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<title>Dongfang Li's Homepage</title>
<meta content="Dongfang Li, crazyofapple.github.io, crazyofapple" name="keywords" />
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<div style="margin: 0px auto; width: 100%;"><img class="pic" src="misc/personal.jpg" border="0" title="To be appeared" />
<div style="padding-left: 0em; vertical-align: top; height: 90px;">
<span style="line-height: 150%; font-size: 22pt;">Dongfang Li</span><span style="font-family:STFangsong; line-height: 150%; font-size: 22pt;"> (李东方)</span><br />
<span><strong>Ph.D.</strong></span><br />
<span>lidongfang AT hit.edu.cn</span><br />
<span>Harbin Institute of Technology (Shenzhen)</span><br />
<span>Shenzhen, Guangdong, China</span><br/>
<span><a href='https://scholar.google.com/citations?user=_OOzj40AAAAJ&hl=en'>[Google Scholar]</a></span>
<span><a href='https://www.semanticscholar.org/author/Dongfang-Li/1664667501'>[Semantic Scholar]</a></span>
<span><a href='https://drive.google.com/file/d/1B01dzp_jDSLVS-zXeBgpM6ScbR7vEfkd/view'>[CV]</a></span>
<span><a href='https://github.com/crazyofapple/Reading_groups/'>[Reading List]</a></span>
<span><a href='https://github.com/crazyofapple'>[Github]</a></span> <br/>
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<div class="section">
<h2>Biography</h2>
<div class="paper">
I am a tenure-track Associate Professor at Harbin Institute of Technology (Shenzhen), working with ACL Fellow <a href="https://zhangmin-nlp-ai.github.io/">Prof. Min Zhang</a> and <a href="https://faculty.hitsz.edu.cn/wuaiguo">Prof. Aiguo Wu</a> and <a href="https://scholar.google.com/citations?user=5NiJ1VoAAAAJ">Prof. Baotian Hu</a>.
My current research interests focus on Natural Language Processing, Large Language Models.
<br/>
<br/>
<strong><font color="red">[哈工大（深圳）计算与智能研究院立知（Lychee）团队招收2026级大模型、人工智能、AGI硕博研究生。与深圳河套人工智能学院(明年名额多，速来！未来招生时间:3月底/4月初春令营、6月夏令营、10月中旬秋令营)、鹏城国家实验室联培博士生均有名额]</font></strong> If you would like to collaborate with me, or if you need my mentorship for your research projects, feel free to reach out !
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<div class="section">
<h2>News</h2>
<div class="paper">
<li>[2026-01] Three papers are accepted by ICLR 2026. </li>
<li>[2025-11] One paper is accepted by AAAI 2026. </li>
<li>[2025-03] One paper is accepted by TASLP. </li>
<li>[2025-01] Received "Spark Award"(火花奖) on LLMs from Huawei. </li>
<li>[2024-12] One paper is accepted by AAAI 2025. </li>
<li>[2024-09] Two papers are accepted by NeurIPS 2024. </li>
<li>[2024-09] Four papers are accepted by EMNLP 2024. </li>
<li>[2024-06] Serving as Area Chair for EMNLP 2024. </li>
<li>[2024-05] Two papers are accepted by ACL 2024 and ACL Findings. </li>
<li>[2024-02] One paper is accepted by LREC-COLING 2024. </li>
<li>[2023-12] One paper is accepted by AAAI 2024. </li>
<li>[2023-10] Serving as Area Chair of ACL Rolling Reviewer (ARR). </li>
<li>[2023-10] One paper is accepted by EMNLP 2023 - Findings. </li>
<li>[2023-07] Serving as Co-chair of IJCNLP-AACL (Student Research Workshop) 2023. </li>
<li>[2023-05] One paper is accepted by ACL 2023 TrustNLP workshop. </li>
<li>[2023-03] <a href="https://github.com/crazyofapple/Reading_groups/">LLM Reading List </a> - A paper & resource list of large language models. </li>
<li>[2022-12] I gave a talk about my works at <a href="https://saai.net.cn/2557.html">SAAI</a>. </li>
<li>[2022-10] I gave a talk about my works at <a href="https://aistudio.baidu.com/paddle/forum/topic/show/1911668">Baidu</a>. </li>
<li>[2022-10] One paper is accepted by EMNLP 2022 (Short, 12% acceptance rate). </li>
<li>[2022-08] One paper is accepted by COLING 2022 (24.2% acceptance rate). </li>
<li>[2022-08] We won the first place in <a href="https://www.biendata.xyz/competition/fin_nl2sql/">CCKS 2022: NL2SQL for Financial-based TableQA</a>. </li>
<li>[2022-08] We got the second place in <a href="https://aistudio.baidu.com/aistudio/competition/detail/159/0/leaderboard">Language And Intelligence Challenge</a>. </li>
<li>[2022-06] Review invitation by 3 areas: "Interpretability", "NLP Applications" and "Information Extraction" for EMNLP 2022. </li>
<li>[2022-05] I gave a talk about my works at AI TIME PhD-AAAI. </li>
<li>[2021-12] Two papers are accepted by AAAI 2022 (15% acceptance rate). </li>
