Licheng Liu

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Pronunciation: Lee-chuhng Lee-oh

I’m a 3rd year Maths student at Imperial College. I study how we can continue to optimize and improve LLMs after their initial pretraining and instruction tuning. Specifically, I use RL as a tool to refine model behavior according to downstream objectives, preferences, or constraints. Previously, I worked on learning theory, with a focus on online selective prediction.

I am fortunate to be advised by Prof. Manling Li and Prof. Mingda Qiao.

I’m always open to collaboration and would love to chat—don’t hesitate to shoot me an email!

News

Jul 09, 2025 Our work UFO has been accepted to AI4Math@ICML25. Grateful to to all my co-authors!
Mar 19, 2025 I’m excited to share that I’m joining NU MLL Lab 🔬, advised by Prof. Manling Li! I mainly work with Zihan Wang and am grateful for his guidance.
May 23, 2024 I’m grateful to be supervised by Prof. Mingda Qiao working on selective prediction in online settings!

Selected Publications

  1. arXiv
    RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
    Zihan Wang, Kangrui Wang, Qineng Wang, and 15 more authors
    2025