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IBM Research, Massachusetts Institute of Technology ∗First authors ⋄Top contributors
MIT CSAIL2
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Systematic gaps in AI evaluation reporting are exposed, revealing inconsistencies that hinder reliable comparisons across thousands of models and benchmarks.
Stop re-running full benchmarks: Calibrate new LLM datasets against existing suites with just 100 "anchor" questions and still get highly accurate performance predictions.
