Licheng Liu

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

arXiv

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Zihan Wang, Kangrui Wang, Qineng Wang, and 15 more authors

2025

Abs Bib

@misc{ragen,
  title = {RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning},
  author = {Wang, Zihan and Wang, Kangrui and Wang, Qineng and Zhang, Pingyue and Li, Linjie and Yang, Zhengyuan and Jin, Xing and Yu, Kefan and Nguyen, Minh Nhat and Liu, Licheng and Gottlieb, Eli and Lu, Yiping and Cho, Kyunghyun and Wu, Jiajun and Fei-Fei, Li and Wang, Lijuan and Choi, Yejin and Li, Manling},
  year = {2025},
  eprint = {2504.20073},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2504.20073},
}