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#artificial intelligence Preprint Nov 2025

Fine-Tune, Then Rectify

A two-stage framework that combines fine-tuning and rectification, and optimally allocates limited labeled samples across the two stages is developed, and validates the fine-tuning scaling law and confirms that the proposed optimal allocation rule reliably identifies the optimal sample allocation.

Lei Wang, Zikun Ye, Jing-Long Zhao · 5 citations

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