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News/Mechanistic Insights into LoRA: Layer Sparsity for Adaptive Fine-Tuning via Path Patching
arxiv
PublishedOctober 28, 2026 at 4:00 AM

Mechanistic Insights into LoRA: Layer Sparsity for Adaptive Fine-Tuning via Path Patching

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arXiv:2610.34756v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) has emerged as the dominant paradigm for parameter-efficient fine-tuning of large language models. Standard all-layer LoRA applies adaptation throughout the transformer, despite heterogeneous contributions from its components

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