A benchmark is not merely a collection of test questions; it naturally induces an empirical measure over difficulty. In this work, we develop this measure-based view of benchmark evaluation. This pers
This work formalizes benchmark evaluation through difficulty measures, identifies failure modes of measure mismatch and coverage gaps, and proposes diagnostic metrics and a rewriting algorithm to improve benchmark coverage.
A benchmark is not merely a collection of test questions; it naturally induces an empirical measure over difficulty. In this work, we develop this measure-based view of benchmark evaluation. This perspective allows us to identify and formalize two central failure modes: measure mismatch, where the benchmark difficulty distribution differs from the intended difficulty distribution, and coverage gaps, where uncovered regions along the difficulty axis prevent benchmarks from detecting meaningful localized training progress. We propose two diagnostic metrics that capture these two failure modes and provide rigorous theoretical guarantees. Empirically, we analyze 25 popular benchmarks spanning…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Your Benchmark Is an Empirical Measure Over Difficulty was first seen on Hugging Face · Daily papers on Oct 30, 2026. Since then it has appeared in 15 checks on 2 different days. Its best position was #2 of 30, reached on Oct 30, 07:28 UTC. It is #3 right now, holding steady at #3 over the last 6 checks.
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#2 on Hugging Face · Daily papers, on Oct 30, 07:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 30, 2026 and has been on the list on 2 days (15 checks) since.