How Many Ranks Does a Token Need? A Noise-Floor Squelch for Rank-One LoRA Experts
arXiv:2610.19033v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) applies every rank-one component of its update to every token, and mixture-of-experts variants replace this with a learned router that activates a fixed number of components. We argue that the number of components a token ne…
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- 2026-10-15 04:00 · arXiv cs.LG
How Many Ranks Does a Token Need? A Noise-Floor Squelch for Rank-One LoRA Experts