Lei Sha | Papers With Code

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12v341.4l155.1-155.1c4.701-4.7 12.302-4.7 17 0z"/></svg></span> </a> </div> </div> </div> </div> <div class="infinite-container text-center"> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/gradient-guided-unsupervised-lexically"> <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/gradient-guided-unsupervised-lexically">Gradient-guided Unsupervised Lexically Constrained Text Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/gradient-guided-unsupervised-lexically#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2020-11"> EMNLP 2020 </a> </span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span> </p> <p class="item-strip-abstract">Previous works usually apply beam-search-based methods or stochastic searching methods to lexically-constrained generation.</p> <div class="sota"> </div> <p> <a href="/task/paraphrase-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Paraphrase Generation</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> </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/gradient-guided-unsupervised-lexically" 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/gradient-guided-unsupervised-lexically#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/derail-yourself-multi-turn-llm-jailbreak"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/0ee83d2a-8964-411a-a3f9-36f61630c039.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/derail-yourself-multi-turn-llm-jailbreak">Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/derail-yourself-multi-turn-llm-jailbreak#code">1 code implementation</a> • <span class="author-name-text item-date-pub">14 Oct 2024</span> • <span class="author-span "> <a href="/author/qibing-ren">Qibing Ren</a></span>, <span class="author-span "> <a href="/author/hao-li">Hao Li</a></span>, <span class="author-span "> <a href="/author/dongrui-liu">Dongrui Liu</a></span>, <span class="author-span "> <a href="/author/zhanxu-xie">Zhanxu Xie</a></span>, <span class="author-span "> <a href="/author/xiaoya-lu">Xiaoya Lu</a></span>, <span class="author-span "> <a href="/author/yu-qiao">Yu Qiao</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/junchi-yan">Junchi Yan</a></span>, <span class="author-span "> <a href="/author/lizhuang-ma">Lizhuang Ma</a></span>, <span class="author-span "> <a href="/author/jing-shao">Jing Shao</a></span> </p> <p class="item-strip-abstract">This study exposes the safety vulnerabilities of Large Language Models (LLMs) in multi-turn interactions, where malicious users can obscure harmful intents across several queries.</p> <div class="sota"> </div> <p> <a href="/task/llm-jailbreak"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>LLM Jailbreak</span> </span> </a> <a href="/task/safety-alignment"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Safety Alignment</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> 55</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/derail-yourself-multi-turn-llm-jailbreak" 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/derail-yourself-multi-turn-llm-jailbreak#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 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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/blackdan-a-black-box-multi-objective-approach">BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/blackdan-a-black-box-multi-objective-approach#code">no code implementations</a> • <span class="author-name-text item-date-pub">13 Oct 2024</span> • <span class="author-span "> <a href="/author/xinyuan-wang">Xinyuan Wang</a></span>, <span class="author-span "> <a href="/author/victor-shea-jay-huang">Victor Shea-Jay Huang</a></span>, <span class="author-span "> <a href="/author/renmiao-chen">Renmiao Chen</a></span>, <span class="author-span "> <a href="/author/hao-wang">Hao Wang</a></span>, <span class="author-span "> <a href="/author/chengwei-pan">Chengwei Pan</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/minlie-huang">Minlie Huang</a></span> </p> <p class="item-strip-abstract">Existing jailbreak strategies mainly focus on maximizing attack success rate (ASR), frequently neglecting other critical factors, including the relevance of the jailbreak response to the query and the level of stealthiness.</p> <div class="sota"> </div> <p> <a href="/task/evolutionary-algorithms"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Evolutionary Algorithms</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/blackdan-a-black-box-multi-objective-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/blackdan-a-black-box-multi-objective-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/omni-math-a-universal-olympiad-level"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/1dfe8397-989b-47a6-aa1c-4629afd77d80.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/omni-math-a-universal-olympiad-level">Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/omni-math-a-universal-olympiad-level#code">1 code implementation</a> • <span class="author-name-text item-date-pub">10 Oct 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/zhe-yang">Zhe Yang</a></span>, <span class="author-span "> <a href="/author/zefan-cai">Zefan Cai</a></span>, <span class="author-span "> <a href="/author/yibo-miao">Yibo Miao</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/chenghao-ma">Chenghao Ma</a></span>, <span class="author-span "> <a href="/author/liang-chen">Liang Chen</a></span>, <span class="author-span "> <a href="/author/runxin-xu">Runxin Xu</a></span>, <span class="author-span "> <a href="/author/zhengyang-tang">Zhengyang Tang</a></span>, <span class="author-span "> <a href="/author/benyou-wang">Benyou Wang</a></span>, <span class="author-span "> <a href="/author/daoguang-zan">Daoguang Zan</a></span>, <span class="author-span "> <a href="/author/shanghaoran-quan">Shanghaoran Quan</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</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">However, existing benchmarks like GSM8K or MATH are now being solved with high accuracy (e. g., OpenAI o1 achieves 94. 8% on MATH dataset), indicating their inadequacy for truly challenging these models.</p> <div class="sota"> </div> <p> <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 href="/task/math"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Math</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/omni-math-a-universal-olympiad-level#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> 52</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/omni-math-a-universal-olympiad-level" 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/omni-math-a-universal-olympiad-level#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 author-matched"> <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 "> <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/hsf-defending-against-jailbreak-attacks-with"> <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/hsf-defending-against-jailbreak-attacks-with">HSF: Defending against Jailbreak Attacks with Hidden State Filtering</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hsf-defending-against-jailbreak-attacks-with#code">no code implementations</a> • <span class="author-name-text item-date-pub">31 Aug 2024</span> • <span class="author-span "> <a href="/author/cheng-qian">Cheng Qian</a></span>, <span class="author-span "> <a href="/author/hainan-zhang">Hainan Zhang</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/zhiming-zheng">Zhiming Zheng</a></span> </p> <p class="item-strip-abstract">With the growing deployment of LLMs in daily applications like chatbots and content generation, efforts to ensure outputs align with human values and avoid harmful content have intensified.</p> <div class="sota"> </div> <p> <a href="/task/llm-jailbreak"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>LLM Jailbreak</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/hsf-defending-against-jailbreak-attacks-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/hsf-defending-against-jailbreak-attacks-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/atm-adversarial-tuning-multi-agent-system"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/2891a35f-359c-49ff-96f6-7982ac7fd239.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/atm-adversarial-tuning-multi-agent-system">ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/atm-adversarial-tuning-multi-agent-system#code">1 code implementation</a> • <span class="author-name-text item-date-pub">28 May 2024</span> • <span class="author-span "> <a href="/author/junda-zhu">Junda Zhu</a></span>, <span class="author-span "> <a href="/author/lingyong-yan">Lingyong Yan</a></span>, <span class="author-span "> <a href="/author/haibo-shi">Haibo Shi</a></span>, <span class="author-span "> <a href="/author/dawei-yin">Dawei Yin</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span> </p> <p class="item-strip-abstract">Large language models (LLMs) are proven to benefit a lot from retrieval-augmented generation (RAG) in alleviating hallucinations confronted with knowledge-intensive questions.</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/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 style="position: relative; top: -2px;" href="/paper/atm-adversarial-tuning-multi-agent-system#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> 4</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/atm-adversarial-tuning-multi-agent-system" 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/atm-adversarial-tuning-multi-agent-system#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-multi-view-insights-in-knowledge"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2404.12879.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-multi-view-insights-in-knowledge">Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/unlocking-multi-view-insights-in-knowledge#code">no code implementations</a> • <span class="author-name-text item-date-pub">19 Apr 2024</span> • <span class="author-span "> <a href="/author/guanhua-chen">Guanhua Chen</a></span>, <span class="author-span "> <a href="/author/wenhan-yu">Wenhan Yu</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span> </p> <p class="item-strip-abstract">While Retrieval-Augmented Generation (RAG) plays a crucial role in the application of Large Language Models (LLMs), existing retrieval methods in knowledge-dense domains like law and medicine still suffer from a lack of multi-perspective views, which are essential for improving interpretability and reliability.</p> <div class="sota"> </div> <p> <a href="/task/rag"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2554a77c-c5ba-475b-bfba-b70a2b41a551.jpg"> <span>RAG</span> </span> </a> <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/unlocking-multi-view-insights-in-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/unlocking-multi-view-insights-in-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/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 author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <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/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 author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <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/from-noise-to-clarity-unraveling-the"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2402.16006.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/from-noise-to-clarity-unraveling-the">ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/from-noise-to-clarity-unraveling-the#code">no code implementations</a> • <span class="author-name-text item-date-pub">25 Feb 2024</span> • <span class="author-span "> <a href="/author/hao-wang">Hao Wang</a></span>, <span class="author-span "> <a href="/author/hao-li">Hao Li</a></span>, <span class="author-span "> <a href="/author/minlie-huang">Minlie Huang</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span> </p> <p class="item-strip-abstract">In addition, our approach can be generalized into a broader method for generating transferable adversarial suffixes that can successfully attack multiple LLMs, even black-box LLMs, such as ChatGPT and Gemini.