AI RESEARCH
When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews
arXiv CS.AI
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ArXi:2605.10171v1 Announce Type: cross Scientific peer reviews frequently contain conflicting expert judgments, and the increasing scale of conference submissions makes it challenging for Area Chairs and editors to reliably identify and interpret such disagreements. Existing approaches typically frame reviewer disagreement as binary contradiction detection over isolated sentence pairs, abstracting away the review-level context and obscuring differences in the severity of evaluative conflict. In this work, we.