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Can We Trust Item Response Theory for AI Evaluation?

Jiang, Han et al.
arXiv (All) · Papers
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artificial-intelligence
AI benchmarks increasingly leverage item-level statistical models, particularly item response theory (IRT), to estimate capabilities, rank systems, select informative examples, and diagnose benchmark quality. However, AI benchmark data often departs from the data regimes encountered in human testing
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