Singular Geometry of Low-Rank Adaptation
arXiv:2610.32854v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) is now a standard approach to parameter-efficient fine-tuning of large neural networks. Its low-rank factorization is inherently non-identifiable, making LoRA a singular statistical model whose learning complexity cannot be…
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- 2026-10-26 04:00 · arXiv stat.ML
Singular Geometry of Low-Rank Adaptation