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Achievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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ChanLiang/README.md

👋 Hi, I'm Liang Chen (陈亮)

I'm a third-year Ph.D. student in the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong (CUHK), advised by Prof. Kam-Fai Wong.

My research focuses on trustworthy large language models (LLMs). Recent work includes:

  • VAA (ICML 2025): A safety alignment method that identifies and upweights vulnerable examples to improve safety retention.
  • PEARL (ICLR 2025): An instruction tuning method to enhance LLM robustness in ICL and RAG scenarios.
  • WatME (ACL 2024): A lossless text watermarking approach leveraging lexical redundancy during decoding.
  • CONNER (EMNLP 2023): An automatic evaluation framework to assess LLMs as generative search engines.

🧠 I'm currently exploring large reasoning models (LRMs) and am open to research discussions or collaboration opportunities.

📬 Feel free to reach out via: lchen [at] se [dot] cuhk [dot] edu [dot] hk

🌐 Homepage: https://chanliang.github.io

Pinned Loading

  1. VAA VAA Public

    [ICML 2025] Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning

    Python 9

  2. PEARL PEARL Public

    [ICLR 2025] PEARL: Towards Permutation-Resilient LLMs

    Python 7

  3. WatME WatME Public

    [ACL 2024] WatME: Towards Lossless Watermarking Through Lexical Redundancy

    Python 9

  4. CONNER CONNER Public

    [EMNLP 2023] Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators

    Python 32 2

  5. ORIG ORIG Public

    [ACL 2023 findings] Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization

    Python 17

  6. MLGroupJLU/LLM-eval-survey MLGroupJLU/LLM-eval-survey Public

    The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

    1.5k 98