Yichang Zhang | Papers With Code

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aria-haspopup="true" aria-expanded="false"> Date Published <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="chevron-down"><svg viewBox="0 0 448 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M441.9 168.28c4.7 4.7 4.7 12.3 0 17l-209.4 209.4c-4.7 4.7-12.3 4.7-17 0L6.1 185.28c-4.7-4.7-4.7-12.3 0-17l19.8-19.8c4.7-4.7 12.3-4.7 17 0L224 329.18l181.1-180.7c4.701-4.7 12.302-4.7 17 0z"/></svg></span> </button> <div class="dropdown-menu" aria-labelledby="btnGroupDrop1"> <a class="dropdown-item" href="?q=author%3AYichang+Zhang&order_by=date">Date Published</a> <a class="dropdown-item" href="?q=author%3AYichang+Zhang&order_by=stars">Github Stars</a> </div> </div> <a href="?q=author%3AYichang+Zhang&order=asc" type="button" class="btn btn-outline-secondary"> <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="arrow-down"><svg viewBox="0 0 448 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M441.9 251.08c4.7 4.7 4.7 12.3 0 17l-209.4 209.4c-4.7 4.7-12.3 4.7-17 0L6.1 268.08c-4.7-4.7-4.7-12.3 0-17l19.8-19.8c4.7-4.7 12.3-4.7 17 0L198 386.38V44.98c0-6.599 5.401-12 12-12h28c6.6 0 12 5.401 12 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/language-models-can-self-lengthen-to-generate"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/9442a172-0409-4674-9e59-2892fa4ca387.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/language-models-can-self-lengthen-to-generate">Language Models can Self-Lengthen to Generate Long Texts</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/language-models-can-self-lengthen-to-generate#code">1 code implementation</a> • <span class="author-name-text item-date-pub">31 Oct 2024</span> • <span class="author-span "> <a href="/author/shanghaoran-quan">Shanghaoran Quan</a></span>, <span class="author-span "> <a href="/author/tianyi-tang">Tianyi Tang</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/bofei-gao">Bofei Gao</a></span>, <span class="author-span "> <a href="/author/jianhong-tu">Jianhong Tu</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span> </p> <p class="item-strip-abstract">The framework consists of two roles: the Generator and the Extender.</p> <div class="sota"> </div> <p> <a href="/task/text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2a04ff75-1032-4f9f-911b-f7198faeb6f5.jpg"> <span>Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 62</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/language-models-can-self-lengthen-to-generate" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/language-models-can-self-lengthen-to-generate#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/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 "> <a href="/author/lei-sha">Lei Sha</a></span>, <span class="author-span author-matched"> <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/qwen2-5-coder-technical-report"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/168ff264-e8a6-44a9-8faa-7be377dc2677.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/qwen2-5-coder-technical-report">Qwen2.5-Coder Technical Report</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/qwen2-5-coder-technical-report#code">2 code implementations</a> • <span class="author-name-text item-date-pub">18 Sep 2024</span> • <span class="author-span "> <a href="/author/binyuan-hui">Binyuan Hui</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/jiaxi-yang">Jiaxi Yang</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/lei-zhang">Lei Zhang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/jiajun-zhang">Jiajun Zhang</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/keming-lu">Keming Lu</a></span>, <span class="author-span "> <a href="/author/kai-dang">Kai Dang</a></span>, <span class="author-span "> <a href="/author/yang-fan">Yang Fan</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/fei-huang">Fei Huang</a></span>, <span class="author-span "> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/yibo-miao">Yibo Miao</a></span>, <span class="author-span "> <a href="/author/shanghaoran-quan">Shanghaoran Quan</a></span>, <span class="author-span "> <a href="/author/yunlong-feng">Yunlong Feng</a></span>, <span class="author-span "> <a href="/author/xingzhang-ren">Xingzhang Ren</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span> </p> <p class="item-strip-abstract">In this report, we introduce the Qwen2. 5-Coder series, a significant upgrade from its predecessor, CodeQwen1. 5.</p> <div class="sota"> </div> <p> <a href="/task/task"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span></span> </span> </a> <a href="/task/code-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/658fcf6a-52ca-4865-b111-28bf61c346dc.jpg"> <span>Code Generation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/qwen2-5-coder-technical-report#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 3,045</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/qwen2-5-coder-technical-report" 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/qwen2-5-coder-technical-report#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/qwen2-technical-report"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/cf179f9e-03bf-4dbb-bd5b-4ef63704efba.