Rui Zheng

AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL

Critique-RL: Training Language Models For Critiquing Through Two-Stage Reinforcement Learning

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

A Benchmark for Self-Evolving Agents via Experience-Driven Lifelong Learning

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs

RMB: Comprehensively benchmarking reward models in LLM alignment

AgentGym: Evaluating and Evolving Large Language Model-based Agents across Diverse Envronments

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model

Progressive LLM Alignments Using Two-Player Games

Robust RLHF with Noisy Rewards