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<html><head><meta http-equiv="Content-Type" content="text/html; charset=GBK"/>
<title>Biography | Lidong Bing (邴立东)</title>
<link rel="stylesheet" type="text/css" href="style.css"/>
</head>
<body bgcolor="white">
<h3><hr color="#666699" noshade="noshade" size="2"/>Lidong Bing (邴立东)</h3>
<table>
<tbody>
<tr>
<td>
<img style="height: 400px;" align="left" src="./img/bing_australia.jpg" alt="Picture of Lidong Bing"/>
</td>
<td>
<p>
<font size="6.5" color="#FF4500">
<b>JOB OPENINGS NOW!!</b> (<i>Updated in Oct. 2023</i>): <br/> (1) Full-time positions for both
<i>fresh graduates</i> (<a href="https://talent-holding.alibaba.com/campus/position-detail?bgCode=YKCNU1&lang=zh&positionId=2020697" target="_blank">NLP</a>,
<a href="https://talent-holding.alibaba.com/campus/position-detail?bgCode=YKCNU1&lang=zh&positionId=2024103" target="_blank">multimodality</a>) and
<i>experienced candidates</i> (<a href="https://talent-holding.alibaba.com/off-campus/position-detail?lang=zh&positionId=1033435&track_id=SSP1697883314282SyjhtFsJyZ4317" target="_blank">NLP</a>,
<a href="https://talent-holding.alibaba.com/off-campus/position-detail?lang=zh&positionId=1032935&track_id=SSP1697883314282jteAyZHEFd7386" target="_blank">multimodality</a>) <br/>
(2) For intern positions, send your CV to binglidong [at] gmail [dot] com and l.bing [at] alibaba-inc [dot] com <br/>
(3) Base locations: China (Beijing, Hangzhou), Singapore
</font>
</p>
</td>
</tr></tbody></table>
<!--
<h3 class="title">Postdoc </h3>
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<p>
8133 Gates Building,
<a href="http://www.ml.cmu.edu/" target="_blank">Machine
Learning Department</a>, <a href="http://www.cmu.edu/" target="_blank">Carnegie Mellon
University</a> <br/>
5000 Forbes Avenue, Pittsburgh, PA 15213
</p>
<p>
<img valign="bottom" src="./img/ee_mmaill.gif" height="25"/>:
lbing<img valign="bottom" src="./img/a_a_t_t.gif" height="15" width="15"/>cs.cmu.edu;
binglidong<img valign="bottom" src="./img/a_a_t_t.gif" height="15" width="15"/>gmail.com</p>
</font>
-->
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<a href="#Publications">Publication</a> |
<a href="#Talks">Talk</a> |
<a href="#Codes">Code</a> |
<a href="#Datasets">Dataset</a> |
<a href="#Professional_Activities">Professional Service</a>
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<h3><a name="Biography"></a><hr color="#666699" noshade="noshade" size="2"/>Biography</h3>
<font size="3.5">
<p>
Lidong Bing is the director of the Language Technology Lab at DAMO Academy of Alibaba Group.
He received a Ph.D. from The Chinese University of Hong Kong and was a postdoc research fellow at Carnegie Mellon University.
His research interests include various low-resource and multilingual NLP problems, large language models and their applications, etc.
Currently, he is serving as an Action Editor for Transactions of the Association for Computational Linguistics (TACL) and ACL Rolling Review (ARR),
as well as Area Chair for AI conferences and Associate Editor for AI journals.