</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" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/from-noise-to-clarity-unraveling-the" 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/from-noise-to-clarity-unraveling-the#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/harnessing-the-plug-and-play-controller-by"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2402.04160.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/harnessing-the-plug-and-play-controller-by">Harnessing the Plug-and-Play Controller by Prompting</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/harnessing-the-plug-and-play-controller-by#code">no code implementations</a> • <span class="author-name-text item-date-pub">6 Feb 2024</span> • <span class="author-span "> <a href="/author/hao-wang">Hao Wang</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span> </p> <p class="item-strip-abstract">The proposed approach aims to enhance the fluency of generated text by guiding the generation process with PPCs.</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/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 style="position: relative; top: -2px;" href="/paper/harnessing-the-plug-and-play-controller-by#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/harnessing-the-plug-and-play-controller-by" 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/harnessing-the-plug-and-play-controller-by#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/text-attribute-control-via-closed-loop"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2312.00277.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/text-attribute-control-via-closed-loop">Text Attribute Control via Closed-Loop Disentanglement</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/text-attribute-control-via-closed-loop#code">no code implementations</a> • <span class="author-name-text item-date-pub">1 Dec 2023</span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">In this approach, we use a semi-supervised contrastive learning method to encourage the disentanglement of attributes in latent spaces.</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/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/text-attribute-control-via-closed-loop#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/text-attribute-control-via-closed-loop" 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/text-attribute-control-via-closed-loop#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/rationalizing-predictions-by-adversarial"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2301.06009.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/rationalizing-predictions-by-adversarial">Rationalizing Predictions by Adversarial Information Calibration</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rationalizing-predictions-by-adversarial#code">no code implementations</a> • <span class="author-name-text item-date-pub">15 Jan 2023</span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/oana-maria-camburu">Oana-Maria Camburu</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">One form of explanation for a prediction is an extractive rationale, i. e., a subset of features of an instance that lead the model to give its prediction on that instance.</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/sentiment-analysis"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000572-0dbd89c3.jpg"> <span>Sentiment Analysis</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/rationalizing-predictions-by-adversarial#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/rationalizing-predictions-by-adversarial" 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/rationalizing-predictions-by-adversarial#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/2212-00720"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2212.00720.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/2212-00720">A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/2212-00720#code">no code implementations</a> • <span class="author-name-text item-date-pub">16 Nov 2022</span> • <span class="author-span "> <a href="/author/tommaso-salvatori">Tommaso Salvatori</a></span>, <span class="author-span "> <a href="/author/yuhang-song">Yuhang Song</a></span>, <span class="author-span "> <a href="/author/yordan-yordanov">Yordan Yordanov</a></span>, <span class="author-span "> <a href="/author/beren-millidge">Beren Millidge</a></span>, <span class="author-span "> <a href="/author/zhenghua-xu">Zhenghua Xu</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/cornelius-emde">Cornelius Emde</a></span>, <span class="author-span "> <a href="/author/rafal-bogacz">Rafal Bogacz</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">Predictive coding networks are neuroscience-inspired models with roots in both Bayesian statistics and neuroscience.</p> <div class="sota"> </div> <p> <a href="/task/distributed-computing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Distributed Computing</span> </span> </a> <a href="/task/image-classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/7a146e71-bbf8-4137-bf25-a3618bd043a0.jpg"> <span>Image Classification</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/2212-00720#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/2212-00720" 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/2212-00720#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/bird-eye-transformers-for-text-generation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2210.03985.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/bird-eye-transformers-for-text-generation">Bird-Eye Transformers for Text Generation Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/bird-eye-transformers-for-text-generation#code">1 code implementation</a> • <span class="author-name-text item-date-pub">8 Oct 2022</span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/yuhang-song">Yuhang Song</a></span>, <span class="author-span "> <a href="/author/yordan-yordanov">Yordan Yordanov</a></span>, <span class="author-span "> <a href="/author/tommaso-salvatori">Tommaso Salvatori</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">Transformers have become an indispensable module for text generation models since their great success in machine translation.