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class=md-tabs__link> Blogs </a> </li> <li class=md-tabs__item> <a href=notes/Normalization/ class=md-tabs__link> Notes </a> </li> <li class=md-tabs__item> <a href=notes/CS224n-2019-00-Info/ class=md-tabs__link> Notes on CS224n-2019 </a> </li> <li class=md-tabs__item> <a href=notes/MkDocs_demo/ class=md-tabs__link> Notes on MkDocs </a> </li> </ul> </div> </nav> <main class=md-main data-md-component=main> <div class="md-main__inner md-grid"> <div class="md-sidebar md-sidebar--primary" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav aria-label=导航栏 class="md-nav md-nav--primary md-nav--lifted" data-md-level=0> <label class=md-nav__title for=__drawer> <a aria-label="The Sun Also Rises." class="md-nav__button md-logo" data-md-component=logo href=. title="The Sun Also Rises."> <svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 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40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81z"></path></svg> </div> <div class=md-source__repository> LooperXX/LooperXX.github.io </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" id=__toc type=checkbox> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Xiao Xu @ HIT-SCIR </span> <span class="md-nav__icon md-icon"></span> </label> <a class="md-nav__link md-nav__link--active" href=.> <span class=md-ellipsis> Xiao Xu @ HIT-SCIR </span> </a> <nav aria-label=目录 class="md-nav md-nav--secondary"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> 目录 </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a class=md-nav__link href=#research-interests> Research Interests </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#publications> Publications </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#services> Services </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#awards> Awards </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#experiences> Experiences </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#education> Education </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle" id=__nav_2 type=checkbox> <label class=md-nav__link for=__nav_2 id=__nav_2_label tabindex> <span class=md-ellipsis> Blogs </span> <span class="md-nav__icon md-icon"></span> </label> <nav aria-expanded=false aria-labelledby=__nav_2_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_2> <span class="md-nav__icon md-icon"></span> Blogs </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=blog/ManagerTower/ class=md-nav__link> <span class=md-ellipsis> ACL 2023 Oral Paper | ManagerTower: 自适应融合单模态专家见解的视觉语言表示学习方法 </span> </a> </li> <li class=md-nav__item> <a href=blog/BridgeTower/ class=md-nav__link> <span class=md-ellipsis> AAAI 2023 Oral Paper | BridgeTower: 在视觉语言表示学习中建立编码器间的桥梁 </span> </a> </li> <li class=md-nav__item> <a href=blog/Profile%20SLU/ class=md-nav__link> <span class=md-ellipsis> AAAI 2022 Oral Paper | Profile SLU: 基于Profile信息的口语语言理解基准 </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle" id=__nav_3 type=checkbox> <label class=md-nav__link for=__nav_3 id=__nav_3_label tabindex> <span class=md-ellipsis> Notes </span> <span class="md-nav__icon md-icon"></span> </label> <nav aria-expanded=false aria-labelledby=__nav_3_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_3> <span class="md-nav__icon md-icon"></span> Notes </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=notes/Normalization/ class=md-nav__link> <span class=md-ellipsis> Normalization </span> </a> </li> <li class=md-nav__item> <a href=notes/Transfer%20Learning/ class=md-nav__link> <span class=md-ellipsis> Transfer Learning </span> </a> </li> <li class=md-nav__item> <a href=notes/Attention/ class=md-nav__link> <span class=md-ellipsis> Attention </span> </a> </li> <li class=md-nav__item> <a href=notes/Neural%20Reading%20Comprehension%20and%20beyond/ class=md-nav__link> <span class=md-ellipsis> Machine Reading Comprehension </span> </a> </li> <li class=md-nav__item> <a href=notes/Notes%20on%20NCRF%2B%2B/ class=md-nav__link> <span class=md-ellipsis> NCRF++ </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle" id=__nav_4 type=checkbox> <label class=md-nav__link for=__nav_4 id=__nav_4_label tabindex> <span class=md-ellipsis> Notes on CS224n-2019 </span> <span class="md-nav__icon md-icon"></span> </label> <nav aria-expanded=false aria-labelledby=__nav_4_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Notes on CS224n-2019 </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=notes/CS224n-2019-00-Info/ class=md-nav__link> <span class=md-ellipsis> CS224n-2019 Introduction </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-Assignment/ class=md-nav__link> <span class=md-ellipsis> CS224n-2019 Assignment </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-01-Introduction%20and%20Word%20Vectors/ class=md-nav__link> <span class=md-ellipsis> 01 Introduction and Word Vectors </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-02-Word%20Vectors%202%20and%20Word%20Senses/ class=md-nav__link> <span class=md-ellipsis> 02 Word Vectors 2 and Word Senses </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-03-Word%20Window%20Classification%2CNeural%20Networks%2C%20and%20Matrix%20Calculus/ class=md-nav__link> <span class=md-ellipsis> 03 Word Window Classification,Neural Networks, and Matrix Calculus </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-04-Backpropagation%20and%20Computation%20Graphs/ class=md-nav__link> <span class=md-ellipsis> 04 Backpropagation and Computation Graphs </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-05-Linguistic%20Structure%20Dependency%20Parsing/ class=md-nav__link> <span class=md-ellipsis> 05 Linguistic Structure Dependency Parsing </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-06-The%20probability%20of%20a%20sentence%20Recurrent%20Neural%20Networks%20and%20Language%20Models/ class=md-nav__link> <span class=md-ellipsis> 06 The probability of a sentence Recurrent Neural Networks and Language Models </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-07-Vanishing%20Gradients%20and%20Fancy%20RNNs/ class=md-nav__link> <span class=md-ellipsis> 07 Vanishing Gradients and Fancy RNNs </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-08-Machine%20Translation%2C%20Sequence-to-sequence%20and%20Attention/ class=md-nav__link> <span class=md-ellipsis> 08 Machine Translation, Sequence-to-sequence and Attention </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-09-Practical%20Tips%20for%20Final%20Projects/ class=md-nav__link> <span class=md-ellipsis> 09 Practical Tips for Final Projects </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-10-Question%20Answering%20and%20the%20Default%20Final%20Project/ class=md-nav__link> <span class=md-ellipsis> 10 Question Answering and the Default Final Project </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-11-ConvNets%20for%20NLP/ class=md-nav__link> <span class=md-ellipsis> 11 ConvNets for NLP </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-12-Information%20from%20parts%20of%20words%20Subword%20Models/ class=md-nav__link> <span class=md-ellipsis> 12 Information from parts of words Subword Models </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-13-Modeling%20contexts%20of%20use%20Contextual%20Representations%20and%20Pretraining/ class=md-nav__link> <span class=md-ellipsis> 13 Modeling contexts of use Contextual Representations and Pretraining </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-14-Transformers%20and%20Self-Attention%20For%20Generative%20Models/ class=md-nav__link> <span class=md-ellipsis> 14 Transformers and Self-Attention For Generative Models </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-15-Natural%20Language%20Generation/ class=md-nav__link> <span class=md-ellipsis> 15 Natural Language Generation </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-16-Coreference%20Resolution/ class=md-nav__link> <span class=md-ellipsis> 16 Coreference Resolution </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-17-Multitask%20Learning/ class=md-nav__link> <span class=md-ellipsis> 17 Multitask Learning </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-18-Tree%20Recursive%20Neural%20Networks%2C%20Constituency%20Parsing%2C%20and%20Sentiment/ class=md-nav__link> <span class=md-ellipsis> 18 Tree Recursive Neural Networks, Constituency Parsing, and Sentiment </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-19-Safety%2C%20Bias%2C%20and%20Fairness/ class=md-nav__link> <span class=md-ellipsis> 19 Safety, Bias, and Fairness </span> </a> </li> <li class=md-nav__item> <a href=notes/CS224n-2019-20-The%20Future%20of%20NLP%20%2B%20Deep%20Learning/ class=md-nav__link> <span class=md-ellipsis> 20 The Future of NLP + Deep Learning </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle" id=__nav_5 type=checkbox> <label class=md-nav__link for=__nav_5 id=__nav_5_label tabindex> <span class=md-ellipsis> Notes on MkDocs </span> <span class="md-nav__icon md-icon"></span> </label> <nav aria-expanded=false aria-labelledby=__nav_5_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Notes on MkDocs </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=notes/MkDocs_demo/ class=md-nav__link> <span class=md-ellipsis> Demo </span> </a> </li> <li class=md-nav__item> <a href=notes/Material%20Theme%20Tutorial/ class=md-nav__link> <span class=md-ellipsis> Material Theme Tutorial </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav aria-label=目录 class="md-nav md-nav--secondary"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> 目录 </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a class=md-nav__link href=#research-interests> Research Interests </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#publications> Publications </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#services> Services </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#awards> Awards </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#experiences> Experiences </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#education> Education </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1>Xiao Xu @ HIT-SCIR</h1> <!-- ![ICON](./imgs/IMG_2430(20200224-012228).JPG){ align=left width=200px} --> <p><a class=glightbox data-desc-position=bottom data-height=auto data-type=image data-width=100% href=imgs/profile.png><img align=left alt=ICON src=imgs/profile.png width=200px></a></p> <!-- I am Xiao Xu, a Ph.D. student in the [Research Center for Social Computing and Information Retrieval](http://ir.hit.edu.cn/) at [Harbin Institute of Technology](http://www.hit.edu.cn/) (HIT, China) since 2020. --> <!-- I am fortunately advised by Prof. [Wanxiang Che](http://ir.hit.edu.cn/~car/). --> <!-- In July 2020, I obtained my B.S. degree from Northeastern University (NEU, China). --> <p>I am Xiao Xu, a fifth-year Ph.D. student from <a href=http://www.hit.edu.cn/ >Harbin Institute of Technology</a>. Fortunately, I am advised by <a href=http://ir.hit.edu.cn/~car/ >Prof. Wanxiang Che</a>.</p> <p>I am a member of <a href=http://ir.hit.edu.cn/~la/ >Language Analysis Group</a> at <a href=http://ir.hit.edu.cn/ >Research Center for Social Computing and Information Retrieval</a> (HIT-SCIR).