<li>[2020-12] I gave a talk about my works at <a href="https://conference.cipsc.org.cn/cssnlp/">CSSNLP 2020</a>. </li>
<li>[2020-10] One papers is accepted by KBS journal. </li>
<li>[2020-09] One paper is accepted by EMNLP 2020. </li>
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<div class="section">
<h2 id="confpapers">Selected Publications</h2>
<div class="paper" id="fusion">
<!--
<li> <strong>Li D</strong>, Yu Y, Chen Q, et al. BERTSel: Answer Selection with Pre-trained Models[J]. arXiv preprint arXiv:1905.07588, 2019. <a href='https://arxiv.org/abs/1905.07588'>[Paper]</a> <a href='https://github.com/BPYap/BERTSel'>[Code]</a> </li>
<li> <strong>Li D</strong>, Chen Q, Chen S, et al. Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task[C], CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2019: 29-41. <a href='https://link.springer.com/chapter/10.1007/978-3-030-32233-5_3'>[Paper]</a> </li>
<li> Fang Y*, <strong>Li D*</strong>, et al. Toward better prediction of recurrence for Cushing’s Disease: a factorization-machine based neural approach[J], International Journal of Machine Learning and Cybernetics,2020. (* = equal contribution, JCR Q2, 4.012) <a href='https://link.springer.com/article/10.1007/s13042-020-01192-6'>[Paper]</a> </li>
<li> <strong>Li D</strong>, Hu B, Chen Q, et al. Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text[C], Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020: 1427-1438. <a href='https://aclanthology.org/2020.emnlp-main.111/'>[Paper]</a> <a href="http://112.74.48.115:8157/">[Homepage]</a> <a href="http://112.74.48.115:8157/data/test_nlpec_data.tgz">[Data] </a></li>
<li> <strong>Li D</strong>, Hu B, Chen Q, et al. Attentive capsule network for click-through rate and conversion rate prediction in online advertising[J]. Knowledge-Based Systems, 2021, 211: 106522. (JCR Q1, 8.038) <a href='https://www.sciencedirect.com/science/article/pii/S0950705120306511'>[Paper]</a> <a href='https://github.com/crazyofapple/ACN_CVR_CTR'>[Code]</a> </li>
<li> <strong>Li D</strong>, Xiong Y, et al. Drug knowledge discovery via multi-task learning and pre-trained models[J]. BMC Medical Informatics and Decision Making, 2021 (JCR Q3, 2.796) </li>
<li> Zhang W*, <strong>Li, D*</strong>, et al. Electronic Medical Records as Input in Predicting Postoperative Immediate Remission of Cushing's Disease: Application of Word Embedding[J], Frontiers in Oncology (JCR Q2, 6.244) <a href='https://www.frontiersin.org/articles/10.3389/fonc.2021.754882/full'>[Paper]</a></li>
<li> <strong>Li D</strong>, Tao J, Chen Q, et al. You Can Do Better! If You Elaborate the Reason When Making Prediction[J]. arXiv preprint arXiv:2103.14919, 2021. <a href='https://arxiv.org/abs/2103.14919'>[Paper]</a> </li> -->
<li><strong>Dongfang Li</strong>, Baotian Hu, Shan He, Qingcai Chen. Towards Explainable Medical Machine Reading Comprehension with Rationale Generation. IEEE Transactions on Audio, Speech and Language Processing (TASLP). </li>
<li><strong>Dongfang Li</strong>, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang. CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. </li>
<li><strong>Dongfang Li</strong>, Xinshuo Hu, Zetian Sun, Baotian Hu, Shaolin Ye, Zifei Shan, Qian Chen, Min Zhang. TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). </li>
<li><strong>Dongfang Li</strong>, zhenyu liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang. In-Context Learning State Vector with Inner and Momentum Optimization. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. </li>
<li><strong>Dongfang Li</strong>, Zetian Sun, Baotian Hu, zhenyu liu, Xinshuo Hu, Xuebo Liu, Min Zhang. Improving Attributed Text Generation of Large Language Models via Preference Learning. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL): Findings, 2024. </li>
<li>Ziyang Chen*, <strong>Dongfang Li</strong>*, Xiang Zhao, Baotian Hu, Min Zhang. Temporal Knowledge Question Answering via Abstract Reasoning Induction. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. </li>
<li>Xinshuo Hu*, <strong>Dongfang Li</strong>*, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang. Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. </li>
<li><strong>Dongfang Li</strong>, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang. ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. Proceedings of the 2023 conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 2023. </li>
