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Zhang xiaoxing

1 accepted papers

2026

Semantic-Enhanced Time-Series Forecasting via Large Language Models

ICLR 2026poster

Time series forecasting plays a significant role in finance, energy, meteorology, and IoT applications. Recent studies have leveraged the generalization capabilities of large language models (LLMs) to adapt to time series forecasting, achieving promising performance. However, existing studies focus…

Cited by 0SourcecodeScholar