AI RESEARCH

GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing

arXiv CS.CL

ArXi:2605.27204v1 Announce Type: new Scientific paper evaluation often involves not only assessing a manuscript itself, but also relating it to contemporaneous research and prior literature. However, existing LLM-based methods typically model these signals separately and lack a unified mechanism for propagating review evidence across papers. We propose $\textbf{GraphReview}$, a graph-based LLM framework that formulates paper evaluation as review-signal message passing over a semantic paper graph.