</p> <p>Love music, singing, animation, and all good things in my life.</p> <p>The Sun Also Rises.</p> <p style="line-height: 0.5"><br></p> <figure> <table> <thead> <tr> <th style="text-align: center;">More</th> <th style="text-align: left;"><span class=twemoji><svg viewbox="0 0 512 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M399 384.2c-22.1-38.4-63.6-64.2-111-64.2h-64c-47.4 0-88.9 25.8-111 64.2 35.2 39.2 86.2 63.8 143 63.8s107.8-24.7 143-63.8zM0 256a256 256 0 1 1 512 0 256 256 0 1 1-512 0zm256 16a72 72 0 1 0 0-144 72 72 0 1 0 0 144z"></path></svg></span> <a href=files/Resume_Xiao_Xu_HIT_SCIR.pdf>Resume</a></th> <th style="text-align: left;"><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"></path></svg></span> <a href=https://github.com/looperxx>Github</a></th> <th style="text-align: left;"><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M5.242 13.769 0 9.5 12 0l12 9.5-5.242 4.269C17.548 11.249 14.978 9.5 12 9.5c-2.977 0-5.548 1.748-6.758 4.269zM12 10a7 7 0 1 0 0 14 7 7 0 0 0 0-14z"></path></svg></span> <a href="https://scholar.google.com/citations?hl=en&user=lgVN8tcAAAAJ">Google Scholar</a></th> <th style="text-align: left;"><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M24 8.609c-.848.536-1.436.83-2.146 1.245-4.152 2.509-8.15 5.295-11.247 8.981l-1.488 1.817-4.568-7.268c1.021.814 3.564 3.098 4.603 3.599l3.356-2.526c2.336-1.644 8.946-5.226 11.49-5.848ZM8.046 15.201c.346.277.692.537.969.744.761-3.668.121-7.613-1.886-11.039 3.374-.052 6.731-.087 10.105-.139a14.794 14.794 0 0 1 1.298 5.295c.294-.156.588-.294.883-.433-.104-1.868-.641-3.91-1.662-6.263-4.602-.018-9.188-.018-13.79-.018 2.993 3.547 4.36 7.839 4.083 11.853Zm-.623-.484c.087.086.191.155.277.225-.138-3.409-1.419-6.887-3.824-9.881H1.73c3.098 2.855 4.984 6.299 5.693 9.656Zm-.744-.658c.104.087.208.173.329.277-.9-2.526-2.492-5.018-4.741-7.198H0c2.89 2.076 5.122 4.481 6.679 6.921Z"></path></svg></span> <a href=https://www.semanticscholar.org/author/Xiao-Xu/33506639>Semantic Scholar</a></th> </tr> </thead> <tbody> <tr> <td style="text-align: center;"><strong>Contact</strong></td> <td style="text-align: left;"><span class=twemoji><svg viewbox="0 0 512 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M48 64C21.5 64 0 85.5 0 112c0 15.1 7.1 29.3 19.2 38.4l217.6 163.2c11.4 8.5 27 8.5 38.4 0l217.6-163.2c12.1-9.1 19.2-23.3 19.2-38.4 0-26.5-21.5-48-48-48H48zM0 176v208c0 35.3 28.7 64 64 64h384c35.3 0 64-28.7 64-64V176L294.4 339.2a63.9 63.9 0 0 1-76.8 0L0 176z"></path></svg></span> <a href=mailto:[email protected]><strong>Email</strong></a></td> <td style="text-align: left;"><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M8.691 2.188C3.891 2.188 0 5.476 0 9.53c0 2.212 1.17 4.203 3.002 5.55a.59.59 0 0 1 .213.665l-.39 1.48c-.019.07-.048.141-.048.213 0 .163.13.295.29.295a.326.326 0 0 0 .167-.054l1.903-1.114a.864.864 0 0 1 .717-.098 10.16 10.16 0 0 0 2.837.403c.276 0 .543-.027.811-.05-.857-2.578.157-4.972 1.932-6.446 1.703-1.415 3.882-1.98 5.853-1.838-.576-3.583-4.196-6.348-8.596-6.348zM5.785 5.991c.642 0 1.162.529 1.162 1.18a1.17 1.17 0 0 1-1.162 1.178A1.17 1.17 0 0 1 4.623 7.17c0-.651.52-1.18 1.162-1.18zm5.813 0c.642 0 1.162.529 1.162 1.18a1.17 1.17 0 0 1-1.162 1.178 1.17 1.17 0 0 1-1.162-1.178c0-.651.52-1.18 1.162-1.18zm5.34 2.867c-1.797-.052-3.746.512-5.28 1.786-1.72 1.428-2.687 3.72-1.78 6.22.942 2.453 3.666 4.229 6.884 4.229.826 0 1.622-.12 2.361-.336a.722.722 0 0 1 .598.082l1.584.926a.272.272 0 0 0 .14.047c.134 0 .24-.111.24-.247 0-.06-.023-.12-.038-.177l-.327-1.233a.582.582 0 0 1-.023-.156.49.49 0 0 1 .201-.398C23.024 18.48 24 16.82 24 14.98c0-3.21-2.931-5.837-6.656-6.088V8.89c-.135-.01-.27-.027-.407-.03zm-2.53 3.274c.535 0 .969.44.969.982a.976.976 0 0 1-.969.983.976.976 0 0 1-.969-.983c0-.542.434-.982.97-.982zm4.844 0c.535 0 .969.44.969.982a.976.976 0 0 1-.969.983.976.976 0 0 1-.969-.983c0-.542.434-.982.969-.982z"></path></svg></span> <a href=LooperXX27><strong>WeChat</strong></a></td> <td style="text-align: left;"><span class=twemoji><svg viewbox="0 0 512 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg></span> <a href=https://twitter.com/looperxx27><strong>Twitter</strong></a></td> <td style="text-align: left;"><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M5.721 0C2.251 0 0 2.25 0 5.719V18.28C0 21.751 2.252 24 5.721 24h12.56C21.751 24 24 21.75 24 18.281V5.72C24 2.249 21.75 0 18.281 0zm1.964 4.078c-.271.73-.5 1.434-.68 2.11h4.587c.545-.006.445 1.168.445 1.171H9.384a58.104 58.104 0 0 1-.112 3.797h2.712c.388.023.393 1.251.393 1.266H9.183a9.223 9.223 0 0 1-.408 2.102l.757-.604c.452.456 1.512 1.712 1.906 2.177.473.681.063 2.081.063 2.081l-2.794-3.382c-.653 2.518-1.845 3.607-1.845 3.607-.523.468-1.58.82-2.64.516 2.218-1.73 3.44-3.917 3.667-6.497H4.491c0-.015.197-1.243.806-1.266h2.71c.024-.32.086-3.254.086-3.797H6.598c-.136.406-.158.447-.268.753-.594 1.095-1.603 1.122-1.907 1.155.906-1.821 1.416-3.6 1.591-4.064.425-1.124 1.671-1.125 1.671-1.125zM13.078 6h6.377v11.33h-2.573l-2.184 1.373-.401-1.373h-1.219zm1.313 1.219v8.86h.623l.263.937 1.455-.938h1.456v-8.86z"></path></svg></span> <a href=https://www.zhihu.com/people/xuxiao-looper><strong>Zhihu</strong></a></td> </tr> </tbody> </table> </figure> <!-- More:
:fontawesome-solid-circle-user: [Resume](./files/Resume_Xiao_Xu_HIT_SCIR.pdf)
:simple-github: [Github](https://github.com/looperxx)
:simple-googlescholar: [Google Scholar](https://scholar.google.com/citations?hl=zh-CN&user=lgVN8tcAAAAJ)
:simple-semanticscholar: [Semantic Scholar](https://www.semanticscholar.org/author/Xiao-Xu/33506639).
