Weightless fine-tuning uses logit-space transport to personalize LLMs without weight updates
Read the original at arxiv.org→arXiv:2608.11342v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is a standard approach for adapting LLMs to a target distribution, but in settings such as personalization, where each author requires...
Original headline: "Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport"
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- Aug 13, 04:00 UTC arXiv cs.LG lead source Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport