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D. Bikel

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#natural language process... May 2026

Auditing LLM Benchmarks with Item Response Theory

An Item Response Theory-based indicator is introduced that surfaces likely mislabels at 95% precision in the top 200 examples across seven preference and multiple-choice benchmarks using responses from 114 models, outperforming a supervised classifier.

Sander Land, D. Bikel · arXiv.org · 2 citations