AI text detection paper on shifting writing accepted to NeurIPS 2026
Its author says it frames detection as a continual learning problem to handle shifts in human and AI writing.
TLDR
The author announced that their first PhD paper, “Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift,” was accepted to NeurIPS 2026. They say it frames AI text detection as a continual learning problem, aiming to make models more robust as human and AI writing change.
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