-span "> <a href="/author/boxi-cao">Boxi Cao</a></span>, <span class="author-span "> <a href="/author/zhengyan-zhang">Zhengyan Zhang</a></span>, <span class="author-span "> <a href="/author/chaojun-xiao">Chaojun Xiao</a></span>, <span class="author-span "> <a href="/author/xiaozhi-wang">Xiaozhi Wang</a></span>, <span class="author-span "> <a href="/author/fanchao-qi">Fanchao Qi</a></span>, <span class="author-span "> <a href="/author/junwei-bao">Junwei Bao</a></span>, <span class="author-span "> <a href="/author/jinran-nie">Jinran Nie</a></span>, <span class="author-span "> <a href="/author/zheni-zeng">Zheni Zeng</a></span>, <span class="author-span "> <a href="/author/yuxian-gu">Yuxian Gu</a></span>, <span class="author-span "> <a href="/author/kun-zhou">Kun Zhou</a></span>, <span class="author-span "> <a href="/author/xuancheng-huang">Xuancheng Huang</a></span>, <span class="author-span "> <a href="/author/wenhao-li">Wenhao Li</a></span>, <span class="author-span "> <a href="/author/shuhuai-ren">Shuhuai Ren</a></span>, <span class="author-span "> <a href="/author/jinliang-lu">Jinliang Lu</a></span>, <span class="author-span "> <a href="/author/chengqiang-xu">Chengqiang Xu</a></span>, <span class="author-span "> <a href="/author/huadong-wang">Huadong Wang</a></span>, <span class="author-span "> <a href="/author/guoyang-zeng">Guoyang Zeng</a></span>, <span class="author-span "> <a href="/author/zile-zhou">Zile Zhou</a></span>, <span class="author-span "> <a href="/author/jiajun-zhang">Jiajun Zhang</a></span>, <span class="author-span "> <a href="/author/juanzi-li">Juanzi Li</a></span>, <span class="author-span "> <a href="/author/minlie-huang">Minlie Huang</a></span>, <span class="author-span "> <a href="/author/rui-yan">Rui Yan</a></span>, <span class="author-span "> <a href="/author/xiaodong-he">Xiaodong He</a></span>, <span class="author-span "> <a href="/author/xiaojun-wan">Xiaojun Wan</a></span>, <span class="author-span "> <a href="/author/xin-zhao">Xin Zhao</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span>, <span class="author-span "> <a href="/author/yang-liu">Yang Liu</a></span>, <span class="author-span "> <a href="/author/zhiyuan-liu">Zhiyuan Liu</a></span>, <span class="author-span "> <a href="/author/xianpei-han">Xianpei Han</a></span>, <span class="author-span "> <a href="/author/erhong-yang">Erhong Yang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/maosong-sun">Maosong Sun</a></span> </p> <p class="item-strip-abstract">We argue that for general-purpose language intelligence evaluation, the benchmark itself needs to be comprehensive and systematic.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/cuge-a-chinese-language-understanding-and" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/cuge-a-chinese-language-understanding-and#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/hierarchical-curriculum-learning-for-amr"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/a73954bd-a1f3-4fa5-bd98-7f5acb890c9e.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/hierarchical-curriculum-learning-for-amr">Hierarchical Curriculum Learning for AMR Parsing</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hierarchical-curriculum-learning-for-amr#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Abstract Meaning Representation (AMR) parsing aims to translate sentences to semantic representation with a hierarchical structure, and is recently empowered by pretrained sequence-to-sequence models.</p> <div class="sota"> </div> <p> <a href="/task/abstract-meaning-representation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Abstract Meaning Representation</span> </span> </a> <a href="/task/amr-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>AMR Parsing</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/hierarchical-curriculum-learning-for-amr#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 13</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/hierarchical-curriculum-learning-for-amr" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/hierarchical-curriculum-learning-for-amr#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/an-enhanced-span-based-decomposition-method"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/d62d8daa-e7ff-4812-8127-c369d0390cb4.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/an-enhanced-span-based-decomposition-method">An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/an-enhanced-span-based-decomposition-method#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/naacl-2022-7"> NAACL 2022 </a> </span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/qingyu-zhou">Qingyu Zhou</a></span>, <span class="author-span "> <a href="/author/yunbo-cao">Yunbo Cao</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Few-Shot Sequence Labeling (FSSL) is a canonical paradigm for the tagging models, e. g., named entity recognition and slot filling, to generalize on an emerging, resource-scarce domain.</p> <div class="sota"> <p> <a href="/sota/few-shot-ner-on-few-nerd-inter"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/few-shot-ner-on-few-nerd-inter-small_78cd2db2.png"/> </a> Ranked #7 on <a href="/sota/few-shot-ner-on-few-nerd-inter"> Few-shot NER on Few-NERD (INTER) </a> </p> </div> <p> <a href="/task/few-shot-ner"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Few-shot NER</span> </span> </a> <a href="/task/meta-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001088-6b0b3a7f_0bh9941.jpg"> <span>Meta-Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/an-enhanced-span-based-decomposition-method#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 27</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/an-enhanced-span-based-decomposition-method" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/an-enhanced-span-based-decomposition-method#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/behind-the-scenes-an-exploration-of-trigger"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2108.12844.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/behind-the-scenes-an-exploration-of-trigger">Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/behind-the-scenes-an-exploration-of-trigger#code">1 code implementation</a> • <span class="author-name-text item-date-pub">29 Aug 2021</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">However, we find they suffer from trigger biases that signify the statistical homogeneity between some trigger words and target event types, which we summarize as trigger overlapping and trigger separability.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 11</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/behind-the-scenes-an-exploration-of-trigger" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/behind-the-scenes-an-exploration-of-trigger#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/explicit-interaction-network-for-aspect"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2106.11148.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/explicit-interaction-network-for-aspect">Explicit Interaction Network for Aspect Sentiment Triplet Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/explicit-interaction-network-for-aspect#code">no code implementations</a> • <span class="author-name-text item-date-pub">21 Jun 2021</span> • <span class="author-span "> <a href="/author/peiyi-wang">Peiyi Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Table encoder extracts sentiment at token-pair level, so that the compositional feature between targets and opinions can be easily captured.</p> <div class="sota"> </div> <p> <a href="/task/aspect-sentiment-triplet-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000002224-c193a235.jpg"> <span>Aspect Sentiment Triplet Extraction</span> </span> </a> <a href="/task/sentence"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Sentence</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/explicit-interaction-network-for-aspect#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/explicit-interaction-network-for-aspect" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/explicit-interaction-network-for-aspect#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/cblue-a-chinese-biomedical-language"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/5a0e9ab8-0c9f-42de-bee4-1b99e0bd086c.