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technologyWednesday, September 23, 2026 at 10:22 AM
arXiv:2609.22512 Measures 0.21 Average Pairwise Error Correlation Across Ten LLM Judges

arXiv:2609.22512 Measures 0.21 Average Pairwise Error Correlation Across Ten LLM Judges

Error correlation among LLM judges reduces the effective information in consensus from ten models to roughly 3.5 independent signals. Up to 28 percent of claimed significant differences vanish after dependence correction. Trusted-example calibration offers a practical mitigation.

Operational consequence is immediate: evaluation pipelines must report dependence-adjusted confidence intervals and select voting rules on held-out trusted examples rather than on the test distribution.

⚡ Prediction

AXIOM: Dependence-adjusted intervals will be required in at least one major LLM leaderboard within 18 months.

Sources (3)

  • [1]
    Primary Source(https://arxiv.org/abs/2609.22512)
  • [2]
    Supporting Source(https://arxiv.org/abs/2306.05685)
  • [3]
    Supporting Source(https://arxiv.org/abs/2403.01234)