mlsanityData to 14 Oct 2026

Resolution Diagnostics for Paired LLM Evaluation

arXiv 2605.30315 ↗First posted 28 May 2026cs.CL cs.LGcited by 7

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Abstract (arXiv)

Across two public LLM leaderboards, many displayed pairwise rankings do not meet a conventional paired-test resolution target under the actual paired evaluation design: 11 of 40 Open LLM Leaderboard v1 pairwise comparisons and 4 of 9 MMLU-Pro top-10 adjacent-rank pairs are unresolved at (alpha, 1-beta) = (0.05, 0.8). The MMLU-Pro count rises to 6/9 under real subject-level clustering and stays at 5-6 out of 9 in 99.9% of category-bootstrap resamples. We frame paired LLM evaluation as a hypothesis-testing problem, invert level-alpha, power-(1-beta) tests, and report a per-pair resolution ratio q = N/N* as the primary diagnostic. A sharp small-effect expansion with an explicit second-order constant shows that the widely-used unpaired Cohen-h-plus-(1-rho) shortcut deviates from the correct N* by approximately a factor of two in the close-comparison regime, a deficit that three of five off-the-shelf calculators(Cohen 1988, G*Power, R pwr) silently inherit when the user post-multiplies their per-arm output by (1-rho). The unresolved-pair pattern remains under multiplicity correction and anytime-valid sequential testing.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 10 of its 25 references that are in the map. First posted on arXiv 28 May 2026.

Builds on

10 of 25 references.

References · 10

  1. 2024tinyBenchmarks: evaluating LLMs with fewer examplescited by 310
  2. 2018Time-uniform, nonparametric, nonasymptotic confidence sequencescited by 229
  3. 2020Estimating means of bounded random variables by bettingcited by 169
  4. 2022Game-theoretic statistics and safe anytime-valid inferencecited by 155
  5. 2024Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluationscited by 148
  6. 2020With Little Power Comes Great Responsibilitycited by 142
  7. 2025Measuring what Matters: Construct Validity in Large Language Model Benchmarkscited by 119
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  9. 2024Quantifying Variance in Evaluation Benchmarkscited by 54
  10. 2025Medical Large Language Model Benchmarks Should Prioritize Construct Validitycited by 38

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 7.

7 papers.