Author

Daniel Donnelly

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#artificial intelligence Preprint Sep 2026

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

This work introduces SEABench, a benchmark for studying endogenous misalignment arising from agent self-evolution, with 48 longitudinal task sequences that span multiple evolution surfaces, task domains, and harm types in a rich personal-assistant environment and shows that qualitatively different safety behaviors emer...

Saswat Das, Parvati Viswanathan, Daniel Donnelly 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