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/qwen2-technical-report">Qwen2 Technical Report</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/qwen2-technical-report#code">4 code implementations</a> • <span class="author-name-text item-date-pub">15 Jul 2024</span> • <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/baosong-yang">Baosong Yang</a></span>, <span class="author-span "> <a href="/author/binyuan-hui">Binyuan Hui</a></span>, <span class="author-span "> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span "> <a href="/author/chengpeng-li">Chengpeng Li</a></span>, <span class="author-span "> <a href="/author/chengyuan-li">Chengyuan Li</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/fei-huang">Fei Huang</a></span>, <span class="author-span "> <a href="/author/guanting-dong">Guanting Dong</a></span>, <span class="author-span "> <a href="/author/haoran-wei">Haoran Wei</a></span>, <span class="author-span "> <a href="/author/huan-lin">Huan Lin</a></span>, <span class="author-span "> <a href="/author/jialong-tang">Jialong Tang</a></span>, <span class="author-span "> <a href="/author/jialin-wang">Jialin Wang</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/jianhong-tu">Jianhong Tu</a></span>, <span class="author-span "> <a href="/author/jianwei-zhang">Jianwei Zhang</a></span>, <span class="author-span "> <a href="/author/jianxin-ma">Jianxin Ma</a></span>, <span class="author-span "> <a href="/author/jianxin-yang">Jianxin Yang</a></span>, <span class="author-span "> <a href="/author/jin-xu">Jin Xu</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/jinze-bai">Jinze Bai</a></span>, <span class="author-span "> <a href="/author/jinzheng-he">Jinzheng He</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/kai-dang">Kai Dang</a></span>, <span class="author-span "> <a href="/author/keming-lu">Keming Lu</a></span>, <span class="author-span "> <a href="/author/keqin-chen">Keqin Chen</a></span>, <span class="author-span "> <a href="/author/kexin-yang">Kexin Yang</a></span>, <span class="author-span "> <a href="/author/mei-li">Mei Li</a></span>, <span class="author-span "> <a href="/author/mingfeng-xue">Mingfeng Xue</a></span>, <span class="author-span "> <a href="/author/na-ni">Na Ni</a></span>, <span class="author-span "> <a href="/author/pei-zhang">Pei Zhang</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/ru-peng">Ru Peng</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/ruize-gao">Ruize Gao</a></span>, <span class="author-span "> <a href="/author/runji-lin">Runji Lin</a></span>, <span class="author-span "> <a href="/author/shijie-wang">Shijie Wang</a></span>, <span class="author-span "> <a href="/author/shuai-bai">Shuai Bai</a></span>, <span class="author-span "> <a href="/author/sinan-tan">Sinan Tan</a></span>, <span class="author-span "> <a href="/author/tianhang-zhu">Tianhang Zhu</a></span>, <span class="author-span "> <a href="/author/tianhao-li">TianHao Li</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/wenbin-ge">Wenbin Ge</a></span>, <span class="author-span "> <a href="/author/xiaodong-deng">Xiaodong Deng</a></span>, <span class="author-span "> <a href="/author/xiaohuan-zhou">Xiaohuan Zhou</a></span>, <span class="author-span "> <a href="/author/xingzhang-ren">Xingzhang Ren</a></span>, <span class="author-span "> <a href="/author/xinyu-zhang">Xinyu Zhang</a></span>, <span class="author-span "> <a href="/author/xipin-wei">Xipin Wei</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span "> <a href="/author/xuejing-liu">Xuejing Liu</a></span>, <span class="author-span "> <a href="/author/yang-fan">Yang Fan</a></span>, <span class="author-span "> <a href="/author/yang-yao">Yang Yao</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/yu-wan">Yu Wan</a></span>, <span class="author-span "> <a href="/author/yunfei-chu">Yunfei Chu</a></span>, <span class="author-span "> <a href="/author/yuqiong-liu">Yuqiong Liu</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/zhenru-zhang">Zhenru Zhang</a></span>, <span class="author-span "> <a href="/author/zhifang-guo">Zhifang Guo</a></span>, <span class="author-span "> <a href="/author/zhihao-fan">Zhihao Fan</a></span> </p> <p class="item-strip-abstract">This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models.</p> <div class="sota"> <p> <a href="/sota/arithmetic-reasoning-on-gsm8k"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/arithmetic-reasoning-on-gsm8k-small_0420f672.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/arithmetic-reasoning-on-gsm8k"> Arithmetic Reasoning on GSM8K </a> (using extra training data) </p> </div> <p> <a href="/task/arithmetic-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Arithmetic Reasoning</span> </span> </a> <a href="/task/gsm8k"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>GSM8K</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/qwen2-technical-report#tasks"> <span class="badge badge-primary"> <b>+5</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> 9,957</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/qwen2-technical-report" 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/qwen2-technical-report#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/can-large-language-models-always-solve-easy"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2406.12809.