Classifier Detects LLM-Generated Text Without Watermarks

On Jan. 10, 2026, Jin Zhu posts an arXiv preprint presenting a classifier to detect whether text is authored by large language models or humans. The detector, deployed on an online CPU-based platform, claims three novelties — no reliance on watermarks or model identity, improved discrimination, and enabling statistical inference — and reports higher accuracy, controlled type-I error, and computational efficiency.
Scoring Rationale
Useful CPU-deployable detector with statistical guarantees, but limited by single-source arXiv preprint and pending peer review.
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