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/cblue-a-chinese-biomedical-language">CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/cblue-a-chinese-biomedical-language#code">2 code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/ningyu-zhang">Ningyu Zhang</a></span>, <span class="author-span "> <a href="/author/mosha-chen">Mosha Chen</a></span>, <span class="author-span "> <a href="/author/zhen-bi">Zhen Bi</a></span>, <span class="author-span "> <a href="/author/xiaozhuan-liang">Xiaozhuan Liang</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/xin-shang">Xin Shang</a></span>, <span class="author-span "> <a href="/author/kangping-yin">Kangping Yin</a></span>, <span class="author-span "> <a href="/author/chuanqi-tan">Chuanqi Tan</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span "> <a href="/author/fei-huang">Fei Huang</a></span>, <span class="author-span "> <a href="/author/luo-si">Luo Si</a></span>, <span class="author-span "> <a href="/author/yuan-ni">Yuan Ni</a></span>, <span class="author-span "> <a href="/author/guotong-xie">Guotong Xie</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/hui-zong">Hui Zong</a></span>, <span class="author-span "> <a href="/author/zheng-yuan">Zheng Yuan</a></span>, <span class="author-span "> <a href="/author/linfeng-li">Linfeng Li</a></span>, <span class="author-span "> <a href="/author/jun-yan">Jun Yan</a></span>, <span class="author-span "> <a href="/author/hongying-zan">Hongying Zan</a></span>, <span class="author-span "> <a href="/author/kunli-zhang">Kunli Zhang</a></span>, <span class="author-span "> <a href="/author/buzhou-tang">Buzhou Tang</a></span>, <span class="author-span "> <a href="/author/qingcai-chen">Qingcai Chen</a></span> </p> <p class="item-strip-abstract">Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.</p> <div class="sota"> <p> <a href="/sota/semantic-similarity-on-chip-sts"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/semantic-similarity-on-chip-sts-small_3a24f8b2.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/semantic-similarity-on-chip-sts"> Semantic Similarity on CHIP-STS </a> </p> </div> <p> <a href="/task/intent-classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Intent Classification</span> </span> </a> <a href="/task/medical-concept-normalization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Medical Concept Normalization</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/cblue-a-chinese-biomedical-language#tasks"> <span class="badge badge-primary"> <b>+8</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 736</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/cblue-a-chinese-biomedical-language" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/cblue-a-chinese-biomedical-language#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/decompose-fuse-and-generate-a-formation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/818012.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/decompose-fuse-and-generate-a-formation">Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/decompose-fuse-and-generate-a-formation#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/naacl-2021-4"> NAACL 2021 </a> </span> • <span class="author-span "> <a href="/author/hua-zheng">Hua Zheng</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/yang-liu">Yang Liu</a></span> </p> <p class="item-strip-abstract">In this paper, we tackle the task of Definition Generation (DG) in Chinese, which aims at automatically generating a definition for a word.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/decompose-fuse-and-generate-a-formation" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/decompose-fuse-and-generate-a-formation#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/problems-and-countermeasures-in-natural"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2104.09712.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/problems-and-countermeasures-in-natural">Problems and Countermeasures in Natural Language Processing Evaluation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/problems-and-countermeasures-in-natural#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Apr 2021</span> • <span class="author-span "> <a href="/author/qingxiu-dong">Qingxiu Dong</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/weidong-zhan">Weidong Zhan</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">Starting from the concept, com-position, development and meaning of natural language evaluation, this article classifies and summarizes the tasks and char-acteristics of mainstream natural language evaluation, and then summarizes the problems and causes of natural language pro-cessing evaluation.</p> <div class="sota"> </div> <p> <a href="/task/position"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Position</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/problems-and-countermeasures-in-natural" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/problems-and-countermeasures-in-natural#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/knowledge-neurons-in-pretrained-transformers"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/87406031-af9d-4e07-84a7-1b1ecf05a429.gif');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/knowledge-neurons-in-pretrained-transformers">Knowledge Neurons in Pretrained Transformers</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/knowledge-neurons-in-pretrained-transformers#code">3 code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/yaru-hao">Yaru Hao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">In this paper, we present preliminary studies on how factual knowledge is stored in pretrained Transformers by introducing the concept of knowledge neurons.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 578</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/knowledge-neurons-in-pretrained-transformers" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/knowledge-neurons-in-pretrained-transformers#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-token-level-reference-free-hallucination"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/ff86ed62-9b37-4928-a5fc-9175c0087d29.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-token-level-reference-free-hallucination">A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-token-level-reference-free-hallucination#code">2 code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/yizhe-zhang">Yizhe Zhang</a></span>, <span class="author-span "> <a href="/author/chris-brockett">Chris Brockett</a></span>, <span class="author-span "> <a href="/author/yi-mao">Yi Mao</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/weizhu-chen">Weizhu Chen</a></span>, <span class="author-span "> <a href="/author/bill-dolan">Bill Dolan</a></span> </p> <p class="item-strip-abstract">Large pretrained generative models like GPT-3 often suffer from hallucinating non-existent or incorrect content, which undermines their potential merits in real applications.</p> <div class="sota"> </div> <p> <a href="/task/hallucination"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Hallucination</span> </span> </a> <a href="/task/sentence"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Sentence</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/a-token-level-reference-free-hallucination#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 93</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-token-level-reference-free-hallucination" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-token-level-reference-free-hallucination#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/incorporating-connections-beyond-knowledge"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2103.14443.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/incorporating-connections-beyond-knowledge">Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/incorporating-connections-beyond-knowledge#code">no code implementations</a> • <span class="author-name-text item-date-pub">26 Mar 2021</span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/hua-zheng">Hua Zheng</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">Conventional Machine Reading Comprehension (MRC) has been well-addressed by pattern matching, but the ability of commonsense reasoning remains a gap between humans and machines.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-graph-embeddings"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Graph Embeddings</span> </span> </a> <a href="/task/knowledge-graphs"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Graphs</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/incorporating-connections-beyond-knowledge#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/incorporating-connections-beyond-knowledge" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/incorporating-connections-beyond-knowledge#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-faithfulness-in-open-domain-table-to"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0001734917-005e749f.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-faithfulness-in-open-domain-table-to">Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-faithfulness-in-open-domain-table-to#code">1 code implementation</a> • <span class="author-name-text item-date-pub">17 Feb 2021</span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/xin-zheng">Xin Zheng</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In open domain table-to-text generation, we notice that the unfaithful generation usually contains hallucinated content which can not be aligned to any input table record.