</p>
<p>
[<img valign="bottom" src="./img/ee_mmaill.gif" height="25"/>:
l.bing<img valign="bottom" src="./img/a_a_t_t.gif" height="15" width="15"/>alibaba-inc.com;
binglidong<img valign="bottom" src="./img/a_a_t_t.gif" height="15" width="15"/>gmail.com]
<a href="LidongBing_CV.pdf" target="_blank">[CV in PDF]</a>
</p>
</font>
<br/>
<h3><a name="News"></a><hr color="#666699" noshade="noshade" size="2"/>News</h3>
<p><font size="3.5">
<ul>
<li>
Nov 2023. We released an LLM, named SeaLLLMs (<a href="https://arxiv.org/abs/2312.00738">Paper</a> <a href="https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b">DEMO</a>), which has quite good capabilities for the languages in Southeast Asia. </li>
<li>
Nov 2023. We proposed <a href="https://arxiv.org/abs/2311.09277">Contrastive Chain-of-Thought Prompting</a>, which for the first time explores whether LLMs can also learn from the invalid chain of thought. </li>
<li>
Oct 2023. Seven papers were accepted at <a href="https://2023.emnlp.org/">EMNLP 2023</a>. </li>
<li>
Sep 2023. Two papers were accepted at <a href="https://nips.cc/">NeurIPS 2023</a>. </li>
<li>
June 2023. Serve as an AC of <a href="https://2023.emnlp.org/">EMNLP 2023</a> for the theme track: Large Language Models and the Future of NLP. </li>
<li>
May 2023. 17 papers were accepted at <a href="https://2023.aclweb.org/">ACL 2023</a>, 10 at the main conference, and 7 at the findings. </li>
<li>
Dec 2022. Invited to serve as an AC of <a href="https://2023.aclweb.org/">ACL 2023</a>. </li>
<!--<li>
Oct 2022. Eight papers were accepted at the main conference of <a href="https://2022.emnlp.org/">EMNLP 2022</a>. </li>
<li>
Sep 2022. Three papers were accepted at <a href="https://coling2022.org/">COLING 2022</a> main conference. </li>
<li>
April 2022. Invited to serve as an Action Editor for <a href="https://transacl.org/ojs/index.php/tacl/index">TACL</a>. </li>
<li>
Feb 2022. Six papers were accepted at <a href="https://2022.aclweb.org/">ACL 2022</a>, 3 at the main conference and 3 at the findings. </li>
<li>
Oct 2021. Invited to serve as an Action Editor for <a href="https://aclrollingreview.org/">ACL Rolling Review</a>. </li>
<li>
Aug 2021. Four papers were accepted at <a href="https://2021.emnlp.org/">EMNLP 2021</a>, 2 at the main conference and 2 at the findings. </li>
<li>
May 2021. Seven papers were accepted at <a href="https://2021.aclweb.org/">ACL 2021</a> main conference. </li>
<li>
April 2021. Invited to serve as an AC of <a href="https://2021.emnlp.org/">EMNLP 2021</a> for the Sentiment Analysis, Stylistic Analysis, and Argument Mining track. </li>
<li>
Jan 2021. Invited to serve as a Social Media Co-Chair of <a href="https://2021.aclweb.org/">ACL 2021</a>. </li>
<li>
Nov 2020. Invited to serve as an AC of <a href="https://2021.aclweb.org/">ACL 2021</a> for the Sentiment Analysis, Stylistic Analysis, and Argument Mining track. </li>
<li>
Sep 2020. Ten papers were accepted at <a href="https://2020.emnlp.org/">EMNLP 2020</a>, 9 at the main conference, 1 at the findings. </li>
<li>
Sep 2020. One paper was accepted at <a href="https://coling2020.org/">COLING 2020</a> and one paper was accetped at <a href="http://aacl2020.org/">AACL 2020</a>. </li>
<li>
Apr 2020. Two papers were accepted at <a href="https://acl2020.org/">ACL 2020</a> and one paper was accetped at <a href="https://www.ijcai20.org/">IJCAI 2020</a>. </li>
<li>
Nov 2019. Four papers were accepted at <a href="https://aaai.org/Conferences/AAAI-20/">AAAI 2020</a>. </li>
<li>
Aug 2019. Eight papers were accepted at <a href="https://www.emnlp-ijcnlp2019.org/">EMNLP 2019</a>. </li>
<li>
May 2019. One paper was accetped at <a href="https://www.ijcai19.org/">IJCAI 2019</a>. </li>
<li>
January 2019, I gave a talk on "Text Generation, Editing and Summarization" at the National University of Singapore, here is <a href="pub/TextGeneration_NUS_2019-Jan-18_v2.pdf">the slides</a>.
</li>
<li>
January 2019. One paper was accetped at <a href="https://www2019.thewebconf.org/">WWW 2019</a>.
