Ganqu Cui

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

FlowRL: Matching Reward Distributions for LLM Reasoning

How Far Can Unsupervised RLVR Scale LLM Training?

SCI-Verifier: Scientific Verifier with Thinking

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

From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones

Process Reinforcement through Implicit Rewards

NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning

PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

RLPR: Extrapolating RLVR to General Domains without Verifiers

Learning to Reason under Off-Policy Guidance

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset

TTRL: Test-Time Reinforcement Learning

Advancing LLM Reasoning Generalists with Preference Trees

Free Process Rewards without Process Labels

Improving Zero-Shot Generalization of Instruction Tuning by Data Arrangement