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2 results for “user preference”
Learning to Adapt Cross-Domain Preferences via Meta-LoRA for LLM Personalization
arXiv:2608.12389v1 Announce Type: new Abstract: Cross-domain zero- or few-shot personalization aims to generate user-preferred responses in unseen conversational domains from only a handful of target-domain interactions. Existing adaptation methods struggle to calibrate update magnitude under sparse evidence and thus overfit, whereas history-transfer methods often entangle user preferences with source-domain artifacts, yielding unreliable personalization priors and negative transfer. To calibrat
Aug 14, 2026
Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions
A new theoretical paper introduces a misspecification-reduction framework to achieve optimal dynamic regret bounds for non-stationary linear bandits without restrictive structural assumptions on decision sets.
Jul 8, 2026