</li>-->
</ul>
</font>
</p>
<h3><a name="Publications"></a><hr color="#666699" noshade="noshade" size="2"/>Publication
(<a href="https://github.com/DAMO-NLP-SG">Group GitHub</a>,
<a href="https://scholar.google.com/citations?user=_oYzrzAAAAAJ&hl=en"> Google Scholar</a>,
<a href="http://dblp.uni-trier.de/pers/hd/b/Bing:Lidong"> DBLP</a>) </h3>
<ul>
<li>
<p> <font size="3.5"><b>SeaLLMs -- Large Language Models for Southeast Asia </b>
<a href="https://arxiv.org/abs/2312.00738">[paper]</a>
<a href="https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b">[demo]</a>
<a href="https://github.com/DAMO-NLP-SG/SeaLLMs">[code]</a>.
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing.
<i>Preprint arXiv:2312.00738</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Contrastive Chain-of-Thought Prompting </b>
<a href="https://arxiv.org/abs/2311.09277">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/contrastive-cot">[code]</a>.
Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing.
<i>Preprint arXiv:2311.09277</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding </b>
<a href="https://arxiv.org/abs/2311.16922">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/VCD">[code]</a>.
Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing.
<i>Preprint arXiv:2311.16922</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>CLEX: Continuous Length Extrapolation for Large Language Models </b>
<a href="https://arxiv.org/abs/2310.16450">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/CLEX">[code]</a>.
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing.
<i>Preprint arXiv:2310.16450</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs </b>
<a href="https://arxiv.org/abs/2311.09802">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/CaRing">[code]</a>.
Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam.
<i>Preprint arXiv:2311.09802</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning </b>
<a href="https://arxiv.org/abs/2311.09821">[paper]</a>
<a href="https://lidongbing.github.io/">[code]</a>.
Qingyu Tan, Hwee Tou Ng, Lidong Bing.
<i>Preprint arXiv:2311.09821</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Exploring the Potential of Large Language Models in Computational Argumentation </b>
<a href="https://arxiv.org/abs/2311.09022">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/LLM-argumentation">[code]</a>.
Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing
<i>Preprint arXiv:2311.09022</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models </b>
<a href="https://arxiv.org/abs/2310.10962">[paper]</a>
<a href="https://lidongbing.github.io/">[code]</a>.
Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing.
<i>Preprint arXiv:2310.10962</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Multilingual Jailbreak Challenges in Large Language Models </b>
<a href="https://arxiv.org/abs/2310.06474">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/multilingual-safety-for-LLMs">[code]</a>.
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing.
<i>Preprint arXiv:2310.06474</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding </b>
<a href="https://arxiv.org/abs/2306.02858">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/Video-LLaMA">[code]</a>
<a href="https://huggingface.co/spaces/DAMO-NLP-SG/Video-LLaMA">[demo (Hugging Face)]</a>
<a href="https://www.modelscope.cn/studios/damo/video-llama/summary">[demo (ModelScope)]</a>
<a href="https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-Series">[checkpoints]</a>.
Hang Zhang, Xin Li, Lidong Bing.
<i>Demo Track of The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'23 Demo</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning </b>
<a href="https://lidongbing.github.io/">[paper]</a> <a href="https://lidongbing.github.io/">[code]</a>.
Sen Yang, Xin Li, Lidong Bing, Wai Lam.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models </b>
<a href="https://arxiv.org/abs/2304.01933">[paper]</a> <a href="https://github.com/AGI-Edgerunners/LLM-Adapters">[code]</a>.
Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>SOUL: Towards Sentiment and Opinion Understanding of Language </b>
<a href="https://lidongbing.github.io/">[paper]</a> <a href="https://lidongbing.github.io/">[code]</a>.
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Is GPT-4 a Good Data Analyst? </b>
<a href="https://arxiv.org/abs/2305.15038">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/GPT4-as-DataAnalyst">[code]</a>.
Liying Cheng, Xingxuan Li, Lidong Bing.
<i>Findings of The Conference on Empirical Methods in Natural Language Processing (<b>Findings of EMNLP'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization </b>
<a href="https://arxiv.org/abs/2305.13091">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/LLM_summeval">[code]</a>.
Chenhui Shen, Liying Cheng, Yang You, Xuan-Phi Nguyen, Lidong Bing.
