INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning
INSPIRE is an Internalize-Then-Improve approach combining Reference-Guided Student Internalization (RGSI), which produces high-quality preference candidates under the policy model's own distribution, with a stage-wise rubric preference training strategy that decomposes learning into method-oriented and correctness-oriented stages.
Shuai Wang, Jiayi Kuang, Yinghui Li et al.
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