</p> <div class="sota"> </div> <p> <a href="/task/few-shot-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Few-Shot Learning</span> </span> </a> <a href="/task/table-to-text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/32c83b46-57c6-45ba-bf8b-a326dde08c5a.jpg"> <span>Table-to-Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 907</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-faithfulness-in-open-domain-table-to" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-faithfulness-in-open-domain-table-to#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/coarse-to-fine-entity-representations-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2012.02507.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/coarse-to-fine-entity-representations-for">Coarse-to-Fine Entity Representations for Document-level Relation Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/coarse-to-fine-entity-representations-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">4 Dec 2020</span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/jing-ren">Jing Ren</a></span>, <span class="author-span "> <a href="/author/shuang-zeng">Shuang Zeng</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In classification, we combine the entity representations from both two levels into more comprehensive representations for relation extraction.</p> <div class="sota"> <p> <a href="/sota/relation-extraction-on-docred"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/relation-extraction-on-docred-small_76e0c57a.png"/> </a> Ranked #34 on <a href="/sota/relation-extraction-on-docred"> Relation Extraction on DocRED </a> </p> </div> <p> <a href="/task/document-level-relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Document-level Relation Extraction</span> </span> </a> <a href="/task/relation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Relation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 7</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/coarse-to-fine-entity-representations-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/coarse-to-fine-entity-representations-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/an-anchor-based-automatic-evaluation-metric"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/868220.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/an-anchor-based-automatic-evaluation-metric">An Anchor-Based Automatic Evaluation Metric for Document Summarization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/an-anchor-based-automatic-evaluation-metric#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/coling-2020-8"> COLING 2020 </a> </span> • <span class="author-span "> <a href="/author/kexiang-wang">Kexiang Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">The widespread adoption of reference-based automatic evaluation metrics such as ROUGE has promoted the development of document summarization.</p> <div class="sota"> </div> <p> <a href="/task/document-summarization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Document Summarization</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/an-anchor-based-automatic-evaluation-metric" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/an-anchor-based-automatic-evaluation-metric#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/discriminatively-tuned-generative-classifiers"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2010.03760.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/discriminatively-tuned-generative-classifiers">Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/discriminatively-tuned-generative-classifiers#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2020-11"> EMNLP 2020 </a> </span> • <span class="author-span "> <a href="/author/xiaoan-ding">Xiaoan Ding</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/kevin-gimpel">Kevin Gimpel</a></span> </p> <p class="item-strip-abstract">We explore training objectives for discriminative fine-tuning of our generative classifiers, showing improvements over log loss fine-tuning from prior work .</p> <div class="sota"> </div> <p> <a href="/task/natural-language-inference"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000263-d118c799.jpg"> <span>Natural Language Inference</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 0</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/discriminatively-tuned-generative-classifiers" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/discriminatively-tuned-generative-classifiers#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/an-empirical-study-on-model-agnostic"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2010.03777.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/an-empirical-study-on-model-agnostic">An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/an-empirical-study-on-model-agnostic#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/conll-2020"> CONLL 2020 </a> </span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/xin-zheng">Xin Zheng</a></span>, <span class="author-span "> <a href="/author/xiaoan-ding">Xiaoan Ding</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">The prior work on natural language inference (NLI) debiasing mainly targets at one or few known biases while not necessarily making the models more robust.</p> <div class="sota"> </div> <p> <a href="/task/data-augmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001560-029cbc00.jpg"> <span>Data Augmentation</span> </span> </a> <a href="/task/natural-language-inference"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000263-d118c799.jpg"> <span>Natural Language Inference</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 3</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/an-empirical-study-on-model-agnostic" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/an-empirical-study-on-model-agnostic#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/inductively-representing-out-of-knowledge"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2009.12765.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/inductively-representing-out-of-knowledge">Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/inductively-representing-out-of-knowledge#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-repl4nlp-2021-8"> ACL (RepL4NLP) 2021 </a> </span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/hua-zheng">Hua Zheng</a></span>, <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/pengcheng-yang">Pengcheng Yang</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Conventional Knowledge Graph Completion (KGC) assumes that all test entities appear during training.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-graph-embedding"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Graph Embedding</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 4</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/inductively-representing-out-of-knowledge" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/inductively-representing-out-of-knowledge#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/hyponli-exploring-the-artificial-patterns-of"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2003.02756.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/hyponli-exploring-the-artificial-patterns-of">HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hyponli-exploring-the-artificial-patterns-of#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/lrec-2020-5"> LREC 2020 </a> </span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/xin-zheng">Xin Zheng</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Many recent studies have shown that for models trained on datasets for natural language inference (NLI), it is possible to make correct predictions by merely looking at the hypothesis while completely ignoring the premise.</p> <div class="sota"> </div> <p> <a href="/task/natural-language-inference"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000263-d118c799.jpg"> <span>Natural Language Inference</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/hyponli-exploring-the-artificial-patterns-of" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/hyponli-exploring-the-artificial-patterns-of#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/xgpt-cross-modal-generative-pre-training-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2003.01473.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/xgpt-cross-modal-generative-pre-training-for">XGPT: Cross-modal Generative Pre-Training for Image Captioning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/xgpt-cross-modal-generative-pre-training-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Mar 2020</span> • <span class="author-span "> <a href="/author/qiaolin-xia">Qiaolin Xia</a></span>, <span class="author-span "> <a href="/author/haoyang-huang">Haoyang Huang</a></span>, <span class="author-span "> <a href="/author/nan-duan">Nan Duan</a></span>, <span class="author-span "> <a href="/author/dong-dong-zhang">Dong-dong Zhang</a></span>, <span class="author-span "> <a href="/author/lei-ji">Lei Ji</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/edward-cui">Edward Cui</a></span>, <span class="author-span "> <a href="/author/taroon-bharti">Taroon Bharti</a></span>, <span class="author-span "> <a href="/author/xin-liu">Xin Liu</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span> </p> <p class="item-strip-abstract">While many BERT-based cross-modal pre-trained models produce excellent results on downstream understanding tasks like image-text retrieval and VQA, they cannot be applied to generation tasks directly.