<i>Findings of The Conference on Empirical Methods in Natural Language Processing (<b>Findings of EMNLP'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization </b>
<a href="https://arxiv.org/abs/2305.08503">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/HierEncDec">[code]</a>.
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing.
<i>Findings of The Conference on Empirical Methods in Natural Language Processing (<b>Findings of EMNLP'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models </b>
<a href="https://arxiv.org/abs/2306.05179">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/M3Exam">[code]</a>.
Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing.
<i>Advances in Neural Information Processing Systems 36 (<b>NeurIPS'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine Reader </b>
<a href="https://arxiv.org/abs/2212.04755">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/PMR">[code]</a>.
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing.
<i>Advances in Neural Information Processing Systems 36 (<b>NeurIPS'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts </b>
<a href="https://arxiv.org/abs/2306.11372">[paper]</a> <a href="https://lidongbing.github.io/">[code]</a>.
Xuan-Phi Nguyen, Sharifah Mahani Aljunied, Shafiq Joty, Lidong Bing.
<i>Preprint arXiv:2306.11372</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models </b>
<a href="https://arxiv.org/abs/2306.04757">[paper]</a> <a href="https://github.com/declare-lab/instruct-eval">[code]</a>.
Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria.
<i>Preprint arXiv:2306.04757</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources </b>
<a href="https://arxiv.org/abs/2305.13269">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/chain-of-knowledge">[code]</a>.
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing.
<i>Preprint arXiv:2305.13269</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Unlocking Temporal Question Answering for Large Language Models Using Code Execution </b>
<a href="https://arxiv.org/abs/2305.15014">[paper]</a> <a href="https://github.com/DAMO-NLPSG/code-temporal">[code]</a>.
Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing.
<i>Preprint arXiv:2305.15014</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Sentiment Analysis in the Era of Large Language Models: A Reality Check </b>
<a href="https://arxiv.org/abs/2305.15005">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/LLM-Sentiment">[code]</a>.
Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing.
<i>Preprint arXiv:2305.15005</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction </b>
<a href="https://arxiv.org/abs/2305.14434">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/domain-expanded-aste">[code]</a>.
Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing.
<i>Preprint arXiv:2305.14434</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Enhancing Few-shot NER with Prompt Ordering based Data Augmentation </b>
<a href="https://arxiv.org/abs/2305.11791">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/PODA-NER">[code]</a>.
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing.
<i>Preprint arXiv:2305.11791</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines </b>
<a href="https://arxiv.org/abs/2304.11076">[paper]</a> [blog article
<a href="https://zhuanlan.zhihu.com/p/605915549"> (ZH)</a>,
<a href="https://dev.to/ruochenzhao3/can-chatgpt-like-generative-models-guarantee-factual-accuracy-on-the-mistakes-of-microsofts-new-bing-111b">(EN)</a>].
Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing. <i>Preprint arXiv:2304.11076</i>, 2023.
<i>Follow-up reports by <a href="https://www.cnn.com/2023/02/14/tech/microsoft-bing-ai-errors/index.html">CNN</a>,
<a href="https://www.cnbc.com/2023/02/14/microsoft-bing-ai-made-several-errors-in-launch-demo-last-week-.html">CNBC</a>,
<a href="https://fortune.com/2023/02/15/microsoft-bing-ai-errors-demo-google-bard-chatgpt/">FORTUNE, </a></i>etc.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>mPMR: A Multilingual Pre-trained Machine Reader at Scale </b>
<a href="https://aclanthology.org/2023.acl-short.131.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/PMR">[code]</a>.
Weiwen Xu, Xin Li, Wai Lam, Lidong Bing.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks </b>
<a href="https://aclanthology.org/2023.acl-long.484.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/PeerDA">[code]</a>.
Weiwen Xu, Xin Li, Yang Deng, Lidong Bing, Wai Lam.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling </b>
<a href="https://aclanthology.org/2023.acl-long.823.pdf">[paper]</a> <a href="https://github.com/ChocoWu/MRE-ISE">[code]</a>.
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Reasoning Implicit Sentiment with Chain-of-Thought Prompting </b>
<a href="https://aclanthology.org/2023.acl-short.101.pdf">[paper]</a> <a href="https://github.com/scofield7419/THOR-ISA">[code]</a>.
