AINeutralarXiv – CS AI · 7h ago6/10
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A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
Researchers propose a distribution-free statistical framework that enhances rewrite-based LLM detection systems with finite-sample false discovery rate (FDR) guarantees without requiring model retraining. By formulating detection as a knockoff-based multiple hypothesis testing problem, the framework enables existing detectors to inherit statistical guarantees through a simple calibration procedure, validated across multiple detection models, domains, and language models.