MMLU Benchmark Inconsistency and Evaluation Traceability
September 13, 2026
Minor differences in MMLU implementations, such as prompt formats and grader setups, lead to incomparable accuracy scores like 0.781 versus 0.79. Achieving true comparability requires content-addressed evaluation frames to track specific splits and network access.
HOW THIS AFFECTS YOU
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builderYou cannot rely on raw MMLU scores alone for comparing model performance in production.
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researcherYou must use content-addressed evaluation objects to ensure benchmark reproducibility.