AI RESEARCH
FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning
arXiv CS.CL
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ArXi:2605.29317v2 Announce Type: replace Parameter-efficient fine-tuning(PEFT) has largely focused on LoRA and its accuracy-oriented variants, leaving the original goal of reducing trainable parameters has receivedcomparatively little attention. We