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Yiwei He

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#machine learning Preprint Sep 2026

Online Self-Weighted Fine-Tuning

Online Self-Weighted Fine-Tuning is proposed, a simple method that augments SFT with online, trajectory-level weighting and offers a favorable compute-performance trade-off as a practical approach for fine-tuning small-to-medium LLMs on binary-verifiable reasoning tasks with only 2 online rollouts.

Hai-Quan Wen, Yiwei He, Bei Peng et al. · 0 citations