</p> <div class="sota"> </div> <p> <a href="/task/data-augmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001560-029cbc00.jpg"> <span>Data Augmentation</span> </span> </a> <a href="/task/denoising"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/6c4d53f8-9c6d-47c8-80c7-1b8e1c0a7d42.jpg"> <span>Denoising</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/xgpt-cross-modal-generative-pre-training-for#tasks"> <span class="badge badge-primary"> <b>+7</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/xgpt-cross-modal-generative-pre-training-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/xgpt-cross-modal-generative-pre-training-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/multi-view-learning-for-vision-and-language"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2003.00857.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/multi-view-learning-for-vision-and-language">Multi-View Learning for Vision-and-Language Navigation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/multi-view-learning-for-vision-and-language#code">no code implementations</a> • <span class="author-name-text item-date-pub">2 Mar 2020</span> • <span class="author-span "> <a href="/author/qiaolin-xia">Qiaolin Xia</a></span>, <span class="author-span "> <a href="/author/xiujun-li">Xiujun Li</a></span>, <span class="author-span "> <a href="/author/chunyuan-li">Chunyuan Li</a></span>, <span class="author-span "> <a href="/author/yonatan-bisk">Yonatan Bisk</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/jianfeng-gao">Jianfeng Gao</a></span>, <span class="author-span "> <a href="/author/yejin-choi">Yejin Choi</a></span>, <span class="author-span "> <a href="/author/noah-a-smith">Noah A. Smith</a></span> </p> <p class="item-strip-abstract">Learning to navigate in a visual environment following natural language instructions is a challenging task because natural language instructions are highly variable, ambiguous, and under-specified.</p> <div class="sota"> </div> <p> <a href="/task/multi-view-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>MULTI-VIEW LEARNING</span> </span> </a> <a href="/task/navigate"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Navigate</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/multi-view-learning-for-vision-and-language#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/multi-view-learning-for-vision-and-language" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/multi-view-learning-for-vision-and-language#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/pun-gan-generative-adversarial-network-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1910.10950.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/pun-gan-generative-adversarial-network-for">Pun-GAN: Generative Adversarial Network for Pun Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/pun-gan-generative-adversarial-network-for#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/ijcnlp-2019-11"> IJCNLP 2019 </a> </span> • <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/shunyao-li">Shunyao Li</a></span>, <span class="author-span "> <a href="/author/pengcheng-yang">Pengcheng Yang</a></span>, <span class="author-span "> <a href="/author/lei-li">Lei LI</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span> </p> <p class="item-strip-abstract">It consists of a generator to produce pun sentences, and a discriminator to distinguish between the generated pun sentences and the real sentences with specific word senses.</p> <div class="sota"> </div> <p> <a href="/task/generative-adversarial-network"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Generative Adversarial Network</span> </span> </a> <a href="/task/reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/pun-gan-generative-adversarial-network-for#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 41</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/pun-gan-generative-adversarial-network-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/pun-gan-generative-adversarial-network-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/learning-to-control-the-fine-grained"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/147563.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/learning-to-control-the-fine-grained">Learning to Control the Fine-grained Sentiment for Story Ending Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learning-to-control-the-fine-grained#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2019-7"> ACL 2019 </a> </span> • <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/pengcheng-yang">Pengcheng Yang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span> </p> <p class="item-strip-abstract">Therefore, we propose a generic and novel framework which consists of a sentiment analyzer and a sentimental generator, respectively addressing the two challenges.</p> <div class="sota"> </div> <p> <a href="/task/decoder"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decoder</span> </span> </a> <a href="/task/text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2a04ff75-1032-4f9f-911b-f7198faeb6f5.jpg"> <span>Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learning-to-control-the-fine-grained" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/learning-to-control-the-fine-grained#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-comprehensive-description-generation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/147560.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-comprehensive-description-generation">Towards Comprehensive Description Generation from Factual Attribute-value Tables</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-comprehensive-description-generation#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2019-7"> ACL 2019 </a> </span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/pengcheng-yang">Pengcheng Yang</a></span>, <span class="author-span "> <a href="/author/wei-wu">Wei Wu</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">To relieve these problems, we first propose force attention (FA) method to encourage the generator to pay more attention to the uncovered attributes to avoid potential key attributes missing.</p> <div class="sota"> </div> <p> <a href="/task/attribute"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Attribute</span> </span> </a> <a href="/task/reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-comprehensive-description-generation" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-comprehensive-description-generation#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-fine-grained-text-sentiment-transfer"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/147156.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-fine-grained-text-sentiment-transfer">Towards Fine-grained Text Sentiment Transfer</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-fine-grained-text-sentiment-transfer#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2019-7"> ACL 2019 </a> </span> • <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/peng-li">Peng Li</a></span>, <span class="author-span "> <a href="/author/pengcheng-yang">Pengcheng Yang</a></span>, <span class="author-span "> <a href="/author/jie-zhou-1">Jie zhou</a></span>, <span class="author-span "> <a href="/author/yutong-tan">Yutong Tan</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span> </p> <p class="item-strip-abstract">In this paper, we focus on the task of fine-grained text sentiment transfer (FGST).</p> <div class="sota"> </div> <p> <a href="/task/decoder"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decoder</span> </span> </a> <a href="/task/reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 45</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-fine-grained-text-sentiment-transfer" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-fine-grained-text-sentiment-transfer#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-dual-reinforcement-learning-framework-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0001329555-7d2655b6.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-dual-reinforcement-learning-framework-for">A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-dual-reinforcement-learning-framework-for#code">2 code implementations</a> • <span class="author-name-text item-date-pub">24 May 2019</span> • <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/peng-li">Peng Li</a></span>, <span class="author-span "> <a href="/author/jie-zhou-1">Jie zhou</a></span>, <span class="author-span "> <a href="/author/pengcheng-yang">Pengcheng Yang</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span> </p> <p class="item-strip-abstract">Therefore, in this paper, we propose a dual reinforcement learning framework to directly transfer the style of the text via a one-step mapping model, without any separation of content and style.