EREAL: Enhancing Mathematical Reasoning through Error-Aware Learning in Large Language Models
Large Language Models (LLMs) have achieved substantial progress in solving complex mathematical problems, yet they often fail to exploit the potential value embedded in their own mistakes. Existing methods either apply coarse-grained corrections or rely on costly self-reflection, overlooking valid reasoning steps and i...