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.
CLAR-NOT: Missing code, hyperparameters or data splits fall under QUAL-REP; undefined variables or inconsistent notation fall under CLAR-NOT
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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.