First-author PhD paper frames AI text detection as continual learning, accepted at NeurIPS 2026
lucy3_li · x · 2026-10-17
PhD student Kevin Ren shares his first first-author paper, "Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift," accepted to NeurIPS 2026.
The work frames AI text detection as a continual learning problem: as human and AI writing distributions keep shifting, detectors use test-time adaptation to stay robust against the moving target.
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