Wei FAN

Welcome! I’m a Ph.D. student supervised by Prof.Yangqiu Song in Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). Before that, I got my B.Eng. degree in Computer Science from Huazhong University of Science and Technology (HUST) and M.Sc. in Big Data Technology from HKUST. Please feel free to contact me if you would like to discuss my research further.

News

  • Nov 2024: Our paper on legal grounding in privacy domain has been awarded the outstanding paper 🏆 at EMNLP 2024!
  • Sep 2024: Three papers are accepted by EMNLP 2024. Topics cover legal alignment, theory of mind, and text-to-table summarization. See you in Miami!
  • May 2024: Two papers are accepted by ACL 2024. Topics cover abstract knowledge and differential privacy. See you in Thailand!
  • Mar 2024: One paper is accepted by DASFAA 2024. Topics cover hierarchical reinforcement learning and conversational recommendation. Welcome to my oral presentation in Gifu, Japan.
  • Aug 2023: Attending IJCAI 2023 at Macao as a student volunteer.

Research Interest

My primary research focus is on retrieval and logical reasoning, with a special interest in the theory and application of legal NLP, large-scale knowledge graphs, and recommender systems.

Publications

Remark: * indicates equal contribution.

[Conference]

  • GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
    Wei Fan*, Haoran Li*, Zheye Deng, Weiqi Wang, Yangqiu Song
    Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024. Oral
    🏆 Outstanding Paper Award
    [paper][code]
  • Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
    Wei Fan, Weijia Zhang, Weiqi Wang, Yangqiu Song, Hao Liu
    Conference on Database Systems for Advanced Applications (DASFAA) 2024. Oral
    [paper][code]
  • Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
    Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song
    Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.
    [paper]
  • NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
    Chunkit Chan, Cheng Jiayang, Yauwai Yim, Zheye Deng, Wei Fan, Haoran Li, Xin Liu, Hongming Zhang, Weiqi Wang, Yangqiu Song
    Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.
    [paper]
  • AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation
    Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
    Conference on Association for Computational Linguistics (ACL) 2024.
    [paper][code]
  • PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
    Haoran Li*, Dadi Guo*, Donghao Li*, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yangqiu Song
    Conference on Association for Computational Linguistics (ACL) 2024. Oral
    [paper]
  • Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
    Yauwai Yim, Chunkit Chan, Tianyu Shi, Zheye Deng, Wei Fan, Tianshi Zheng, Yangqiu Song
    Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) 2024.
    [paper]

[Preprint]

  • Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal
    Weijia Zhang, Jindong Han, Hao Liu, Wei Fan, Hao Wang, Hui Xiong.
    Arxiv Preprint 2024.
    [paper]
  • On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
    Weiqi Wang, Tianqing Fang, Haochen Shi, Baixuan Xu, Wenxuan Ding, Liyu Zhang, Wei Fan, Jiaxin Bai, Haoran Li, Xin Liu, Yangqiu Song.
    Arxiv Preprint 2024.
    [paper]

Academic Service

Conference Reviewer: ACL Rolling Review (2023 - Now)
Conference Volunteer: IJCAI (2023)

Teaching

  • COMP 4222: Machine Learning with Structured Data (Fall 2024)
  • MSBD 5018: Natural Language Processing (Fall 2024)
  • COMP 1021: Introduction to Computer Science (Spring 2024)
  • CSIT 6000R: Natural Language Processing (Spring 2024)

Education

  • Doctor of Philosophy · HKUST · Computer Science · Sep.2023-Now
  • Master of Science · HKUST · Big Data Technology · Sep.2022-Jul.2023
  • Bachelor of Engineering · HUST · Computer Science · Sep.2017-Jun.2021
  • Visiting Student · UoM · Computer Science · Jul.2019-Aug.2019