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Evaluating Model Capabilities After Benchmark Saturation

arXiv:2610.20667v1 Announce Type: new Abstract: Rapid advances in AI capabilities are causing benchmarks to saturate. Once several models approach perfect scores, a benchmark loses its power to differentiate between them, and with it its utility for informing AI safety cases and frontier policies.…

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  1. 2026-10-16 04:00 · arXiv cs.AI
    Evaluating Model Capabilities After Benchmark Saturation

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