</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/inductive-bias"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Inductive Bias</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/bird-eye-transformers-for-text-generation#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> 1,732</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/bird-eye-transformers-for-text-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/bird-eye-transformers-for-text-generation#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/small-changes-make-big-differences-improving"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2111.10154.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/small-changes-make-big-differences-improving">Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/small-changes-make-big-differences-improving#code">no code implementations</a> • <span class="author-name-text item-date-pub">19 Nov 2021</span> • <span class="author-span "> <a href="/author/yuntao-li">Yuntao Li</a></span>, <span class="author-span "> <a href="/author/can-xu">Can Xu</a></span>, <span class="author-span "> <a href="/author/huang-hu">Huang Hu</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/yan-zhang">Yan Zhang</a></span>, <span class="author-span "> <a href="/author/daxin-jiang">Daxin Jiang</a></span> </p> <p class="item-strip-abstract">The sequence representation plays a key role in the learning of matching degree between the dialogue context and the response.</p> <div class="sota"> <p> <a href="/sota/conversational-response-selection-on-ubuntu-1"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/conversational-response-selection-on-ubuntu-1-small_4f137f20.png"/> </a> Ranked #5 on <a href="/sota/conversational-response-selection-on-ubuntu-1"> Conversational Response Selection on Ubuntu Dialogue (v1, Ranking) </a> </p> </div> <p> <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 href="/task/conversational-response-selection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Conversational Response Selection</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/small-changes-make-big-differences-improving" 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/small-changes-make-big-differences-improving#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/rationale-production-to-support-clinical"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2111.07611.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/rationale-production-to-support-clinical">Rationale production to support clinical decision-making</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rationale-production-to-support-clinical#code">no code implementations</a> • <span class="author-name-text item-date-pub">15 Nov 2021</span> • <span class="author-span "> <a href="/author/niall-taylor">Niall Taylor</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/dan-w-joyce">Dan W Joyce</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span>, <span class="author-span "> <a href="/author/alejo-nevado-holgado">Alejo Nevado-Holgado</a></span>, <span class="author-span "> <a href="/author/andrey-kormilitzin">Andrey Kormilitzin</a></span> </p> <p class="item-strip-abstract">In this work, we apply InfoCal, the current state-of-the-art model that produces extractive rationales for its predictions, to the task of predicting hospital readmission using hospital discharge notes.</p> <div class="sota"> </div> <p> <a href="/task/decision-making"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Decision Making</span> </span> </a> <a href="/task/feature-importance"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Feature Importance</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/rationale-production-to-support-clinical" 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/rationale-production-to-support-clinical#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/finetuning-large-scale-pre-trained-language"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2110.07477.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/finetuning-large-scale-pre-trained-language">RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/finetuning-large-scale-pre-trained-language#code">no code implementations</a> • <span class="author-name-text item-date-pub">14 Oct 2021</span> • <span class="author-span "> <a href="/author/lingzhi-wang">Lingzhi Wang</a></span>, <span class="author-span "> <a href="/author/huang-hu">Huang Hu</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/can-xu">Can Xu</a></span>, <span class="author-span "> <a href="/author/kam-fai-wong">Kam-Fai Wong</a></span>, <span class="author-span "> <a href="/author/daxin-jiang">Daxin Jiang</a></span> </p> <p class="item-strip-abstract">Furthermore, we propose to evaluate the CRS models in an end-to-end manner, which can reflect the overall performance of the entire system rather than the performance of individual modules, compared to the separate evaluations of the two modules used in previous work.</p> <div class="sota"> </div> <p> <a href="/task/conversational-recommendation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Conversational Recommendation</span> </span> </a> <a href="/task/dialogue-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/ad745387-1dbb-4f42-a482-5ebd1f80e5ac.jpg"> <span>Dialogue Generation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/finetuning-large-scale-pre-trained-language#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/finetuning-large-scale-pre-trained-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/finetuning-large-scale-pre-trained-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/unifying-categorical-models-by-explicit"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/884345.