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework </b>
<a href="https://aclanthology.org/2023.acl-long.320.pdf">[paper]</a> <a href="https://github.com/RuochenZhao/Verify-and-Edit">[code]</a>.
Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations </b>
<a href="https://aclanthology.org/2023.acl-long.264.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/MVCR">[code]</a>.
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Is GPT-3 a Good Data Annotator? </b>
<a href="https://aclanthology.org/2023.acl-long.626.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/LLM-Data-Annotator">[code]</a>.
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning </b>
<a href="https://aclanthology.org/2023.acl-long.222.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/ContProto">[code]</a>.
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis </b>
<a href="https://aclanthology.org/2023.acl-long.686.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/BGCA">[code]</a>.
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models </b>
<a href="https://aclanthology.org/2023.acl-long.828.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/TempReason">[code]</a>.
Qingyu Tan, Hwee Tou Ng, Lidong Bing.
<i>The 61th Annual Meeting of the Association for Computational Linguistics (ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data </b>
<a href="https://aclanthology.org/2023.findings-acl.549/">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/CAST">[code]</a>.
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Easy-to-Hard Learning for Information Extraction </b>
<a href="https://aclanthology.org/2023.findings-acl.754.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/IE-E2H">[code]</a>.
Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach </b>
<a href="https://aclanthology.org/2023.findings-acl.59.pdf">[paper]</a> <a href="https://github.com/guojiapub/QuadTAG">[code]</a>.
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Sampling Better Negatives for Distantly Supervised Named Entity Recognition </b>
<a href="https://aclanthology.org/2023.findings-acl.300.pdf">[paper]</a> <a href="https://github.com/xuuuluuu/ds_ner">[code]</a>.
Lu Xu, Lidong Bing, Wei Lu.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Zero-Shot Text Classification via Self-Supervised Tuning </b>
<a href="https://aclanthology.org/2023.findings-acl.110.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/SSTuning">[code]</a>.
Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip Hong Chang, Lidong Bing.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction </b>
<a href="https://aclanthology.org/2023.findings-acl.106.pdf">[paper]</a>.
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Enhancing Cross-lingual Prompting with Dual Prompt Augmentation </b>
<a href="https://aclanthology.org/2023.findings-acl.700.pdf">[paper]</a> <a href="https://github.com/DAMO-NLP-SG/DPA">[code]</a>.
Meng Zhou, Xin Li, Yue Jiang, Lidong Bing.
<i>Findings of The 61th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'23)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>On the Effectiveness of Parameter-Efficient Fine-Tuning </b>
<a href="https://arxiv.org/abs/2211.15583">[paper]</a> <a href="https://github.com/fuzihaofzh/AnalyzeParameterEfficientFinetune">[code]</a>.
Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier.
<i>The AAAI Conference on Artificial Intelligence (<b>AAAI'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction </b>
<a href="https://arxiv.org/abs/2304.00824">[paper]</a> <a href="https://github.com/guojiapub/PEMSCL">[code]</a>.
Jia Guo, Stanley Kok, Lidong Bing.
<i>The 17th Annual Meeting of the European chapter of the Association for Computational Linguistics (<b>EACL'23</b>)</i>, 2023.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges </b>
<a href="https://arxiv.org/abs/2203.01054">[paper]</a> <a href="https://github.com/IsakZhang/ABSA-Survey">[resources]</a>.
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam.
<i>IEEE Transactions on Knowledge and Data Engineering (TKDE)</i>, Dec 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective </b>
<a href="https://arxiv.org/abs/2212.10529">[paper]</a>.
Xingxuan Li, Yutong Li, Linlin Liu, Shafiq Joty, Lidong Bing.
<i>Preprint arXiv:2212.10529</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation </b>
<a href="https://aclanthology.org/2022.emnlp-main.433/">[paper]</a> <a href="https://github.com/jcyk/MSE-AMR">[code & data]</a>.
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach </b>
<a href="https://aclanthology.org/2022.emnlp-main.688/">[paper]</a> <a href="https://github.com/declare-lab/HyperRED">[code & data]</a>.
