Improving Mathematical Reasoning Capabilities in Large Language Models via Reasoning Process Error Classification
The types of errors that arise in LLMs'reasoning processes on mathematical datasets are clarified and manually analyze the features of reasoning errors.
Runa Yoshida, Kosuke Nishida, Kyosuke Nishida
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