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News/Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning
arxiv
PublishedJune 10, 2026 at 4:00 AM
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Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

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Publisher summary· verbatim

arXiv:2606.10196v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) aims to adapt pretrained models with a small trainable parameter subset, however, most existing methods choose this subset from fixed architectural heuristics rather than using dynamic, task-aware criteria. We i

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