Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility 事件

Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility arXiv:2605.29229v1 Announce Type: new Abstract: Reasoning distillation transfers complex reasoning abilities from large language models (LLMs) to smaller ones, yet its success depends on how well the training data align with the student model. This paper introduces the Data-Model Compatibility (DMC) metric, which can be used to assess the suitability of a dataset for reasoning distillation on