用大模型自动检查数学题步骤错误，无需标准答案
MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs
- 分两阶段用提示引导大模型分析解题过程
- 可处理计算题和应用题，支持开放性评分
- 适合教育场景，提供个性化纠错反馈
我们提出一种新系统 MathMistake Checker，通过两阶段流程自动化检测数学问题中复杂解答的步骤错误。该系统融合计算机视觉与最新大语言模型的思维链能力，旨在简化批改、提升效率，并从教学角度增强学习体验。系统支持无参考答案的开放式评分，能针对学生作答提供精准定位的个性化反馈。我们在多种数学题型（包括计算题和应用题）上验证了其有效性。
原文摘要 · Abstract (English)
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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