Author

Kevin O'Sullivan

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#machine learning Preprint Aug 2026

TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

Precise anomaly localization over long-context time series is a crucial task in monitoring applications across clinical care, industrial operations, financial services, and logistics, where brief evidence may hide inside long spans of high-frequency data. Time-Series Language Models (TSLMs) are able to ingest time seri...

Nicolas Zumarraga, Lorenzo Steno, Ning Wang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

RestoreBench: Can AI Agents Restore Power Flow Convergence?

A benchmark that evaluates diagnostic and resolving non-convergent power flow cases across multiple LLMs and three architectures, providing a reproducible foundation for developing agentic AI systems for power system planning and operation.

Riccardo Mansutti, Andrea Pomarico, Robert Jakob et al. · 0 citations