Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews

In three linesSem-Detect detects AI-generated peer reviews by analyzing textual features and semantic analysis at claim level. The method compares a target review against multiple AI-generated reviews of the same paper, exploiting AI model convergence versus human reviewer diversity. On 20,000+ ICLR/NeurIPS reviews, Sem-Detect improves strongest baseline by 25.5% in TPR@0.1% FPR.

Summary generated by Claude — human-verified