Instant Personalized Large Language Model Adaptation via Hypernetwork
A hypernetwork enables instant personalized large language model adaptation by generating user-specific parameters directly from user data.
Published 20261 citationPaper ↗
69%
OverallHighly rated
?
OverallHighly ratedVote to see the scoreThe exact score shows once you've voted, so every vote is your own call. The first half of each home page shelf shows its scores.
Readers
–
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel3/20reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
AI panel?Vote to see what the 20 AI reviewers said
Clever hypernetwork adapter delivers instant personalization, but missing open weights, ablations, latency curves, and standard benchmarks leave its real-world value unproven.
Abstract
Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.