INSPIRE: An Internalize-Then-Improve approach for example-driven mathematical reasoning
Read the original at arxiv.org→arXiv:2608.27501v1 Announce Type: new Abstract: Mathematical reasoning has seen rapid progress in large language models (LLMs), yet existing methods optimize predominantly for final-answer correctness, raising the...
Original headline: "INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning"
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- Aug 31, 04:00 UTC arXiv cs.CL lead source INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning