Author

Lea Schönherr

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#artificial intelligence Preprint Sep 2026

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

Active test-time adaptation (ATTA) improves robustness under distribution shift by updating a deployed model during inference while selectively querying supervision. However, most existing ATTA methods implicitly assume that supervision can be requested for every incoming test batch, which can incur substantial annotat...

M. Huzaifa, Lea Schönherr, Thorsten Eisenhofer · 0 citations

#machine learning Preprint Jan 2026

Unknown Unknowns: Do Hidden Intentions in LLMs Evade Detection?

This work introduces a social-science-grounded set of ten hidden intention categories and shows that they are trivially inducible, providing the first systematic analysis of why hidden intentions are difficult to detect.

Devansh Srivastav, D. Pape, Lea Schönherr · 1 citation