Large language models (LLMs) are being applied to time series forecasting. But are
language models actually useful for time series? In a series of ablation studies on three …

Large Language Models (LLMs) have transformed Natural Language Processing (NLP) and
Software Engineering by fostering innovation, streamlining processes, and enabling data …

Understanding time series is crucial for its application in real-world scenarios. Recently,
large language models (LLMs) have been increasingly applied to time series tasks …

Large language models (LLMs), with demonstrated reasoning abilities across multiple
domains, are largely underexplored for time-series reasoning (TsR), which is ubiquitous in …

Multi-modal language model has made advanced progress in vision and audio, but still
faces significant challenges in dealing with complex reasoning tasks in the time series …

Accurate prediction helps to achieve supply-demand balance in energy systems, supporting
decision-making and scheduling. Traditional models, lacking AI-assisted automation, rely on …