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New AI model accurately grades messy handwritten math answers and explains student errors

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.

Led by Professor Taehwan Kim of UNIST Graduate School of Artificial Intelligence and Professor Sungahn Ko of POSTECH, the team announced the development of VEHME (Vision-Language Model for Evaluating Handwritten Mathematics Expressions), an AI model designed specifically to evaluate complex handwritten mathematics expressions.

The research is published on the arXiv preprint server.

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