Contact:
:fontawesome-solid-envelope: [Email](mailto:[email protected])
:simple-zhihu: [Zhihu](https://www.zhihu.com/people/xuxiao-looper)
:fontawesome-brands-twitter: [Twitter](https://twitter.com/looperxx27). --> <h3 id=research-interests>Research Interests<a class=headerlink href=#research-interests title="Permanent link">¶</a></h3> <ul> <li>2020 - 2021: Task-oriented Dialogue Systems, Natural Language Processing.</li> <li>2022 - Now: Vision-Language Learning, Multimodal Large Language Models.</li> </ul> <!-- ### News
- 2022.11. One paper was accepted by [AAAI 2023](https://aaai.org/Conferences/AAAI-23/).
- 2021.12. One paper was accepted by [AAAI 2022](https://aaai.org/Conferences/AAAI-22/).
- 2021.08. One paper was accepted by [EMNLP 2021](https://2021.emnlp.org/).
- 2021.05. One paper was accepted by [ACL 2021](https://2021.aclweb.org/).
- 2020.09. One paper was accepted by [EMNLP 2020](https://2020.emnlp.org/).
- 2020.04. One paper was accepted by [ACL 2020](https://acl2020.org/). --> <h3 id=publications>Publications<a class=headerlink href=#publications title="Permanent link">¶</a></h3> <div class="admonition note"> <p class=admonition-title>Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs</p> <p><strong>Xiao Xu</strong>, Libo Qin, Wanxiang Che, Min-Yen Kan.</p> <p><a href=https://arxiv.org/ >Arxiv</a> | Preprint</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=files/Manager.pdf>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LooperXX/ManagerTower>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LooperXX/LLaVA-OV-Manager>Code</a></p> </div> <div class="admonition note"> <p class=admonition-title>Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models</p> <p><strong>Xiao Xu</strong>, Tianhao Niu, Yuxi Xie, Libo Qin, Wanxiang Che, Min-Yen Kan.</p> <p><a href=https://arxiv.org/ >Arxiv</a> | Preprint</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2412.05939>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LooperXX/MMGiC>Code</a></p> </div> <div class="admonition note"> <p class=admonition-title>ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning</p> <p><strong>Xiao Xu</strong>, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan.</p> <p><a href=https://2023.aclweb.org/ >ACL 2023 (Oral)</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://aclanthology.org/2023.acl-long.811/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2306.00103>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LooperXX/ManagerTower>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M21 16.5c0 .38-.21.71-.53.88l-7.9 4.44c-.16.12-.36.18-.57.18-.21 0-.41-.06-.57-.18l-7.9-4.44A.991.991 0 0 1 3 16.5v-9c0-.38.21-.71.53-.88l7.9-4.44c.16-.12.36-.18.57-.18.21 0 .41.06.57.18l7.9 4.44c.32.17.53.5.53.88v9M12 4.15 6.04 7.5 12 10.85l5.96-3.35L12 4.15Z"></path></svg></span> <a href=https://huggingface.co/LooperXX/ManagerTower>Model</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12.6 12.3h-2v3.2h2.1c.6 0 .9-.2 1.2-.5.3-.3.4-.6.4-1.1 0-.5-.1-.8-.4-1.1-.3-.3-.7-.5-1.3-.5M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6m1.2 14c-.6.5-1.1.7-2.4.7h-2.2V20H9v-9h3.8c1.3 0 1.9.3 2.4.8.6.6.8 1.2.8 2.1 0 .9-.2 1.6-.8 2.1M13 9V3.5L18.5 9H13Z"></path></svg></span> <a href=files/ManagerTower-ACL23-PPT-2023-06-EN-12min.pdf>Slides</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M17 10.5V7a1 1 0 0 0-1-1H4a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-3.5l4 4v-11l-4 4Z"></path></svg></span> <a href=https://youtu.be/SOHprfiiClQ>Video(EN)</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M17 10.5V7a1 1 0 0 0-1-1H4a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-3.5l4 4v-11l-4 4Z"></path></svg></span> <a href=https://www.bilibili.com/video/BV17s4y1y7Ny>Video(CN)</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=http://looperxx.github.io/blog/ManagerTower>Blog(CN)</a> | <span class=twemoji><svg viewbox="0 0 512 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg></span> <a href=https://twitter.com/looperxx27/status/1678341890809401346>Tweet(EN)</a></p> </div> <div class="admonition note"> <p class=admonition-title>BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning</p> <p><strong>Xiao Xu</strong>, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan.