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News/LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure
arxiv
PublishedJuly 22, 2026 at 4:00 AM

LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure

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Publisher summary· verbatim

arXiv:2607.04733v2 Announce Type: replace Abstract: Supervised fine-tuning (SFT) is the standard approach for adapting pretrained language models to downstream domains, yet it often improves target-domain behavior at the cost of degrading pre-existing capabilities. Standard cross-entropy fine-tuning

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