Enyu Zhou

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

Pre-Trained Policy Discriminators are General Reward Models

RMB: Comprehensively benchmarking reward models in LLM alignment