</p> <p><a href=https://aaai.org/Conferences/AAAI-23/ >AAAI 2023 (Oral)</a> | Association for the Advancement of Artificial Intelligence</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://ojs.aaai.org/index.php/AAAI/article/view/26263>Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2206.08657>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/microsoft/BridgeTower>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M21 16.5c0 .38-.21.71-.53.88l-7.9 4.44c-.16.12-.36.18-.57.18-.21 0-.41-.06-.57-.18l-7.9-4.44A.991.991 0 0 1 3 16.5v-9c0-.38.21-.71.53-.88l7.9-4.44c.16-.12.36-.18.57-.18.21 0 .41.06.57.18l7.9 4.44c.32.17.53.5.53.88v9M12 4.15 6.04 7.5 12 10.85l5.96-3.35L12 4.15Z"></path></svg></span> <a href=https://huggingface.co/LooperXX/BridgeTower>Model</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12.6 12.3h-2v3.2h2.1c.6 0 .9-.2 1.2-.5.3-.3.4-.6.4-1.1 0-.5-.1-.8-.4-1.1-.3-.3-.7-.5-1.3-.5M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6m1.2 14c-.6.5-1.1.7-2.4.7h-2.2V20H9v-9h3.8c1.3 0 1.9.3 2.4.8.6.6.8 1.2.8 2.1 0 .9-.2 1.6-.8 2.1M13 9V3.5L18.5 9H13Z"></path></svg></span> <a href=files/BridgeTower-AAAI23-PPT-2023-02-08.pdf>Slides</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M17 10.5V7a1 1 0 0 0-1-1H4a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-3.5l4 4v-11l-4 4Z"></path></svg></span> <a href=https://youtu.be/VoHS6RB9LIg>Video(EN)</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M17 10.5V7a1 1 0 0 0-1-1H4a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-3.5l4 4v-11l-4 4Z"></path></svg></span> <a href=https://www.bilibili.com/video/BV1sT411d7Cr>Video(CN)</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=http://looperxx.github.io/blog/BridgeTower>Blog(CN)</a> | <span class=twemoji><svg viewbox="0 0 512 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg></span> <a href=https://twitter.com/looperxx27/status/1621862912422993921>Tweet(EN)</a></p> <p><span class=twemoji><svg viewbox="0 0 384 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M96 0C78.3 0 64 14.3 64 32v96h64V32c0-17.7-14.3-32-32-32zm192 0c-17.7 0-32 14.3-32 32v96h64V32c0-17.7-14.3-32-32-32zM32 160c-17.7 0-32 14.3-32 32s14.3 32 32 32v32c0 77.4 55 142 128 156.8V480c0 17.7 14.3 32 32 32s32-14.3 32-32v-67.2C297 398 352 333.4 352 256v-32c17.7 0 32-14.3 32-32s-14.3-32-32-32H32z"></path></svg></span> Integration into <a href=https://github.com/huggingface/transformers/ ><img alt=🤗 class=twemoji src=https://cdn.jsdelivr.net/gh/jdecked/[email protected]/assets/svg/1f917.svg title=:hugging:>-Transformers</a> (<span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M21 16.5c0 .38-.21.71-.53.88l-7.9 4.44c-.16.12-.36.18-.57.18-.21 0-.41-.06-.57-.18l-7.9-4.44A.991.991 0 0 1 3 16.5v-9c0-.38.21-.71.53-.88l7.9-4.44c.16-.12.36-.18.57-.18.21 0 .41.06.57.18l7.9 4.44c.32.17.53.5.53.88v9M12 4.15 6.04 7.5 12 10.85l5.96-3.35L12 4.15Z"></path></svg></span> <a href=https://huggingface.co/BridgeTower>Model</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/huggingface/transformers/tree/main/src/transformers/models/bridgetower>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9h5.5L13 3.5V9M6 2h8l6 6v12a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V4c0-1.11.89-2 2-2m9 16v-2H6v2h9m3-4v-2H6v2h12Z"></path></svg></span> <a href=https://huggingface.co/docs/transformers/model_doc/bridgetower>Doc</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=https://huggingface.co/blog/bridgetower>Blog(EN)</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=https://huggingface.co/blog/zh/bridgetower>Blog(CN)</a>)</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M6.5 20q-2.28 0-3.89-1.57Q1 16.85 1 14.58q0-1.95 1.17-3.48 1.18-1.53 3.08-1.95.63-2.3 2.5-3.72Q9.63 4 12 4q2.93 0 4.96 2.04Q19 8.07 19 11q1.73.2 2.86 1.5 1.14 1.28 1.14 3 0 1.88-1.31 3.19T18.5 20Z"></path></svg></span> Demos (<span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m12 21.35-1.45-1.32C5.4 15.36 2 12.27 2 8.5 2 5.41 4.42 3 7.5 3c1.74 0 3.41.81 4.5 2.08C13.09 3.81 14.76 3 16.5 3 19.58 3 22 5.41 22 8.5c0 3.77-3.4 6.86-8.55 11.53L12 21.35Z"></path></svg></span> <a href=https://huggingface.co/spaces/juliensimon/bridgetower-demo>Image-Text Matching</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m12 21.35-1.45-1.32C5.4 15.36 2 12.27 2 8.5 2 5.41 4.42 3 7.5 3c1.74 0 3.41.81 4.5 2.08C13.09 3.81 14.76 3 16.5 3 19.58 3 22 5.41 22 8.5c0 3.77-3.4 6.86-8.55 11.53L12 21.35Z"></path></svg></span> <a href=https://huggingface.co/spaces/juliensimon/bridgetower-video-search>Video Frame Retrieval</a>)</p> </div> <div class="admonition note"> <p class=admonition-title>Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding</p> <p><strong>Xiao Xu</strong>*, Libo Qin*, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che.</p> <p><a href=https://aaai.org/Conferences/AAAI-22/ >AAAI 2022 (Oral)</a> | Association for the Advancement of Artificial Intelligence</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://ojs.aaai.org/index.php/AAAI/article/view/21411>Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2112.11953>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LooperXX/ProSLU>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=http://looperxx.github.io/blog/Profile%20SLU>Blog(CN)</a></p> </div> <div class="admonition note"> <p class=admonition-title>Semantic-Guided Image Augmentation with Pre-trained Models</p> <p>Bohan Li, <strong>Xiao Xu</strong>, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che.