</p> <div class="sota"> <p> <a href="/sota/unsupervised-text-style-transfer-on-gyafc"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/unsupervised-text-style-transfer-on-gyafc-small_8b086231.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/unsupervised-text-style-transfer-on-gyafc"> Unsupervised Text Style Transfer on GYAFC </a> </p> </div> <p> <a href="/task/reinforcement-learning-2"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>reinforcement-learning</span> </span> </a> <a href="/task/reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/a-dual-reinforcement-learning-framework-for#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 264</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-dual-reinforcement-learning-framework-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-dual-reinforcement-learning-framework-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/leveraging-gloss-knowledge-in-neural-word"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/66038.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/leveraging-gloss-knowledge-in-neural-word">Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/leveraging-gloss-knowledge-in-neural-word#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2018-10"> EMNLP 2018 </a> </span> • <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/zexue-he">Zexue He</a></span>, <span class="author-span "> <a href="/author/qiaolin-xia">Qiaolin Xia</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">The goal of Word Sense Disambiguation (WSD) is to identify the correct meaning of a word in the particular context.</p> <div class="sota"> </div> <p> <a href="/task/sentence"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Sentence</span> </span> </a> <a href="/task/word-sense-disambiguation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Word Sense Disambiguation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/leveraging-gloss-knowledge-in-neural-word" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/leveraging-gloss-knowledge-in-neural-word#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/fine-grained-coordinated-cross-lingual-text"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/66139.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/fine-grained-coordinated-cross-lingual-text">Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/fine-grained-coordinated-cross-lingual-text#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2018-10"> EMNLP 2018 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/qing-dou">Qing Dou</a></span>, <span class="author-span "> <a href="/author/heng-ji">Heng Ji</a></span>, <span class="author-span "> <a href="/author/lei-cui">Lei Cui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span> </p> <p class="item-strip-abstract">This paper proposes to study fine-grained coordinated cross-lingual text stream alignment through a novel information network decipherment paradigm.</p> <div class="sota"> </div> <p> <a href="/task/decipherment"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decipherment</span> </span> </a> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/fine-grained-coordinated-cross-lingual-text" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/fine-grained-coordinated-cross-lingual-text#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/incorporating-glosses-into-neural-word-sense"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0000027616-7e770984.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/incorporating-glosses-into-neural-word-sense">Incorporating Glosses into Neural Word Sense Disambiguation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/incorporating-glosses-into-neural-word-sense#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2018-7"> ACL 2018 </a> </span> • <span class="author-span "> <a href="/author/fuli-luo">Fuli Luo</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/qiaolin-xia">Qiaolin Xia</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">GAS models the semantic relationship between the context and the gloss in an improved memory network framework, which breaks the barriers of the previous supervised methods and knowledge-based methods.</p> <div class="sota"> <p> <a href="/sota/word-sense-disambiguation-on-semeval-2015"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/word-sense-disambiguation-on-semeval-2015-small_8b0c4ae9.png"/> </a> Ranked #3 on <a href="/sota/word-sense-disambiguation-on-semeval-2015"> Word Sense Disambiguation on SemEval 2015 Task 13 </a> </p> </div> <p> <a href="/task/word-sense-disambiguation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Word Sense Disambiguation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 66</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/incorporating-glosses-into-neural-word-sense" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/incorporating-glosses-into-neural-word-sense#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/revisiting-distant-supervision-for-relation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/75750.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/revisiting-distant-supervision-for-relation">Revisiting Distant Supervision for Relation Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/revisiting-distant-supervision-for-relation#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/lrec-2018-5"> LREC 2018 </a> </span> • <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span>, <span class="author-span "> <a href="/author/jing-liu">Jing Liu</a></span>, <span class="author-span "> <a href="/author/chin-yew-lin">Chin-Yew Lin</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/relation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Relation</span> </span> </a> <a href="/task/relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000375-b085f22a.jpg"> <span>Relation Extraction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/revisiting-distant-supervision-for-relation" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/revisiting-distant-supervision-for-relation#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/eventwiki-a-knowledge-base-of-major-events"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/75263.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/eventwiki-a-knowledge-base-of-major-events">EventWiki: A Knowledge Base of Major Events</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/eventwiki-a-knowledge-base-of-major-events#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/lrec-2018-5"> LREC 2018 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/lei-cui">Lei Cui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> <a href="/task/semantic-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Semantic Parsing</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/eventwiki-a-knowledge-base-of-major-events" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/eventwiki-a-knowledge-base-of-major-events#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/table-to-text-generation-by-structure-aware"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0000004738-ba63a268.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/table-to-text-generation-by-structure-aware">Table-to-text Generation by Structure-aware Seq2seq Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/table-to-text-generation-by-structure-aware#code">3 code implementations</a> • <span class="author-name-text item-date-pub">27 Nov 2017</span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/kexiang-wang">Kexiang Wang</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In the decoding phase, dual attention mechanism which contains word level attention and field level attention is proposed to model the semantic relevance between the generated description and the table.</p> <div class="sota"> <p> <a href="/sota/table-to-text-generation-on-wikibio"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/table-to-text-generation-on-wikibio-small_500648de.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/table-to-text-generation-on-wikibio"> Table-to-Text Generation on WikiBio </a> </p> </div> <p> <a href="/task/table-to-text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/32c83b46-57c6-45ba-bf8b-a326dde08c5a.jpg"> <span>Table-to-Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 153</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/table-to-text-generation-by-structure-aware" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/table-to-text-generation-by-structure-aware#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/order-planning-neural-text-generation-from"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1709.00155.