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/can-large-language-models-always-solve-easy">Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/can-large-language-models-always-solve-easy#code">1 code implementation</a> • <span class="author-name-text item-date-pub">18 Jun 2024</span> • <span class="author-span "> <a href="/author/zhe-yang">Zhe Yang</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span "> <a href="/author/zhifang-sui">Zhifang Sui</a></span> </p> <p class="item-strip-abstract">Furthermore, we introduce the concept of consistency score to quantitatively measure this inconsistency and analyze the potential for improvement in consistency by relative consistency score.</p> <div class="sota"> </div> <p> <a href="/task/in-context-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>In-Context Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 8</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/can-large-language-models-always-solve-easy" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/can-large-language-models-always-solve-easy#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 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/qwen-technical-report"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/8c626831-eb05-49c5-9926-6b86fd9ee4db.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/qwen-technical-report">Qwen Technical Report</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/qwen-technical-report#code">2 code implementations</a> • <span class="author-name-text item-date-pub">28 Sep 2023</span> • <span class="author-span "> <a href="/author/jinze-bai">Jinze Bai</a></span>, <span class="author-span "> <a href="/author/shuai-bai">Shuai Bai</a></span>, <span class="author-span "> <a href="/author/yunfei-chu">Yunfei Chu</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/kai-dang">Kai Dang</a></span>, <span class="author-span "> <a href="/author/xiaodong-deng">Xiaodong Deng</a></span>, <span class="author-span "> <a href="/author/yang-fan">Yang Fan</a></span>, <span class="author-span "> <a href="/author/wenbin-ge">Wenbin Ge</a></span>, <span class="author-span "> <a href="/author/yu-han">Yu Han</a></span>, <span class="author-span "> <a href="/author/fei-huang">Fei Huang</a></span>, <span class="author-span "> <a href="/author/binyuan-hui">Binyuan Hui</a></span>, <span class="author-span "> <a href="/author/luo-ji">Luo Ji</a></span>, <span class="author-span "> <a href="/author/mei-li">Mei Li</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/runji-lin">Runji Lin</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/gao-liu">Gao Liu</a></span>, <span class="author-span "> <a href="/author/chengqiang-lu">Chengqiang Lu</a></span>, <span class="author-span "> <a href="/author/keming-lu">Keming Lu</a></span>, <span class="author-span "> <a href="/author/jianxin-ma">Jianxin Ma</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/xingzhang-ren">Xingzhang Ren</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span "> <a href="/author/chuanqi-tan">Chuanqi Tan</a></span>, <span class="author-span "> <a href="/author/sinan-tan">Sinan Tan</a></span>, <span class="author-span "> <a href="/author/jianhong-tu">Jianhong Tu</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/shijie-wang">Shijie Wang</a></span>, <span class="author-span "> <a href="/author/wei-wang">Wei Wang</a></span>, <span class="author-span "> <a href="/author/shengguang-wu">Shengguang Wu</a></span>, <span class="author-span "> <a href="/author/benfeng-xu">Benfeng Xu</a></span>, <span class="author-span "> <a href="/author/jin-xu">Jin Xu</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/hao-yang">Hao Yang</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/shusheng-yang">Shusheng Yang</a></span>, <span class="author-span "> <a href="/author/yang-yao">Yang Yao</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/hongyi-yuan">Hongyi Yuan</a></span>, <span class="author-span "> <a href="/author/zheng-yuan">Zheng Yuan</a></span>, <span class="author-span "> <a href="/author/jianwei-zhang">Jianwei Zhang</a></span>, <span class="author-span "> <a href="/author/xingxuan-zhang">Xingxuan Zhang</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/zhenru-zhang">Zhenru Zhang</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/xiaohuan-zhou">Xiaohuan Zhou</a></span>, <span class="author-span "> <a href="/author/tianhang-zhu">Tianhang Zhu</a></span> </p> <p class="item-strip-abstract">Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling natural language processing tasks that were previously thought to be exclusive to humans.</p> <div class="sota"> <p> <a href="/sota/multi-label-text-classification-on-cc3m"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/multi-label-text-classification-on-cc3m-small_07ec2460.png"/> </a> Ranked #3 on <a href="/sota/multi-label-text-classification-on-cc3m"> Multi-Label Text Classification on CC3M-TagMask </a> </p> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/qwen-technical-report#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 14,293</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/qwen-technical-report" 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/qwen-technical-report#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/transferring-general-multimodal-pretrained"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/6b9e1cf7-59ac-4ee8-94f4-b4e29ae19a00.gif');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/transferring-general-multimodal-pretrained">Transferring General Multimodal Pretrained Models to Text Recognition</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/transferring-general-multimodal-pretrained#code">1 code implementation</a> • <span class="author-name-text item-date-pub">19 Dec 2022</span> • <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/gao-liu">Gao Liu</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span> </p> <p class="item-strip-abstract">This paper proposes a new method, OFA-OCR, to transfer multimodal pretrained models to text recognition.