RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner.

arXiv:2410.23912v3 Announce Type: replace Abstract: The reasoning abilities of large language models (LLMs) have improved with chain-of-thought (CoT) prompting, allowing models to solve complex tasks stepwise. However, training CoT capabilities requires detail