Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions.
arXiv:2602.05709v3 Announce Type: replace Abstract: Low-rank adaptation (LoRA) approximates the update of a pretrained weight matrix using the product of two low-rank matrices. However, standard LoRA follows an explicit-rank paradigm, where increasing model ca
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