arXiv cs.CL
· Papers
Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
arXiv:2606.25152v1 Announce Type: new Abstract: Deployed approaches for AI text detection often rely on training-time access to labeled datasets of both human-written and AI-generated text. This approach is vulnerable to three types of distribution shifts that occur continually post-deployment, and for which labeled da