Time-series diagnostic systems rarely rely on retrieving relevant historical cases, and when they do, retrieval is evaluated only indirectly through downstream prediction. We introduce READ-Bench, a benchmark for historical-case retrieval across 12 diagnostic datasets, centered on multivariate time series, that defines...
Gerardo Pastrana, Hao-Jun Li, Dhruv Mehta et al.· 0 citations
Time-series diagnostic systems rarely rely on retrieving relevant historical cases, and when they do, retrieval is evaluated only indirectly through downstream prediction. We introduce READ-Bench, a benchmark for historical-case retrieval across 12 diagnostic datasets, centered on multivariate time series, that defines...
Gerardo Pastrana, Hao-Jun Li, Dhruv Mehta et al.· 0 citations
DIA is presented, a system of three agents that compresses this workflow by treating autonomous coding agents (ACAs) as a first-class abstraction, demonstrating that an architecture grounded in execution, built on ACAs and a shared memory, generalizes across the data intelligence workload with adaptation confined to na...
Anoushka Vyas, Aarushi Dhanuka, S. Pakazad et al.· arXiv.org· 0 citations
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