Introduces RevCI benchmark and IMPACT multi-agent framework for evidence-level contradiction detection and graded intensity scoring in peer reviews, distilled into efficient TIDE model.
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Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.
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When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews
Introduces RevCI benchmark and IMPACT multi-agent framework for evidence-level contradiction detection and graded intensity scoring in peer reviews, distilled into efficient TIDE model.
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Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions
Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.