Rank Measures of Fine-Tuning Updates Need a Noise Baseline
Studies of what fine-tuning does to a language model often summarise the weight update $\Delta W$ by its rank. We compare the rank measures used for this against the same measures on a random matrix of the same shape, and against two harder references: the pretrained weights, and matched fine-tunes…
By Muhammad Usman AltafarXiv cs.LG
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Originally published by arXiv cs.LG on Oct 19, 2026.
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