AINeutralarXiv – CS AI · 7h ago6/10
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When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
A systematic study identifies that nearly half of 60 language model benchmarks exhibit saturation—a condition where models perform so well that benchmarks lose discriminative power. The research reveals that expert curation, not public data exposure, determines benchmark resilience, suggesting that thoughtful design choices can extend evaluation tool longevity.