Sample-Efficient Alignment for LLMs, Advances in Neural Information Processing Systems (NeurIPS), 2024
Bootstrapping Language Models with DPO Implicit Rewards, International Conference on Learning Representations (ICLR), 2025
Locality Sensitive Sparse Encoding for Learning World Models Online, International Conference on Learning Representations (ICLR), 2024
Efficient Offline Policy Optimization with a Learned Model, International Conference on Learning Representations (ICLR), 2023
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine, Advances in Neural Information Processing Systems (NeurIPS), 2022
Research Experience
Working at Sea AI Lab, involved in multiple research projects.
Education
Bachelor's degree from National University of Singapore (NUS), advised by Dr. Feng Jiashi.
Background
Research interests include machine learning, reinforcement learning, and natural language processing. Currently working as a research engineer at Sea AI Lab.
Miscellany
Personal website provides links to Google Scholar, GitHub, Twitter, and LinkedIn.