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/unifying-categorical-models-by-explicit">Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/unifying-categorical-models-by-explicit#code">no code implementations</a> • <span class="author-name-text item-date-pub">29 Sep 2021</span> • <span class="author-span "> <a href="/author/luca-pinchetti">Luca Pinchetti</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">By doing so, it is possible to merge multiple datasets based on different categorical models by projecting the data points into a unified latent space.</p> <div class="sota"> </div> <p> <a href="/task/disentanglement"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Disentanglement</span> </span> </a> <a href="/task/emotion-recognition"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Emotion Recognition</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/unifying-categorical-models-by-explicit" 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/unifying-categorical-models-by-explicit#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/associative-memories-via-predictive-coding"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2109.08063.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/associative-memories-via-predictive-coding">Associative Memories via Predictive Coding</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/associative-memories-via-predictive-coding#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/neurips-2021-12"> NeurIPS 2021 </a> </span> • <span class="author-span "> <a href="/author/tommaso-salvatori">Tommaso Salvatori</a></span>, <span class="author-span "> <a href="/author/yuhang-song">Yuhang Song</a></span>, <span class="author-span "> <a href="/author/yujian-hong">Yujian Hong</a></span>, <span class="author-span "> <a href="/author/simon-frieder">Simon Frieder</a></span>, <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/zhenghua-xu">Zhenghua Xu</a></span>, <span class="author-span "> <a href="/author/rafal-bogacz">Rafal Bogacz</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">We conclude by discussing the possible impact of this work in the neuroscience community, by showing that our model provides a plausible framework to study learning and retrieval of memories in the brain, as it closely mimics the behavior of the hippocampus as a memory index and generative model.</p> <div class="sota"> </div> <p> <a href="/task/hippocampus"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Hippocampus</span> </span> </a> <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/associative-memories-via-predictive-coding" 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/associative-memories-via-predictive-coding#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/controlling-text-edition-by-changing-answers"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2105.11018.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/controlling-text-edition-by-changing-answers">Controlling Text Edition by Changing Answers of Specific Questions</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/controlling-text-edition-by-changing-answers#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/findings-acl-2021-8"> Findings (ACL) 2021 </a> </span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/patrick-hohenecker">Patrick Hohenecker</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">Experimental results on the test set show that our proposed method is a good fit for this novel NLP task.</p> <div class="sota"> </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> 0</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/controlling-text-edition-by-changing-answers" 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/controlling-text-edition-by-changing-answers#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-from-the-best-rationalizing"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2012.08884.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-from-the-best-rationalizing">Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learning-from-the-best-rationalizing#code">no code implementations</a> • <span class="author-name-text item-date-pub">16 Dec 2020</span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/oana-maria-camburu">Oana-Maria Camburu</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">We use an adversarial-based technique to calibrate the information extracted by the two models such that the difference between them is an indicator of the missed or over-selected features.</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/sentiment-analysis"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000572-0dbd89c3.jpg"> <span>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" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learning-from-the-best-rationalizing" 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-from-the-best-rationalizing#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-type-disentanglement-without"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2012.08883.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-type-disentanglement-without">Multi-type Disentanglement without Adversarial Training</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/multi-type-disentanglement-without#code">no code implementations</a> • <span class="author-name-text item-date-pub">16 Dec 2020</span> • <span class="author-span author-matched"> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span "> <a href="/author/thomas-lukasiewicz">Thomas Lukasiewicz</a></span> </p> <p class="item-strip-abstract">After the latent space is disentangled, the style of a sentence can be transformed by tuning the style representation without affecting other features of the sentence.