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples </b>
<a href="https://aclanthology.org/2022.emnlp-main.462/">[paper]</a> <a href="https://github.com/ntunlp/kmlm">[code & data]</a>.
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Jotym, Luo Si.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions </b>
<a href="https://aclanthology.org/2022.emnlp-main.686/">[paper]</a> <a href="https://github.com/jhliu17/MCR">[data]</a>.
Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>SentBS: Sentence-level Beam Search for Controllable Summarization </b>
<a href="https://aclanthology.org/2022.emnlp-main.699/">[paper]</a> <a href="https://github.com/Shen-Chenhui/SentBS">[code & data]</a>.
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Revisiting DocRED – Addressing the False Negative Problem in Relation Extraction </b>
<a href="https://aclanthology.org/2022.emnlp-main.580/">[paper]</a> <a href="https://github.com/tonytan48/Re-DocRED">[code & data]</a>.
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Interventional Training for Out-Of-Distribution Natural Language Understanding</b>
<a href="https://aclanthology.org/2022.emnlp-main.799/">[paper]</a> <a href="https://github.com/PluviophileYU/BAI">[code & data]</a>.
Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>ConNER: Consistency Training for Cross-lingual Named Entity Recognition </b>
<a href="https://aclanthology.org/2022.emnlp-main.577/">[paper]</a> <a href="https://github.com/RandyZhouRan/ConNER">[code & data]</a>.
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning </b>
<a href="https://aclanthology.org/2022.coling-1.499/">[paper]</a>
<a href="https://github.com/declare-lab/SANCL">[code & data]</a>.
Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing.
<i>The 29th International Conference on Computational Linguistics (<b>COLING'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings </b>
<a href="https://aclanthology.org/2022.coling-1.386/">[paper]</a>
<a href="https://github.com/ntunlp/multisense_embedding_alignment">[code & data]</a>.
Linlin Liu, Thien Hai Nguyen, Shafiq Joty, Lidong Bing, Luo Si.
<i>The 29th International Conference on Computational Linguistics (<b>COLING'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning </b>
<a href="https://aclanthology.org/2022.coling-1.602/">[paper]</a>
<a href="https://github.com/tonytan48/MSCL">[code & data]</a>.
Qingyu Tan, Ruidan He, Hwee Tou Ng, Lidong Bing.
<i>The 29th International Conference on Computational Linguistics (<b>COLING'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks </b>
<a href="https://aclanthology.org/2022.acl-long.162/">[paper]</a> <a href="https://github.com/LiyingCheng95/IAM">[code & data]</a>.
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si.
<i>The 60th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems </b>
<a href="https://aclanthology.org/2022.acl-long.115/">[paper]</a> <a href="https://ntunlpsg.github.io/project/globalwoz/">[code & data]</a>.
Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq Joty, Luo Si, Chunyan Miao.
<i>The 60th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER </b>
<a href="https://aclanthology.org/2022.acl-long.160/">[paper]</a> <a href="https://github.com/RandyZhouRan/MELM/">[code & data]</a>.
Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao.
<i>The 60th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction </b>
<a href="https://aclanthology.org/2022.findings-acl.5/">[paper]</a> <a href="https://github.com/declare-lab/RelationPrompt">[code & data]</a>.
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si.
<i>Findings of The 60th Annual Meeting of the Association for Computational
Linguistics (<b>Findings of ACL'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>MReD: A Meta-Review Dataset for Structure-Controllable Text Generation </b>
<a href="https://aclanthology.org/2022.findings-acl.198/">[paper]</a> <a href="https://github.com/Shen-Chenhui/MReD">[code & data]</a>.
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si.
<i>Findings of The 60th Annual Meeting of the Association for Computational
Linguistics (<b>Findings of ACL'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation </b>
<a href="https://aclanthology.org/2022.findings-acl.132/">[paper]</a> <a href="https://github.com/tonytan48/KD-DocRE">[code & data]</a>.
Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng.
<i>Findings of The 60th Annual Meeting of the Association for Computational
Linguistics (<b>Findings of ACL'22</b>)</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Informative Text Generation from Knowledge Triples </b>
<a href="https://arxiv.org/abs/2209.12733">[paper]</a>.
Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam.
