Chenglong Ge

ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables

Real-world systems often exhibit complex behaviors and are influenced by various external factors, making the integration of exogenous variables essential for accurate and robust time series forecasting. However, modeling time series with exogenous variables remains challenging due to dynamic cross-