</p> <p><a href=https://aaai.org/aaai-conference/ >AAAI 2024</a> | Association for the Advancement of Artificial Intelligence</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2302.02070>Arxiv</a></p> </div> <div class="admonition note"> <p class=admonition-title>Modularized Pre-training for End-to-end Task-oriented Dialogue</p> <p>Libo Qin, <strong>Xiao Xu</strong>, Lehan Wang, Yue Zhang, Wanxiang Che.</p> <p><a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6570655">TASLP 2023</a> | IEEE/ACM Transactions on Audio, Speech, and Language Processing</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://ieeexplore.ieee.org/document/10043710>Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=hts://github.com/LooperXX/MPEToDs>Code</a></p> </div> <div class="admonition note"> <p class=admonition-title>AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling</p> <p>Libo Qin, <strong>Xiao Xu</strong>, Wanxiang Che, Ting Liu.</p> <p><a href=https://2020.emnlp.org/ >EMNLP 2020 (Findings)</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://www.aclweb.org/anthology/2020.findings-emnlp.163/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2004.10087>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LooperXX/AGIF>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=https://mp.weixin.qq.com/s/BtGPWtJjQ86v_CA7KF56Sw>Blog(CN)</a></p> </div> <div class="admonition note"> <p class=admonition-title>Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog</p> <p>Libo Qin, <strong>Xiao Xu</strong>, Wanxiang Che, Yue Zhang, Ting Liu.</p> <p><a href=https://acl2020.org/ >ACL 2020</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://www.aclweb.org/anthology/2020.acl-main.565/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2004.11019>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=hts://github.com/LooperXX/DF-Net>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="m15.54 3.5 4.96 4.97-1.43 1.41-4.95-4.95 1.42-1.43M3.5 19.78l6.5-6.47c-.1-.31-.03-.7.23-.96.39-.39 1.03-.39 1.42 0 .39.4.39 1.03 0 1.42-.26.26-.65.33-.96.23l-6.47 6.5 10.61-3.55 3.53-6.36-4.94-4.95-6.37 3.53L3.5 19.78Z"></path></svg></span> <a href=https://mp.weixin.qq.com/s/KRweU1FwkfaGl-hJ93yQGQ>Blog(CN)</a></p> </div> <div class="admonition note"> <p class=admonition-title>V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization</p> <p>Yuxi Xie, Guanzhen Li, <strong>Xiao Xu</strong>, Min-Yen Kan</p> <p><a href=https://2024.emnlp.org/ >EMNLP 2024 (Findings)</a> | Conference on Empirical Methods in Natural Language Processing</p> </div> <div class="admonition note"> <p class=admonition-title>Pro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding</p> <p>Dechuan Teng, Chunlin Lu, <strong>Xiao Xu</strong>, Wanxiang Che, Libo Qin.</p> <p><a href=https://2024.ieeeicassp.org/ >ICASSP 2024</a> | IEEE International Conference on Acoustics, Speech and Signal Processing</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://ieeexplore.ieee.org/document/10446254>Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2402.03900>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/AaronTengDeChuan/PRO-HAN>Code</a></p> </div> <div class="admonition note"> <p class=admonition-title>OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding</p> <p>Libo Qin, Qiguang Chen, <strong>Xiao Xu</strong>, Yunlong Feng, Wanxiang Che.</p> <p><a href=https://2023.aclweb.org/ >ACL 2023 (Demo)</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://aclanthology.org/2023.acl-demo.9/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2305.10231>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/lightchen233/openslu>Code</a></p> </div> <div class="admonition note"> <p class=admonition-title>A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding</p> <p>Wenbo Pan, Qiguang Chen, <strong>Xiao Xu</strong>, Wanxiang Che, Libo Qin.</p> <p><a href=https://arxiv.org/ >Arxiv</a> | Preprint</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2304.04256>Arxiv</a></p> </div> <div class="admonition note"> <p class=admonition-title>A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification</p> <p>Yunlong Feng, Bohan Li, Libo Qin, <strong>Xiao Xu</strong>, Wanxiang Che.</p> <p><a href=https://lrec-coling-2024.org/ >LREC-COLING</a> | The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://aclanthology.org/2024.lrec-main.156/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2304.09820>Arxiv</a></p> </div> <div class="admonition note"> <p class=admonition-title>GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling</p> <p>Libo Qin, Fuxuan Wei, Tianbao Xie, <strong>Xiao Xu</strong>, Wanxiang Che, Ting Liu.