A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering 事件

A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering arXiv:2606.00402v1 Announce Type: cross Abstract: We propose a distribution-free statistical framework that converts arbitrary rewrite-based detectors into detectors with finite-sample FDR guarantees without retraining. Our key observation is that rewrite-based detection implicitly constructs knockoff samples, enabling LLM-generated text detection to be formulated as a multiple hypothesis testing problem