</p> <div class="sota"> </div> <p> <a href="/task/image-captioning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/ffa786ba-56d6-495d-ba63-572171305da4.jpg"> <span>Image Captioning</span> </span> </a> <a href="/task/optical-character-recognition"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000012-96a4bb03_wHfYaCD.jpg"> <span>Optical Character Recognition (OCR)</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> 2,425</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/transferring-general-multimodal-pretrained" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/transferring-general-multimodal-pretrained#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/ofasys-a-multi-modal-multi-task-learning"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/eb5e8037-f602-45e5-bc67-41d8ad9e77be.gif');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/ofasys-a-multi-modal-multi-task-learning">OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/ofasys-a-multi-modal-multi-task-learning#code">1 code implementation</a> • <span class="author-name-text item-date-pub">8 Dec 2022</span> • <span class="author-span "> <a href="/author/jinze-bai">Jinze Bai</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/hao-yang">Hao Yang</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span "> <a href="/author/kai-dang">Kai Dang</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/xiaohuan-zhou">Xiaohuan Zhou</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/sinan-tan">Sinan Tan</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/yu-han">Yu Han</a></span>, <span class="author-span "> <a href="/author/shuai-bai">Shuai Bai</a></span>, <span class="author-span "> <a href="/author/wenbin-ge">Wenbin Ge</a></span>, <span class="author-span "> <a href="/author/jianxin-ma">Jianxin Ma</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span> </p> <p class="item-strip-abstract">As a starting point, we provide presets of 7 different modalities and 23 highly-diverse example tasks in OFASys, with which we also develop a first-in-kind, single model, OFA+, that can handle text, image, speech, video, and motion data.</p> <div class="sota"> </div> <p> <a href="/task/multi-task-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000069-a2f3e151.jpg"> <span>Multi-Task Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 145</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/ofasys-a-multi-modal-multi-task-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/ofasys-a-multi-modal-multi-task-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/chinese-clip-contrastive-vision-language"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2211.01335.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/chinese-clip-contrastive-vision-language">Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/chinese-clip-contrastive-vision-language#code">1 code implementation</a> • <span class="author-name-text item-date-pub">2 Nov 2022</span> • <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/junshu-pan">Junshu Pan</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span> </p> <p class="item-strip-abstract">The tremendous success of CLIP (Radford et al., 2021) has promoted the research and application of contrastive learning for vision-language pretraining.</p> <div class="sota"> <p> <a href="/sota/zero-shot-image-retrieval-on-muge-retrieval"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/zero-shot-image-retrieval-on-muge-retrieval-small_ef91aa7f.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/zero-shot-image-retrieval-on-muge-retrieval"> Zero-shot Image Retrieval on MUGE Retrieval </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/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/chinese-clip-contrastive-vision-language#tasks"> <span class="badge badge-primary"> <b>+8</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 4,585</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/chinese-clip-contrastive-vision-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/chinese-clip-contrastive-vision-language#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/sketch-and-refine-towards-faithful-and"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2105.14778.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/sketch-and-refine-towards-faithful-and">Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/sketch-and-refine-towards-faithful-and#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/findings-acl-2021-8"> Findings (ACL) 2021 </a> </span> • <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/hongxia-yang">Hongxia Yang</a></span> </p> <p class="item-strip-abstract">Experimental results demonstrate that our method outperforms the previous state-of-the-art methods in both automatic and human evaluation, especially on coverage and faithfulness.