<li><strong>Dongfang Li</strong>, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang. Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022, 36(10), 10947-10955. (Oral)</li>
<li>Junying Chen*, <strong>Dongfang Li</strong>*, Qingcai Chen, Wenxiu Zhou, Xin Liu. Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2022, 36(4): 4432-4440. (* = equal contribution)</li>
<li><strong>Dongfang Li</strong>, Baotian Hu, Qingcai Chen. Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. Proceedings of the 2022 conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, 2775–2784. </li>
<li><strong>Dongfang Li</strong>, Baotian Hu, Qingcai Chen. Prompt-based Text Entailment for Low-Resource Named Entity Recognition. Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022, 1896-1903. </li>
<li><strong>Dongfang Li</strong>, Baotian Hu, Qingcai Chen, Xiao Wang, Quanchang Qi, Liubin Wang, Haishan Liu. Attentive Capsule Network for Click-through Rate and Conversion Rate Prediction in Online Advertising. Knowledge-based Systems (KBS), 2021, 212: 106611. </li>
<li><strong>Dongfang Li</strong>, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen. Drug knowledge discovery via multi-task learning and pre-trained models. BMC Medical Informatics and Decision Making, 21, 251. </li>
<li><strong>Dongfang Li</strong>, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang. Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. Proceedings of the 2020 conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, 1427-1438. </li>
<!-- <li><strong>Dongfang Li</strong>, Qingcai Chen, Songjian Chen, Xin Liu, Buzhou Tang, Ben Tan. Multistrategies Method for Cold-Start Stage Question Matching of rQA Task. CCF International Conference on Natural Language Processing and Chinese Computing. 2019, 29-41. </li> -->
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<div class="section">
<h2 id="confpapers">Experiences</h2>
<div class="paper">
<ul>
<li>03.2019-05.2023, PhD student, <a href="http://icrc.hitsz.edu.cn/"> HIT-ICRC </a>, Harbin Institute of Technology (Shenzhen), Advised by <a href="http://faculty.hitsz.edu.cn/chenqingcai1">Prof. Qingcai Chen</a> and <a href="https://scholar.google.com/citations?user=5NiJ1VoAAAAJ&hl=en"> Dr. Baotian Hu</a></li>
<li>09.2016-01.2019, MS student, <a href="http://icrc.hitsz.edu.cn/"> HIT-ICRC </a>, Harbin Institute of Technology (Shenzhen), Advised by <a href="http://faculty.hitsz.edu.cn/chenqingcai1">Prof. Qingcai Chen</a> </li>
<li>09.2012-06.2016, Undergrad student, Computer Science, Ocean University of China, Advised by <a href="https://scholar.google.com/citations?user=HqKD-fwAAAAJ">Prof. Guoqiang Zhong</a></li>
</ul>
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<h2 id="confpapers">Academic Services</h2>
<div class="paper">
<ul>
<li>Co-chair of <a href="https://aacl2023-srw.github.io/">IJCNLP-AACL (Student Research Workshop) 2023</a>, ACL Rolling Reviewer (ARR) / ACL / NAACL / EMNLP - Area Chair </li>
<li>Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems, Knowledge-Based Systems, Applied Intelligence, Neural Processing Letters</li>
<li>Conference Reviewer: NeurIPS, COLM 2024-, ICLR 2024-, ACL 2021-, EMNLP 2020-, EACL 2023, AACL-IJCNLP 2022, AAAI 2023, IJCAI 2023-, CCKS 2021-, NLPCC 2021-, COLING 2020-, CCL 2021-, NAACL 2022-, ACL Rolling Review </li>
<li>Workshop Reviewer: Instruction Workshop@NeurIPS 2023, MATH-AI Workshop@NeurIPS 2023, TrustNLP 2024 Committee, SET LLM@ICLR 2024, ME-FoMo@ICLR 2024, WiNLP@EMNLP 2024</li>
</ul>
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<h2 id="confpapers">Industrial Projects</h2>
<div class="paper">
<ul>
<li> Baidu's complex knowledge graph project in the medical field </li>
<li> Tencent's intelligent dialogue and marketing transformation (CTR/CVR) </li>
<li> QA projects of WeBank, China CITIC Bank, and China Merchants Bank </li>
<li> Harbin Institute of Technology (Shenzhen)-Tencent Artificial Intelligence Laboratory Team Leader: Intelligent Customer Service </li>
<li> <a href="http://www.tlrobot.com/">Harbin Institute of Technology (Shenzhen)-Turing Robotics Joint Laboratory</a> Team Leader (15+ members): Financial Information Extraction, Text Comparison, Contract Review, Smart Investment Projects (e.g., Industry Chain KG), Smart Financial Information Mining </li>
</ul>
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