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…