</p> <div class="sota"> </div> <p> <a href="/task/descriptive"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Descriptive</span> </span> </a> <a href="/task/table-to-text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/32c83b46-57c6-45ba-bf8b-a326dde08c5a.jpg"> <span>Table-to-Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/sketch-and-refine-towards-faithful-and" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/sketch-and-refine-towards-faithful-and#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/m6-a-chinese-multimodal-pretrainer"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2103.00823.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/m6-a-chinese-multimodal-pretrainer">M6: A Chinese Multimodal Pretrainer</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/m6-a-chinese-multimodal-pretrainer#code">no code implementations</a> • <span class="author-name-text item-date-pub">1 Mar 2021</span> • <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span "> <a href="/author/ming-ding">Ming Ding</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/ang-wang">Ang Wang</a></span>, <span class="author-span "> <a href="/author/le-jiang">Le Jiang</a></span>, <span class="author-span "> <a href="/author/xianyan-jia">Xianyan Jia</a></span>, <span class="author-span "> <a href="/author/jie-zhang">Jie Zhang</a></span>, <span class="author-span "> <a href="/author/jianwei-zhang">Jianwei Zhang</a></span>, <span class="author-span "> <a href="/author/xu-zou">Xu Zou</a></span>, <span class="author-span "> <a href="/author/zhikang-li">Zhikang Li</a></span>, <span class="author-span "> <a href="/author/xiaodong-deng">Xiaodong Deng</a></span>, <span class="author-span "> <a href="/author/jie-liu">Jie Liu</a></span>, <span class="author-span "> <a href="/author/jinbao-xue">Jinbao Xue</a></span>, <span class="author-span "> <a href="/author/huiling-zhou">Huiling Zhou</a></span>, <span class="author-span "> <a href="/author/jianxin-ma">Jianxin Ma</a></span>, <span class="author-span "> <a href="/author/jin-yu">Jin Yu</a></span>, <span class="author-span "> <a href="/author/yong-li">Yong Li</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/jie-tang">Jie Tang</a></span>, <span class="author-span "> <a href="/author/hongxia-yang">Hongxia Yang</a></span> </p> <p class="item-strip-abstract">In this work, we construct the largest dataset for multimodal pretraining in Chinese, which consists of over 1. 9TB images and 292GB texts that cover a wide range of domains.</p> <div class="sota"> </div> <p> <a href="/task/image-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/5ac09bd9-8785-4253-8cf4-4412dcd36426.jpg"> <span>Image Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/m6-a-chinese-multimodal-pretrainer" 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/m6-a-chinese-multimodal-pretrainer#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/meta-kd-a-meta-knowledge-distillation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/bb24746f-030a-4cc8-81ee-b25f4a841940.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/meta-kd-a-meta-knowledge-distillation">Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/meta-kd-a-meta-knowledge-distillation#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2021-5"> ACL 2021 </a> </span> • <span class="author-span "> <a href="/author/haojie-pan">Haojie Pan</a></span>, <span class="author-span "> <a href="/author/chengyu-wang">Chengyu Wang</a></span>, <span class="author-span "> <a href="/author/minghui-qiu">Minghui Qiu</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/yaliang-li">Yaliang Li</a></span>, <span class="author-span "> <a href="/author/jun-huang">Jun Huang</a></span> </p> <p class="item-strip-abstract">However, the large model sizes, together with the long inference time, limit the deployment of such models in real-time applications.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-distillation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Distillation</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/meta-kd-a-meta-knowledge-distillation#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> 2,071</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/meta-kd-a-meta-knowledge-distillation" 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/meta-kd-a-meta-knowledge-distillation#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/graph-based-multi-hop-reasoning-for-long-text"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2009.13282.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/graph-based-multi-hop-reasoning-for-long-text">Graph-based Multi-hop Reasoning for Long Text Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/graph-based-multi-hop-reasoning-for-long-text#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 Sep 2020</span> • <span class="author-span "> <a href="/author/liang-zhao">Liang Zhao</a></span>, <span class="author-span "> <a href="/author/jingjing-xu">Jingjing Xu</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/hongxia-yang">Hongxia Yang</a></span>, <span class="author-span "> <a href="/author/xu-sun-1">Xu sun</a></span> </p> <p class="item-strip-abstract">The reasoning module is responsible for searching skeleton paths from a knowledge graph to imitate the imagination process in the human writing for semantic transfer.