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Author

S. Pakazad

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#artificial intelligence Preprint Sep 2026

READ-Bench: Benchmarking Historical Instance Retrieval for Time-Series Diagnosis

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
#artificial intelligence Review Jun 2026

Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents

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. · 0 citations

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