A recent research project, IDKMesh, has demonstrated that simply adding more reviewers to a verification process doesn't necessarily increase its effectiveness. A panel of 25 program-based verifiers was tested and found to have an effective size of only 1.00, meaning it provided no more reliable results than a single reviewer. This challenges the common assumption that more reviewers equate to more independent evidence, and has significant implications for those developing and deploying AI/ML systems that rely on review processes. Future work should focus on evaluating whether this phenomenon holds true for human reviewers and LLM-based judges.
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