FM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecasting

Rentao Gu, Yihang Ding, Junjie Li +5

Recent advances in Large Language Models (LLMs) have spurred cross-modal solutions for time-series forecasting. However, existing methods rely heavily on textual prompts for modali…