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arXiv · 2503.04291

MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs

Tianyang Zhang·Zhuoxuan Jiang·Haotian Zhang·Lin Lin·Shaohua Zhang
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Abstract

We propose a novel system, MathMistake Checker, designed to automate step-by-step mistake finding in mathematical problems with lengthy answers through a two-stage process. The system aims to simplify grading, increase efficiency, and enhance learning experiences from a pedagogical perspective. It integrates advanced technologies, including computer vision and the chain-of-thought capabilities of the latest large language models (LLMs). Our system supports open-ended grading without reference answers and promotes personalized learning by providing targeted feedback. We demonstrate its effectiveness across various types of math problems, such as calculation and word problems.

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Tianyang Zhang, Zhuoxuan Jiang, Haotian Zhang, Lin Lin, Shaohua Zhang. 2025-03-06. MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs. https://arxiv.org/abs/2503.04291

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