#artificial intelligence
Jun 2026
Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
This work proposes a test-time adaptation (TTA) approach that adapts to distribution shifts by leveraging homogeneity among unlabeled samples observed at inference time and establishes that TTA is a promising framework for AI text detection in the wild.
Ke Ren, Manish Raghavan, Nikhil Garg
· arXiv.org · 1 citation
· ⚡1