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Jehyeok Yeon

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#artificial intelligence Preprint Oct 2026

Evaluating Model Capabilities After Benchmark Saturation

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. Yet benchmark items produce far more information than the scores we t...

Morio Hamada, Jehyeok Yeon, Matteo Migliarini et al. · 0 citations

Preprint Jul 2026

ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D

ResearchArena is released as a modular framework for evaluating sabotage and control in automated AI R&D with ResearchArena, a framework spanning four long-horizon tasks: safety post-training, capabilities post-training, CUDA-kernel optimization, and inference-server optimization.

Lena Libon, Ben Rank, Jehyeok Yeon et al. · 0 citations