Xuehai Pan (/ʃwɛˈhaɪ pæn/,
Xuehai is now working on pioneering research in the development of Large Language Models (LLMs) while ensuring they align with human intentions and values through AI Alignment techniques (essentially balancing between helpfulness and harmlessness). Specifically, he is exploring automated data syntactic, red teaming, and evolutional training via multi-agent interaction and self-play. The ultimate goal is to build a scalable and fully automated system, including training, evaluation, inference, and governance.
Beyond academia, Xuehai is an open-source enthusiast and an active contributor to influential projects such as PyTorch, CPython, Ray, Transformers, DeepSpeed, Homebrew, etc. He enjoys dedicating his spare time to helping people and sharing knowledge in the community, further enriching his impact beyond his research pursuits.