Advancing Multi-Step Mathematical Reasoning in Large Language Models through Multi-Layered Self-Reflection with Auto-Prompting
通过多层自反思与自动提示推进大语言模型的多步数学推理
机构 * Luiz de Queiroz College of Agriculture University of São Paulo(圣保罗大学农业学院) ; School of Engineering and Sciences Tecnologico de Monterrey(蒙特雷技术学院工程与科学学院) ; Institute of Mathematics and Computer Sciences University of São Paulo(圣保罗大学数学与计算机科学研究所)
专题命中 复杂问题求解 :reasoning(title,abstract);CoT(abstract);分类 cs.CL、cs.LG
AI总结 本文提出MAPS框架,通过多层自反思与自动提示提升大语言模型的多步数学推理能力,实验证明其在多个基准测试中优于标准CoT并接近优化模型。
Comments Accepted for publication in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025). Research Track