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<!DOCTYPE html>
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<h2 id="l.bing">Lidong Bing <span style="font-family:STFangsong">(邴立东)</span></h2>
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<br>Office: UBIX, 25 Ubi Rd 4, Singapore <code class="language-plaintext highlighter-rouge">AND</code> No. 356 Guoshoujing Road, Shanghai
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- We especially encourage candidates with experience in AI and brain science to apply. <br>
- Base locations: Singapore, Shanghai, Beijing, USA. <br>
- Send your CV to the above email addresses.
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<h3 id="Publications">Full Publications (<a href="./index.html#Publications">Selected List</a>,
<a href="https://github.com/DAMO-NLP-SG">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/spaces/SeaLLMs/SeaLLM-7B-v2.5">[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>ACL</i>, 2024.<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>.
Xuan-Phi Nguyen, Sharifah Mahani Aljunied, Shafiq Joty, Lidong Bing.
<i>ACL</i>, 2024.<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, Anh Tuan Luu, Lidong Bing.
<i>ACL</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns </b>
<a href="https://arxiv.org/abs/2403.13315">[paper]</a>
<a href="https://github.com/declare-lab/LLM-PuzzleTest">[code]</a>.
Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria.
<i>ACL</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition </b>
<a href="https://lidongbing.github.io/">[paper]</a>.
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing.
<i>ACL</i>, 2024.<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>.
Qingyu Tan, Hwee Tou Ng, Lidong Bing.
<i>ACL</i>, 2024.<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>CVPR</i>, 2024.<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>ICLR</i>, 2024.<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>ICLR</i>, 2024.<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>ICLR</i>, 2024.<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>NAACL</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning </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>NAACL</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions </b>
<a href="https://arxiv.org/abs/2405.20267">[paper]</a>
<a href="https://auto-arena.github.io/">[web site]</a>
<a href="https://huggingface.co/spaces/Auto-Arena/Leaderboard">[leaderboard]</a>
<a href="https://github.com/DAMO-NLP-SG/Auto-Arena-LLMs">[code]</a>.
Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Deli Zhao, Lidong Bing.
<i>Preprint arXiv:2405.20267</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs </b>
<a href="https://arxiv.org/abs/2406.07476">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/VideoLLaMA2">[code]</a>.
Zesen Cheng, Sicong Leng, Hang Zhang, Yifei Xin, Xin Li, Guanzheng Chen, Yongxin Zhu, Wenqi Zhang, Ziyang Luo, Deli Zhao, Lidong Bing.
<i>Preprint arXiv:2406.07476</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency </b>
<a href="https://arxiv.org/abs/2404.12872">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/LLM-R2">[code]</a>.
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing.
<i>Preprint arXiv:2404.12872</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>How do Large Language Models Handle Multilingualism? </b>
<a href="https://arxiv.org/abs/2402.18815">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/">[code]</a>.
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing.
<i>Preprint arXiv:2402.18815</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Evaluating Psychological Safety of Large Language Models </b>
<a href="https://arxiv.org/abs/2212.10529">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/">[code]</a>.
Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing.
<i>Preprint arXiv:2212.10529</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging </b>
<a href="https://arxiv.org/abs/2402.18913">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/AdaMergeX">[code]</a>.
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing.
<i>Preprint arXiv:2402.18913</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>ParaICL: Towards Robust Parallel In-Context Learning </b>
<a href="https://arxiv.org/abs/2404.00570">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/">[code]</a>.
Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing.
<i>Preprint arXiv:2404.00570</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Is translation all you need? a study on solving multilingual tasks with large language models </b>
<a href="https://arxiv.org/abs/2403.10258">[paper]</a>
<a href="https://github.com/DAMO-NLP-SG/">[code]</a>.
Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing.
<i>Preprint arXiv:2403.10258</i>, 2024.<br></font>
</p>
</li>
<li>
<p> <font size="3.5"><b>Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models </b>
<a href="https://arxiv.org/abs/2406.17294">[paper]</a>
<a href="https://github.com/HZQ950419/Math-LLaVA">[code]</a>.
Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee.
<i>Preprint arXiv:2406.17294</i>, 2024.<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>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>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>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>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>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>