AI RESEARCH
TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
arXiv CS.LG
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ArXi:2510.01111v2 Announce Type: replace Time series data is fundamental to decision-making across many domains including healthcare, finance, power systems, and logistics. However, analyzing this data correctly often requires incorporating unstructured contextual information, answering domain-specific questions, and generating natural language explanations - capabilities that traditional time series models lack.