Resume
Academic Achievements
- Published several papers, including preprints and conference papers, such as 'Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference', 'Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation', and more.
Research Experience
- Currently pursuing a Ph.D. at the School of Artificial Intelligence, Nanjing University, involved in various research projects related to reinforcement learning.
Education
- Ph.D. student at the School of Artificial Intelligence, Nanjing University, advised by Professor Yang Yu and Associate Professor Zongzhang Zhang, and a member of the LAMDA Group led by Professor Zhi-Hua Zhou.
Background
- Research interests include theoretically justified algorithms and real-world applications of Reinforcement Learning (RL), particularly in reward model learning, offline RL and Sim2Real transfer, decision making in non-stationary environments. Also interested in decision making via Large Language Models (LLMs).
Miscellany
- Feel free to discuss or collaborate, email: liyc@lamda.nju.edu.cn