I am a thrid-year PhD student at Natural Language Processing Group at The Hong Kong Polytechnic University (PolyU), advised by Prof. Maggie Wenjie Li. Before that, I received my BEng degrees from the School of Computer Science, Wuhan University, in 2022.

My primary focus is on uncovering mechanistic insights to enhance the safety alignment of Large Language Models (LLMs). Closely related to this, I am also passionate about the mechanistic interpretability of LLMs’ general computational processes (check out Awesome-LLM-Interpretability!). Beyond these core areas, I have broad interests in LLM alignment, improving their reasoning capabilities, and developing more effective interactions between LLMs, humans, and the environment.

🔥 News

  • 2024.09: 🎉 Two papers are accepted by EMNLP 2024
  • 2024.05: 🎉 Two papers are accepted by ACL 2024

📝 Publications

See full list in Google Scholar Badge

EMNLP 2024 Findings
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E^2CL: Exploration-based Error Correction Learning for Embodied Agents
Hanlin Wang†, Chak Tou Leong†, Jian Wang, Wenjie Li

Preprint
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No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks
Chak Tou Leong, Yi Cheng, Kaishuai Xu, Jian Wang, Hanlin Wang, Wenjie Li

EMNLP 2023
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Self-Detoxifying Language Models via Toxification Reversal
Chak Tou Leong†, Yi Cheng†, Jiashuo Wang, Jian Wang, Wenjie Li

🎖 Honors and Awards

  • 2021.12 Outstanding Prize, Scholarships for Hong Kong, Macau and Overseas Chinese Students (9 students awarded school-wise)

Academic and Professional Activities

Open-Source Projects

  • Awesome-LLM-Interpretability GitHub Stars GitHub Forks
    • A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc.

Academic Services

  • Conference Reviewer: NeuIPS 2024, ICLR 2025

Teaching Assistant

  • COMP 6709: Advanced Natural Language Processing, Spring 2024 PolyU
  • COMP 4133: Information Retrieval, Fall 2023 PolyU
  • COMP 5423: Natural Language Processing, Spring 2023 PolyU