Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning.

arXiv:2606.10196v2 Announce Type: replace-cross Abstract: Parameter-efficient fine-tuning often selects trainable parameters before adaptation using architectural heuristics, without accounting for their varying importance during training. We introduce \textbf