arxiv
PublishedJune 3, 2026 at 4:00 AM
Instant Personalized Large Language Model Adaptation via Hypernetwork
Publisher summary· verbatim
arXiv:2510.16282v2 Announce Type: replace Abstract: Personalized large language models (LLMs) tailor content to individual preferences using user profiles or histories. However, existing parameter-efficient fine-tuning (PEFT) methods, such as the ``One-PEFT-Per-User'' (OPPU) paradigm, require traini
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAutomatic Sentence Completion Using Bengali Audio Speech with a Transformer-Based Early Speech Recognition System2harxivWhat Should We Remove? Evaluating the Reliability and Costs of RLVR Data Decontamination2harxivFGSS-BO: Feedback-Guided Hypothesis Management for LLM-Based Bayesian Optimization2harxivLLM-Based Weak Annotation for Cybersecurity Tweet Classification: A Teacher-Student Framework2hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