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Career

· Intern, Allen Institute for Artificial Intelligence2024–
· Visiting Researcher, Meta FAIR2024–
· PhD Student, University of Washington, Paul G. Allen School of Computer Science & Engineering2024–
· Intern, Beijing Institute for General Artificial Intelligence2023–
· Graduate Student, School of Computer Science, Peking University2020–
· Undergraduate Student, University of Toronto2015–

Publications (0)

Baichuan 2: Open Large-scale Language Models
arXiv.org · 2023
932
cited
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
Neural Information Processing Systems · 2023
745
cited
Safe RLHF: Safe Reinforcement Learning from Human Feedback
International Conference on Learning Representations · 2023
556
cited
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
arXiv.org · 2023
85
cited
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
Neural Information Processing Systems · 2022
35
cited
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
North American Chapter of the Association for Computational Linguistics · 2025
23
cited
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation
International Conference on Learning Representations · 2023
16
cited
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
Conference on Empirical Methods in Natural Language Processing · 2025
1
cited
Boat Does it Float? Improving Personalization in Preference Tuning
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