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/order-planning-neural-text-generation-from">Order-Planning Neural Text Generation From Structured Data</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/order-planning-neural-text-generation-from#code">1 code implementation</a> • <span class="author-name-text item-date-pub">1 Sep 2017</span> • <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/lili-mou">Lili Mou</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/pascal-poupart">Pascal Poupart</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Generating texts from structured data (e. g., a table) is important for various natural language processing tasks such as question answering and dialog systems.</p> <div class="sota"> </div> <p> <a href="/task/decoder"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decoder</span> </span> </a> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/order-planning-neural-text-generation-from#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg 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badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-soft-label-method-for-noise-tolerant"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/69709.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-soft-label-method-for-noise-tolerant">A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-soft-label-method-for-noise-tolerant#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2017-9"> EMNLP 2017 </a> </span> • <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/kexiang-wang">Kexiang Wang</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Distant-supervised relation extraction inevitably suffers from wrong labeling problems because it heuristically labels relational facts with knowledge bases.</p> <div class="sota"> </div> <p> <a href="/task/relation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Relation</span> </span> </a> <a href="/task/relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000375-b085f22a.jpg"> <span>Relation Extraction</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/a-soft-label-method-for-noise-tolerant#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-soft-label-method-for-noise-tolerant" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-soft-label-method-for-noise-tolerant#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/affinity-preserving-random-walk-for-multi"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/69540.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/affinity-preserving-random-walk-for-multi">Affinity-Preserving Random Walk for Multi-Document Summarization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/affinity-preserving-random-walk-for-multi#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2017-9"> EMNLP 2017 </a> </span> • <span class="author-span "> <a href="/author/kexiang-wang">Kexiang Wang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span> </p> <p class="item-strip-abstract">Multi-document summarization provides users with a short text that summarizes the information in a set of related documents.</p> <div class="sota"> </div> <p> <a href="/task/diversity"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Diversity</span> </span> </a> <a href="/task/document-summarization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Document Summarization</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/affinity-preserving-random-walk-for-multi#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/affinity-preserving-random-walk-for-multi" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/affinity-preserving-random-walk-for-multi#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-progressive-learning-approach-to-chinese"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/67368.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-progressive-learning-approach-to-chinese">A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-progressive-learning-approach-to-chinese#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2017-7"> ACL 2017 </a> </span> • <span class="author-span "> <a href="/author/qiaolin-xia">Qiaolin Xia</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">But the training data of single corpus is often limited.</p> <div class="sota"> </div> <p> <a href="/task/chinese-semantic-role-labeling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Chinese Semantic Role Labeling</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/a-progressive-learning-approach-to-chinese#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-progressive-learning-approach-to-chinese" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-progressive-learning-approach-to-chinese#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/improving-chinese-srl-with-heterogeneous"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/improving-chinese-srl-with-heterogeneous">Improving Chinese SRL with Heterogeneous Annotations</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/improving-chinese-srl-with-heterogeneous#code">no code implementations</a> • <span class="author-name-text item-date-pub">22 Feb 2017</span> • <span class="author-span "> <a href="/author/qiaolin-xia">Qiaolin Xia</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Previous studies on Chinese semantic role labeling (SRL) have concentrated on single semantically annotated corpus.</p> <div class="sota"> </div> <p> <a href="/task/chinese-semantic-role-labeling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Chinese Semantic Role Labeling</span> </span> </a> <a href="/task/semantic-role-labeling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000396-b5ac8e48.jpg"> <span>Semantic Role Labeling</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/improving-chinese-srl-with-heterogeneous" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/improving-chinese-srl-with-heterogeneous#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/event-detection-with-burst-information"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/74840.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/event-detection-with-burst-information">Event Detection with Burst Information Networks</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/event-detection-with-burst-information#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/coling-2016-12"> COLING 2016 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/lei-cui">Lei Cui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span> </p> <p class="item-strip-abstract">Retrospective event detection is an important task for discovering previously unidentified events in a text stream.</p> <div class="sota"> </div> <p> <a href="/task/clustering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001594-3ce5d6d8.jpg"> <span>Clustering</span> </span> </a> <a href="/task/event-detection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Event Detection</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/event-detection-with-burst-information" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/event-detection-with-burst-information#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/reading-and-thinking-re-read-lstm-unit-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/74801.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/reading-and-thinking-re-read-lstm-unit-for">Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/reading-and-thinking-re-read-lstm-unit-for#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/coling-2016-12"> COLING 2016 </a> </span> • <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span> </p> <p class="item-strip-abstract">After read the premise again, the model can get a better understanding of the premise, which can also affect the understanding of the hypothesis.</p> <div class="sota"> <p> <a href="/sota/natural-language-inference-on-snli"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/natural-language-inference-on-snli-small_ae84ece3.png"/> </a> Ranked #40 on <a href="/sota/natural-language-inference-on-snli"> Natural Language Inference on SNLI </a> </p> </div> <p> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/reading-and-thinking-re-read-lstm-unit-for#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/reading-and-thinking-re-read-lstm-unit-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/reading-and-thinking-re-read-lstm-unit-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-time-aware-knowledge-graph-completion"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/74692.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-time-aware-knowledge-graph-completion">Towards Time-Aware Knowledge Graph Completion</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-time-aware-knowledge-graph-completion#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/coling-2016-12"> COLING 2016 </a> </span> • <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">In this paper, we present a novel time-aware knowledge graph completion model that is able to predict links in a KG using both the existing facts and the temporal information of the facts.