In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback

Mingye Zhu, Yi Liu, Zheren Fu +2

Training Large Language Models (LLMs) for chain-of-thought reasoning presents a significant challenge: supervised fine-tuning on a single "golden" rationale hurts generalization as…