Yuxin Zuo

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

FlowRL: Matching Reward Distributions for LLM Reasoning

Towards a Unified View of Large Language Model Post-Training

How Far Can Unsupervised RLVR Scale LLM Training?

MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference

SSRL: Self-Search Reinforcement Learning

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

TTRL: Test-Time Reinforcement Learning

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding