Author

Yu-Wei Liang

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#machine learning Preprint Sep 2026

Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning

Test-time prompt tuning (TPT) enables adaptation on a single test instance, achieving improved accuracy but often sacrificing calibration performance. Most existing calibration methods introduce additional regularization terms to promote dispersion across text embeddings and reduce calibration error, yet these methods...

Yu-Wei Liang, Jian Liang, Dapeng Hu et al. · 0 citations

#machine learning Preprint Sep 2026

To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models

Test-time adaptation (TTA) has emerged as a prominent strategy for adapting vision-language models to distribution shifts during inference. We conduct a per-sample analysis of model predictions before and after adaptation, and observe two failure modes in existing TTA methods that echo previous work. Adaptations are fr...

Si-Ru Jiang, Yu-Wei Liang, Jian Liang et al. · 1 citation