<i>Preprint arXiv:2209.12733</i>, 2022.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching </b>
<a href="https://aclanthology.org/2021.emnlp-main.727/">[paper]</a> <a href="https://github.com/isakzhang/xabsa">[code & data]</a>.
Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Aspect Sentiment Quad Prediction as Paraphrase Generation </b>
<a href="https://aclanthology.org/2021.emnlp-main.726/">[paper]</a> <a href="https://github.com/isakzhang/absa-quad">[code & data]</a>.
Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam.
<i>The Conference on Empirical Methods in Natural Language Processing (<b>EMNLP'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Multilingual AMR Parsing with Noisy Knowledge Distillation </b>
<a href="https://aclanthology.org/2021.findings-emnlp.237/">[paper]</a> <a href="https://github.com/jcyk/XAMR">[code & data]</a>.
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam.
<i>Findings of The Conference on Empirical Methods in Natural Language Processing (<b>Findings of EMNLP'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Aspect-based Sentiment Analysis in Question Answering Forums </b>
<a href="https://aclanthology.org/2021.findings-emnlp.390/">[paper]</a> <a href="https://github.com/isakzhang/absa-qa">[code]</a>.
Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam.
<i>Findings of The Conference on Empirical Methods in Natural Language Processing (<b>Findings of EMNLP'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding </b>
<a href="https://aclanthology.org/2021.acl-long.496/">[paper]</a>
<a href="https://github.com/TianyuTerry/MLMC">[code & data]</a>.
Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation </b>
<a href="https://aclanthology.org/2021.acl-long.172/">[paper]</a>. Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jiawei Low, Lidong Bing, Luo Si.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER </b>
<a href="https://aclanthology.org/2021.acl-long.453/">[paper]</a>
<a href="https://github.com/ntunlp/mulda">[code & data]</a>
. Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq Joty, Luo Si, Chunyan Miao.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews </b>
<a href="https://aclanthology.org/2021.acl-long.461/">[paper]</a>
<a href="https://github.com/jhliu17/MCR">[code & data]</a>.
Junhao Liu, Zhen Hai, Min Yang, Lidong Bing.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction </b>
<a href="https://aclanthology.org/2021.acl-long.367/">[paper]</a>
<a href="https://github.com/chiayewken/Span-ASTE">[code & data]</a>.
Lu Xu, Yew Ken Chia, Lidong Bing.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Bootstrapped Unsupervised Sentence Representation Learning </b>
<a href="https://aclanthology.org/2021.acl-long.402/">[paper]</a>
<a href="https://github.com/yanzhangnlp/BSL">[code & data]</a>.
Yan Zhang, Ruidan He, Zouzhu Liu, Lidong Bing, Haizhou Li.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5">
<b>Towards Generative Aspect-Based Sentiment Analysis </b>
<a href="https://aclanthology.org/2021.acl-short.64/">[paper]</a>
<a href="https://github.com/IsakZhang/Generative-ABSA">[code & data]</a>.
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam.
<i>The 59th Annual Meeting of the Association for Computational
Linguistics (<b>ACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Better Feature Integration for Named Entity Recognition </b>
<a href="https://aclanthology.org/2021.naacl-main.271/">[paper]</a>
<a href="https://github.com/xuuuluuu/SynLSTM-for-NER">[code & data]</a>.
Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing.
<i>Annual Conference of the North American Chapter of the Association for Computational Linguistics (<b>NAACL'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning </b>
<a href="https://ojs.aaai.org/index.php/AAAI/article/view/17615">[paper]</a>.
Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu.
<i>The AAAI Conference on Artificial Intelligence (<b>AAAI'21</b>)</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Harvest Shopping Advice: Neural Question Generation from Multiple Information Sources in E-commerce </b>
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0925231220318944">[paper]</a>. Yongzhen Wang, Kaisong Song, Lidong Bing, and Xiaozhong Liu.
<i>Neurocomputing</i>, 2021.<br/></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Affect Recognition for Multimodal Natural Language Processing </b>
<a href="https://dl.acm.org/doi/10.1145/3404970/">[paper]</a>. Soujanya Poria, Ong Yew Soon, Bing Liu, Lidong Bing.
<i>Cognitive Computation</i>, 2021.<br/></font>