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

Sem-Detect is a novel method for distinguishing between human-written and AI-generated peer reviews, combining textual features with claim-level semantic analysis. It leverages the observation that AI models tend to converge on similar points, while human reviewers introduce more unique ideas, enabling the detection of fully AI reviews and human reviews refined by LLMs.