</p> <div class="sota"> </div> <p> <a href="/task/review-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Review 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> <a style="position: relative; top: -2px;" href="/paper/graph-based-multi-hop-reasoning-for-long-text#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/graph-based-multi-hop-reasoning-for-long-text" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/graph-based-multi-hop-reasoning-for-long-text#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/interbert-vision-and-language-interaction-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2003.13198.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/interbert-vision-and-language-interaction-for">InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/interbert-vision-and-language-interaction-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">30 Mar 2020</span> • <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/jie-liu">Jie Liu</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/hongxia-yang">Hongxia Yang</a></span> </p> <p class="item-strip-abstract">We pretrain the model with three pretraining tasks, including masked segment modeling (MSM), masked region modeling (MRM) and image-text matching (ITM); and finetune the model on a series of vision-and-language downstream tasks.</p> <div class="sota"> </div> <p> <a href="/task/image-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/834263fd-0f2e-47a9-bda1-0fd3f44c71df.jpg"> <span>Image Retrieval</span> </span> </a> <a href="/task/image-text-matching"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image-text matching</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/interbert-vision-and-language-interaction-for#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/interbert-vision-and-language-interaction-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/interbert-vision-and-language-interaction-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-knowledge-based-recommender-dialog"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1908.05391.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-knowledge-based-recommender-dialog">Towards Knowledge-Based Recommender Dialog System</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-knowledge-based-recommender-dialog#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/ijcnlp-2019-11"> IJCNLP 2019 </a> </span> • <span class="author-span "> <a href="/author/qibin-chen">Qibin Chen</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/ming-ding">Ming Ding</a></span>, <span class="author-span "> <a href="/author/yukuo-cen">Yukuo Cen</a></span>, <span class="author-span "> <a href="/author/hongxia-yang">Hongxia Yang</a></span>, <span class="author-span "> <a href="/author/jie-tang">Jie Tang</a></span> </p> <p class="item-strip-abstract">In this paper, we propose a novel end-to-end framework called KBRD, which stands for Knowledge-Based Recommender Dialog System.</p> <div class="sota"> <p> <a href="/sota/text-generation-on-redial"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/text-generation-on-redial-small_22c16138.png"/> </a> Ranked #5 on <a href="/sota/text-generation-on-redial"> Text Generation on ReDial </a> </p> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> <a href="/task/text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2a04ff75-1032-4f9f-911b-f7198faeb6f5.jpg"> <span>Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><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> 134</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-knowledge-based-recommender-dialog" 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-knowledge-based-recommender-dialog#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-knowledge-based-personalized-product"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/e849b5e4-9288-4532-91d9-60d3fd77a283.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-knowledge-based-personalized-product">Towards Knowledge-Based Personalized Product Description Generation in E-commerce</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-knowledge-based-personalized-product#code">4 code implementations</a> • <span class="author-name-text item-date-pub">29 Mar 2019</span> • <span class="author-span "> <a href="/author/qibin-chen">Qibin Chen</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span author-matched"> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/hongxia-yang">Hongxia Yang</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/jie-tang">Jie Tang</a></span> </p> <p class="item-strip-abstract">In order to make the description both informative and personalized, KOBE considers a variety of important factors during text generation, including product aspects, user categories, and knowledge base, etc.</p> <div class="sota"> </div> <p> <a href="/task/text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2a04ff75-1032-4f9f-911b-f7198faeb6f5.jpg"> <span>Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" 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