</p> <div class="sota"> </div> <p> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> <a href="/task/relation-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000375-b085f22a.jpg"> <span>Relation Extraction</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/towards-time-aware-knowledge-graph-completion#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-time-aware-knowledge-graph-completion" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-time-aware-knowledge-graph-completion#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/encoding-temporal-information-for-time-aware"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/70126.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/encoding-temporal-information-for-time-aware">Encoding Temporal Information for Time-Aware Link Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/encoding-temporal-information-for-time-aware#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2016-11"> EMNLP 2016 </a> </span> • <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/link-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000031-326cd034.jpg"> <span>Link Prediction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/encoding-temporal-information-for-time-aware" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/encoding-temporal-information-for-time-aware#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/capturing-argument-relationship-for-chinese"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/70078.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/capturing-argument-relationship-for-chinese">Capturing Argument Relationship for Chinese Semantic Role Labeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/capturing-argument-relationship-for-chinese#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2016-11"> EMNLP 2016 </a> </span> • <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/chinese-semantic-role-labeling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Chinese Semantic Role Labeling</span> </span> </a> <a href="/task/semantic-role-labeling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000396-b5ac8e48.jpg"> <span>Semantic Role Labeling</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/capturing-argument-relationship-for-chinese" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/capturing-argument-relationship-for-chinese#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/news-stream-summarization-using-burst"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/69941.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/news-stream-summarization-using-burst">News Stream Summarization using Burst Information Networks</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/news-stream-summarization-using-burst#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2016-11"> EMNLP 2016 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/lei-cui">Lei Cui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/document-summarization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Document Summarization</span> </span> </a> <a href="/task/multi-document-summarization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multi-Document Summarization</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/news-stream-summarization-using-burst" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/news-stream-summarization-using-burst#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/aligning-coordinated-text-streams-through"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1609.08237.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/aligning-coordinated-text-streams-through">Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/aligning-coordinated-text-streams-through#code">no code implementations</a> • <span class="author-name-text item-date-pub">27 Sep 2016</span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/qing-dou">Qing Dou</a></span>, <span class="author-span "> <a href="/author/xiaoman-pan">Xiaoman Pan</a></span>, <span class="author-span "> <a href="/author/heng-ji">Heng Ji</a></span>, <span class="author-span "> <a href="/author/lei-cui">Lei Cui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span> </p> <p class="item-strip-abstract">We introduce a novel Burst Information Network (BINet) representation that can display the most important information and illustrate the connections among bursty entities, events and keywords in the corpus.</p> <div class="sota"> </div> <p> <a href="/task/decipherment"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decipherment</span> </span> </a> <a href="/task/translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Translation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/aligning-coordinated-text-streams-through" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/aligning-coordinated-text-streams-through#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/rbpb-regularization-based-pattern-balancing"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/67652.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/rbpb-regularization-based-pattern-balancing">RBPB: Regularization-Based Pattern Balancing Method for Event Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rbpb-regularization-based-pattern-balancing#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2016-8"> ACL 2016 </a> </span> • <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/jing-liu">Jing Liu</a></span>, <span class="author-span "> <a href="/author/chin-yew-lin">Chin-Yew Lin</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/dependency-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Dependency Parsing</span> </span> </a> <a href="/task/event-extraction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Event Extraction</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/rbpb-regularization-based-pattern-balancing#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/rbpb-regularization-based-pattern-balancing" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/rbpb-regularization-based-pattern-balancing#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/implicit-discourse-relation-classification"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1603.02776.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/implicit-discourse-relation-classification">Implicit Discourse Relation Classification via Multi-Task Neural Networks</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/implicit-discourse-relation-classification#code">no code implementations</a> • <span class="author-name-text item-date-pub">9 Mar 2016</span> • <span class="author-span "> <a href="/author/yang-liu">Yang Liu</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/xiaodong-zhang">Xiaodong Zhang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser.</p> <div class="sota"> </div> <p> <a href="/task/classification-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/d0eafcb3-1a12-430b-8bb5-6f6bbff1a4b3.jpg"> <span>Classification</span> </span> </a> <a href="/task/classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001592-811f0118_3TU7fCb.jpg"> <span>General Classification</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/implicit-discourse-relation-classification#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/implicit-discourse-relation-classification" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/implicit-discourse-relation-classification#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/joint-learning-templates-and-slots-for-event"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1603.01333.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/joint-learning-templates-and-slots-for-event">Joint Learning Templates and Slots for Event Schema Induction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/joint-learning-templates-and-slots-for-event#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/naacl-2016-6"> NAACL 2016 </a> </span> • <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Automatic event schema induction (AESI) means to extract meta-event from raw text, in other words, to find out what types (templates) of event may exist in the raw text and what roles (slots) may exist in each event type.</p> <div class="sota"> </div> <p> <a href="/task/image-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image Segmentation</span> </span> </a> <a href="/task/semantic-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/0d834282-fd21-4e57-be69-d5c2ed538690.jpg"> <span>Semantic Segmentation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/joint-learning-templates-and-slots-for-event#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/joint-learning-templates-and-slots-for-event" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/joint-learning-templates-and-slots-for-event#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/recognizing-textual-entailment-using"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/96815.