</p> <div class="sota"> </div> <p> <a href="/task/disentanglement"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Disentanglement</span> </span> </a> <a href="/task/interpretable-machine-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Interpretable Machine Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/multi-type-disentanglement-without#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/multi-type-disentanglement-without" 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-type-disentanglement-without#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/auto-dialabel-labeling-dialogue-data-with"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/65940.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/auto-dialabel-labeling-dialogue-data-with">Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/auto-dialabel-labeling-dialogue-data-with#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/chen-shi">Chen Shi</a></span>, <span class="author-span "> <a href="/author/qi-chen">Qi Chen</a></span>, <span class="author-span author-matched"> <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 "> Xu Sun</span>, <span class="author-span "> <a href="/author/houfeng-wang">Houfeng Wang</a></span>, <span class="author-span "> <a href="/author/lintao-zhang">Lintao Zhang</a></span> </p> <p class="item-strip-abstract">The lack of labeled data is one of the main challenges when building a task-oriented dialogue system.</p> <div class="sota"> </div> <p> <a href="/task/active-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Active Learning</span> </span> </a> <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> </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/auto-dialabel-labeling-dialogue-data-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/auto-dialabel-labeling-dialogue-data-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/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 author-matched"> <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/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 author-matched"> <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 "> <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 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/order-planning-neural-text-generation-from" 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/order-planning-neural-text-generation-from#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/syntax-aware-lstm-model-for-semantic-role"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/72225.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/syntax-aware-lstm-model-for-semantic-role">Syntax Aware LSTM model for Semantic Role Labeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/syntax-aware-lstm-model-for-semantic-role#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ws-2017-9"> WS 2017 </a> </span> • <span class="author-span "> <a href="/author/feng-qian">Feng Qian</a></span>, <span class="author-span author-matched"> <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/lu-chen-liu">Lu-chen Liu</a></span>, <span class="author-span "> <a href="/author/ming-zhang">Ming Zhang</a></span> </p> <p class="item-strip-abstract">In Semantic Role Labeling (SRL) task, the tree structured dependency relation is rich in syntax information, but it is not well handled by existing models.</p> <div class="sota"> </div> <p> <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 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/syntax-aware-lstm-model-for-semantic-role#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/syntax-aware-lstm-model-for-semantic-role" 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/syntax-aware-lstm-model-for-semantic-role#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 author-matched"> <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/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/syntax-aware-lstm-model-for-chinese-semantic"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1704.00405.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/syntax-aware-lstm-model-for-chinese-semantic">Syntax Aware LSTM Model for Chinese Semantic Role Labeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/syntax-aware-lstm-model-for-chinese-semantic#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Apr 2017</span> • <span class="author-span "> <a href="/author/feng-qian">Feng Qian</a></span>, <span class="author-span author-matched"> <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/lu-chen-liu">Lu-chen Liu</a></span>, <span class="author-span "> <a href="/author/ming-zhang">Ming Zhang</a></span> </p> <p class="item-strip-abstract">As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the feature engineering way.</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/dependency-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Dependency Parsing</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/syntax-aware-lstm-model-for-chinese-semantic#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/syntax-aware-lstm-model-for-chinese-semantic" 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/syntax-aware-lstm-model-for-chinese-semantic#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 author-matched"> <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 "> <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/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 author-matched"> <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/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/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 author-matched"> <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 "> <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 author-matched"> <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 "> <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/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 author-matched"> <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 "> <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/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 author-matched"> <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 "> <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 author-matched"> <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 "> <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 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