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spectral law

topic1 events
papersTODAY 04:00 UTC

arXiv paper proposes spectral law for LoRA "intruder dimensions"

A revised arXiv preprint in machine learning looks at "intruder dimensions" that can appear during LoRA fine-tuning: new leading singular vectors of the updated weight matrix W+BA that are nearly orthogonal to the pretrained model's singular vectors, a phenomenon previously tied to catastrophic forgetting. The abstract notes that no theory has explained these dimensions since they were first identified, and frames the new work as a spectral law addressing that gap. The excerpt provided is truncated, so the full results and claims are not yet visible.

lora/fine-tuning/forgetting/research