Enhancing Mathematical Reasoning in Large Language Models through Automated Solution Generation

This study introduces an innovative approach that leverages the Monte Carlo Tree Search (MCTS) framework to automatically generate high-quality training data for enhancing the mathematical reasoning capabilities of large language models, without the need for manual annotation.