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Eunwoo Kim

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#artificial intelligence Preprint Aug 2026

Rethinking the Test-Time Prompt Tuning Objective from the Perspective of Calibration

This work proposes a new objective that replaces the conventional EM loss by aligning the original-view prediction with a target distribution derived from augmented views via cross-entropy, while adversarially incorporating the entropy of the target distribution to capture sample-specific uncertainty.

Jungwon Choi, Hyeon-Gi Jang, Kibok Lee et al. · 0 citations

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