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/recognizing-textual-entailment-using">Recognizing Textual Entailment Using Probabilistic Inference</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/recognizing-textual-entailment-using#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2015-9"> EMNLP 2015 </a> </span> • <span class="author-span "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> <a href="/task/natural-language-inference"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000263-d118c799.jpg"> <span>Natural Language Inference</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/recognizing-textual-entailment-using#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/recognizing-textual-entailment-using" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/recognizing-textual-entailment-using#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/ersom-a-structural-ontology-matching-approach"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/96919.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/ersom-a-structural-ontology-matching-approach">ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/ersom-a-structural-ontology-matching-approach#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2015-9"> EMNLP 2015 </a> </span> • <span class="author-span "> <a href="/author/chuncheng-xiang">Chuncheng Xiang</a></span>, <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/coreference-resolution"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Coreference Resolution</span> </span> </a> <a href="/task/ontology-matching"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Ontology Matching</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/ersom-a-structural-ontology-matching-approach#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/ersom-a-structural-ontology-matching-approach" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/ersom-a-structural-ontology-matching-approach#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/chinese-semantic-role-labeling-with"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/96816.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/chinese-semantic-role-labeling-with">Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/chinese-semantic-role-labeling-with#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2015-9"> EMNLP 2015 </a> </span> • <span class="author-span "> <a href="/author/zhen-wang">Zhen Wang</a></span>, <span class="author-span "> <a href="/author/tingsong-jiang">Tingsong Jiang</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/chinese-semantic-role-labeling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Chinese Semantic Role Labeling</span> </span> </a> <a href="/task/feature-engineering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Feature Engineering</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/chinese-semantic-role-labeling-with#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/chinese-semantic-role-labeling-with" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/chinese-semantic-role-labeling-with#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/one-tense-per-scene-predicting-tense-in"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/94034.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/one-tense-per-scene-predicting-tense-in">One Tense per Scene: Predicting Tense in Chinese Conversations</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/one-tense-per-scene-predicting-tense-in#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ijcnlp-2015-7"> IJCNLP 2015 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/heng-ji">Heng Ji</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/one-tense-per-scene-predicting-tense-in" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/one-tense-per-scene-predicting-tense-in#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/bring-you-to-the-past-automatic-generation-of"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/93805.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/bring-you-to-the-past-automatic-generation-of">Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/bring-you-to-the-past-automatic-generation-of#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ijcnlp-2015-7"> IJCNLP 2015 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/wenzhe-pei">Wenzhe Pei</a></span>, <span class="author-span "> <a href="/author/heng-ji">Heng Ji</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/learning-to-rank"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Learning-To-Rank</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/bring-you-to-the-past-automatic-generation-of" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/bring-you-to-the-past-automatic-generation-of#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/the-cips-sighan-clp-2014-chinese-word"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/135043.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/the-cips-sighan-clp-2014-chinese-word">The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/the-cips-sighan-clp-2014-chinese-word#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ws-2014-10"> WS 2014 </a> </span> • <span class="author-span "> <a href="/author/huiming-duan">Huiming Duan</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/chinese-word-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Chinese Word Segmentation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/the-cips-sighan-clp-2014-chinese-word" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/the-cips-sighan-clp-2014-chinese-word#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/the-construction-of-language-resource-and"> <div class="item-image" style="background-image: 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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/the-construction-of-language-resource-and">The Construction of language Resource and Knowledge Base for Chinese Language Computing</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/the-construction-of-language-resource-and#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ws-2014-10"> WS 2014 </a> </span> • <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/the-construction-of-language-resource-and" class="badge badge-light "> <span 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href="/paper/event-based-time-label-propagation-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/97171.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/event-based-time-label-propagation-for">Event-Based Time Label Propagation for Automatic Dating of News Articles</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/event-based-time-label-propagation-for#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2013-10"> EMNLP 2013 </a> </span> • <span class="author-span "> <a href="/author/tao-ge">Tao Ge</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/sujian-li">Sujian Li</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/event-based-time-label-propagation-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path 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</a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-accurate-distant-supervision-for">Towards Accurate Distant Supervision for Relational Facts Extraction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-accurate-distant-supervision-for#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2013-8"> ACL 2013 </a> </span> • <span class="author-span "> <a href="/author/xingxing-zhang">Xingxing Zhang</a></span>, <span class="author-span "> <a href="/author/jianwen-zhang">Jianwen Zhang</a></span>, <span class="author-span "> <a href="/author/junyu-zeng">Junyu Zeng</a></span>, <span class="author-span "> <a href="/author/jun-yan">Jun Yan</a></span>, <span class="author-span "> <a href="/author/zheng-chen">Zheng Chen</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-accurate-distant-supervision-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-accurate-distant-supervision-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/the-cips-sighan-clp-2012-chineseword"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/101612.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/the-cips-sighan-clp-2012-chineseword">The CIPS-SIGHAN CLP 2012 ChineseWord Segmentation onMicroBlog Corpora Bakeoff</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/the-cips-sighan-clp-2012-chineseword#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ws-2012-12"> WS 2012 </a> </span> • <span class="author-span "> <a href="/author/huiming-duan">Huiming Duan</a></span>, <span class="author-span author-matched"> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/ye-tian">Ye Tian</a></span>, <span class="author-span "> <a href="/author/wenjie-li">Wenjie Li</a></span> </p> <p class="item-strip-abstract"></p> <div class="sota"> </div> <p> <a href="/task/chinese-word-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Chinese Word Segmentation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/the-cips-sighan-clp-2012-chineseword" class="badge badge-light "> <span class=" 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