AI RESEARCH
HEARTS: Benchmarking LLM Reasoning on Health Time Series
arXiv CS.LG
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ArXi:2603.06638v1 Announce Type: new The rise of large language models (LLMs) has shifted time series analysis from narrow analytics to general-purpose reasoning. Yet, existing benchmarks cover only a small set of health time series modalities and tasks, failing to reflect the diverse domains and extensive temporal dependencies inherent in real-world physiological modeling. To bridge these gaps, we