SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning

ArXi:2505.16368v4 Announce Type: replace-cross How to design reinforcement learning (RL) tasks that effectively unleash the reasoning capability of large language models (LLMs) remains an open question. Existing RL tasks (e.g., math, programming, and constructing reasoning tasks) suffer from three key limitations: (1) Scalability. They rely heavily on human annotation or expensive LLM synthesis to generate sufficient