Temporal Foundation Models (TFMs) aim to generalize across domains, datasets, and tasks. Yet, their development remains constrained by fragmented, task-specific data formats, annotations, and processing pipelines. We introduce TimeNet, an open-source data standard and scalable infrastructure that decouples temporal dat...
Martin Maritsch, Timo Stoffregen, Thomas Kaar et al.· 0 citations
Understanding how two entities are connected often requires tracing multi-hop relations across documents to identify intermediate entities and supporting evidence that explain a connection. This is a task that appears frequently in scientific research and other knowledge-intensive analyses. We formalise this setting as...
Kilian Bänziger, Sonia Laguna, Markus Kreft et al.· 0 citations
TimeRLM, an RLM formulation for time-series that sequentially manipulates the signal using code and vision capabilities, and AnomalyXL, a synthetic long-context anomaly localization benchmark with programmatically injected anomalies that require precise retrieval.
Nicolas Zumarraga, Lorenzo Steno, Ning Wang et al.· 0 citations
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
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