Self-Error-Instruct clusters a model's math errors into types, synthesizes targeted practice data per type, and selects the best samples for fine-tuning, improving held-out math test accuracy.
InFindings of the Association for Computational Linguistics: ACL 2024, pages 6498–6526, Bangkok, Thailand
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Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
Self-Error-Instruct clusters a model's math errors into types, synthesizes targeted practice data per type, and selects the best samples for fine-tuning, improving held-out math test accuracy.