arXiv AI By Muhammad Huzaifa, Lea Sch\"onherr, Thorsten Eisenhofer

WISE-ATTA: When to Ask for Labels in Budgeted Active Test-Time Adaptation

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arXiv Machine Learning
1d ago

Learning to Predict Distributions over Weight Updates for Test-Time Adaptation

The paper introduces query‑conditioned hypernetworks that predict distributions over LoRA weight updates for large language models. By learning a distribution rather than a single point estimate, the method allows sampling multiple adapted models for the same query, improving performance over deterministic hypernetworks and token‑sampling baselines. The study also shows that these learned updates can transfer across different queries, indicating reusable adaptation patterns.

By Azal Ahmad Khan, Keshav Ramji, Tahira Naseem, Ali Anwar, Ram\'on Fernandez Astudillo