</p> <p><a href=https://2021.aclweb.org/ >ACL 2021 (Oral)</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://aclanthology.org/2021.acl-long.15/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2106.01925>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/yizhen20133868/GL-GIN>Code</a> </p> </div> <div class="admonition note"> <p class=admonition-title>COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement</p> <p>Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, <strong>Xiao Xu</strong>, Min-Yen Kan, Liangming Pan, William Yang Wang</p> <p><a href=https://arxiv.org/ >Arxiv</a> | Preprint</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2410.09675>Arxiv</a></p> </div> <div class="admonition note"> <p class=admonition-title>In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks</p> <p>Dingzirui Wang, Xuanliang Zhang, Qiguang Chen, Longxu Dou, <strong>Xiao Xu</strong>, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li</p> <p><a href=https://arxiv.org/ >Arxiv</a> | Preprint</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2410.01548>Arxiv</a></p> </div> <div class="admonition note"> <p class=admonition-title>Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement</p> <p>Yunlong Feng, Yang Xu, Dechuan Teng, Honglin Mu, <strong>Xiao Xu</strong>, Libo Qin, Wanxiang Che, Qingfu Zhu</p> <p><a href=https://2024.emnlp.org/ >EMNLP 2024 (Findings)</a> | Conference on Empirical Methods in Natural Language Processing</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2406.17233>Arxiv</a></p> </div> <div class="admonition note"> <p class=admonition-title>M<span class=arithmatex>\(^3\)</span>CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought</p> <p>Qiguang Chen, Libo Qin, Jin Zhang, Zhi Chen, <strong>Xiao Xu</strong>, Wanxiang Che</p> <p><a href=https://2024.aclweb.org/ >ACL 2024</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2405.16473>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/LightChen233/M3CoT>Code</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 3C7.58 3 4 4.79 4 7s3.58 4 8 4 8-1.79 8-4-3.58-4-8-4M4 9v3c0 2.21 3.58 4 8 4s8-1.79 8-4V9c0 2.21-3.58 4-8 4s-8-1.79-8-4m0 5v3c0 2.21 3.58 4 8 4s8-1.79 8-4v-3c0 2.21-3.58 4-8 4s-8-1.79-8-4Z"></path></svg></span> <a href=https://huggingface.co/datasets/LightChen2333/M3CoT>Dataset</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M16.36 14c.08-.66.14-1.32.14-2 0-.68-.06-1.34-.14-2h3.38c.16.64.26 1.31.26 2s-.1 1.36-.26 2m-5.15 5.56c.6-1.11 1.06-2.31 1.38-3.56h2.95a8.03 8.03 0 0 1-4.33 3.56M14.34 14H9.66c-.1-.66-.16-1.32-.16-2 0-.68.06-1.35.16-2h4.68c.09.65.16 1.32.16 2 0 .68-.07 1.34-.16 2M12 19.96c-.83-1.2-1.5-2.53-1.91-3.96h3.82c-.41 1.43-1.08 2.76-1.91 3.96M8 8H5.08A7.923 7.923 0 0 1 9.4 4.44C8.8 5.55 8.35 6.75 8 8m-2.92 8H8c.35 1.25.8 2.45 1.4 3.56A8.008 8.008 0 0 1 5.08 16m-.82-2C4.1 13.36 4 12.69 4 12s.1-1.36.26-2h3.38c-.08.66-.14 1.32-.14 2 0 .68.06 1.34.14 2M12 4.03c.83 1.2 1.5 2.54 1.91 3.97h-3.82c.41-1.43 1.08-2.77 1.91-3.97M18.92 8h-2.95a15.65 15.65 0 0 0-1.38-3.56c1.84.63 3.37 1.9 4.33 3.56M12 2C6.47 2 2 6.5 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://lightchen233.github.io/m3cot.github.io/ >Website</a></p> </div> <div class="admonition note"> <p class=admonition-title>Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System</p> <p>Libo Qin, Tianbao Xie, Shijue Huang, Qiguang Chen, <strong>Xiao Xu</strong>, Wanxiang Che.</p> <p><a href=https://2021.emnlp.org/ >EMNLP 2021 (Poster)</a> | Association for Computational Linguistics</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://aclanthology.org/2021.emnlp-main.182/ >Paper</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M3.842 0a1.004 1.004 0 0 0-.922.608c-.153.369-.044.627.294 1.111l6.919 8.36-1.023 1.106a1.04 1.04 0 0 0 .003 1.423l1.23 1.313-5.44 6.444c-.28.3-.453.823-.297 1.199a1.025 1.025 0 0 0 .959.635.913.913 0 0 0 .689-.34l5.783-6.126 7.49 8.005a.853.853 0 0 0 .684.26.958.958 0 0 0 .877-.615c.158-.377-.017-.75-.306-1.14L13.73 13.9l1.064-1.13a.963.963 0 0 0 .009-1.317L4.633.465S4.26.01 3.867 0zm0 .272h.017c.218.005.487.272.564.364l.005.006.005.005 10.17 10.99a.692.692 0 0 1-.008.946l-1.066 1.133-1.498-1.772-8.6-10.39c-.328-.472-.352-.619-.26-.841a.73.73 0 0 1 .671-.44Zm14.341 1.57a.877.877 0 0 0-.655.242l-5.696 6.158 1.694 1.832 5.309-6.514c.325-.433.479-.66.325-1.029a1.12 1.12 0 0 0-.977-.689zm-7.655 12.282 1.318 1.414-5.786 6.13a.65.65 0 0 1-.496.26.752.752 0 0 1-.706-.467c-.112-.269.036-.687.244-.909l.005-.005.005-.006z"></path></svg></span> <a href=https://arxiv.org/abs/2109.11292>Arxiv</a> | <span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"></path></svg></span> <a href=https://github.com/yizhen20133868/ci-tod>Code</a> </p> </div> <div class="admonition note"> <p class=admonition-title>IPGAN: Generating Informative Item Pairs by Adversarial Sampling</p> <p>Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, <strong>Xiao Xu</strong>, Xu Chen, Zhenhua Dong, and Xiuqiang He.