CoCoReviewBench curates 3,900 ICLR and NeurIPS papers into category-specific subsets with discussion-based annotations to evaluate AI reviewers on completeness and correctness rather than human review overlap.
QUAL-EXP: Introducing a new dataset or benchmark is ORIG-EXP; critiquing the thoroughness of experiments on existing datasets is QUAL-EXP
1 Pith paper cite this work. Polarity classification is still indexing.
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CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
CoCoReviewBench curates 3,900 ICLR and NeurIPS papers into category-specific subsets with discussion-based annotations to evaluate AI reviewers on completeness and correctness rather than human review overlap.