</p> <p><a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5962385">TNNLS 2022</a> | IEEE Transactions on Neural Networks and Learning Systems</p> <p><span class=twemoji><svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 9V3.5L18.5 9M6 2c-1.11 0-2 .89-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8l-6-6H6Z"></path></svg></span> <a href=https://ieeexplore.ieee.org/abstract/document/9240960>Paper</a></p> </div> <h3 id=services>Services<a class=headerlink href=#services title="Permanent link">¶</a></h3> <ul> <li>Conference Reviewer: ACL 2023, AAAI 2023, EMNLP 2022 & 2023, NLPCC 2022 & 2023.</li> <li>Community: MLNLP-2022 Outstanding Organizer.</li> </ul> <h3 id=awards>Awards<a class=headerlink href=#awards title="Permanent link">¶</a></h3> <ul> <li>Ph.D. National Scholarship, 2023.</li> <li>Ph.D. China Scholarship Council (CSC) Scholarship, 2023.</li> <li>Stars of Tomorrow Internship Award of Microsoft Research Asia, 2023.</li> <li>Mathematical Contest In Modeling - Meritorious Winner, 2019.</li> <li>B.E. National Encouragement Scholarship, 2019.</li> <li>B.E. National Scholarship, 2018.</li> <li>B.E. National Scholarship, 2017.</li> <li>Top Ten Campus Singers of Northeastern University (Hunnan), 2017.</li> <li>Top Ten Campus Singers of Northeastern University (Hunnan), 2016.</li> </ul> <h3 id=experiences>Experiences<a class=headerlink href=#experiences title="Permanent link">¶</a></h3> <p><a class=glightbox data-desc-position=bottom data-height=auto data-type=image data-width=100% href=imgs/msra.png><img align=left alt=MSRA src=imgs/msra.png width=200px></a></p> <p><strong>Microsoft Research Asia, Beijing, China</strong></p> <ul> <li>Research Intern at <a href=https://www.microsoft.com/en-us/research/group/natural-language-computing/ >Natural Language Computing Group</a></li> <li>2022.01 - 2023.01</li> <li>Supervisor: <a href=https://nanduan.github.io/ >Dr. Nan Duan</a> and <a href=https://chenfei-wu.github.io/ >Dr. Chenfei Wu</a></li> </ul> <h3 id=education>Education<a class=headerlink href=#education title="Permanent link">¶</a></h3> <p><a class=glightbox data-desc-position=bottom data-height=auto data-type=image data-width=100% href=imgs/hit_high.png><img align=left alt=HIT src=imgs/hit_high.png width=130px></a></p> <p><strong>Harbin Institute of Technology (HIT), Harbin, China</strong></p> <ul> <li>Ph.D. in Computer Science</li> <li>2020.09 - 2025.06 (Expected)</li> <li>Supervisors: <a href=http://ir.hit.edu.cn/~car/ >Prof. Wanxiang Che</a> and <a href=https://faculty.csu.edu.cn/qinlibo/ >Prof. Libo Qin</a></li> </ul> <p style="line-height: 0.5"><br></p> <p><a class=glightbox data-desc-position=bottom data-height=auto data-type=image data-width=100% href=imgs/nus_logo_full-vertical.jpg><img align=left alt=NUS src=imgs/nus_logo_full-vertical.jpg width=130px></a></p> <p><strong>National University of Singapore (NUS), Singapore</strong></p> <ul> <li>Visiting Student of <a href=https://wing.comp.nus.edu.sg/ >WING Group</a></li> <li>2023.10 - 2024.10</li> <li>Supervisor: <a href=https://www.comp.nus.edu.sg/~kanmy/ >Prof. Min-Yen Kan</a></li> </ul> <p style="line-height: 1.5"><br></p> <p><a class=glightbox data-desc-position=bottom data-height=auto data-type=image data-width=100% href=imgs/neu.png><img align=left alt=NEU src=imgs/neu.png width=130px></a></p> <p><strong>Northeastern University (NEU), Shenyang, China</strong></p> <ul> <li>B.S. in Software Engineering</li> <li>2016.09 - 2020.06</li> </ul> <p style="line-height: 0.5"><br></p> <hr> <script id=clustrmaps src="//cdn.clustrmaps.com/map_v2.js?cl=ffffff&w=500&t=t&d=ZIBBK0cZTCXrYK9BBUt8NGZTNn5vMONdisbWeEE5G94" type=text/javascript></script> </article> </div> </div> <button class="md-top md-icon" data-md-component=top hidden type=button> <svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8v12Z"></path></svg> 回到页面顶部 </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright © 2019 - 2022; Xiao Xu </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ rel=noopener target=_blank> Material for MkDocs </a> </div> <div class=md-social> <a class=md-social__link href=https://github.com/looperXX rel=noopener target=_blank title=github.com> <svg viewbox="0 0 480 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 6.4.2 by @fontawesome - 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