Shunnan Wang

FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting

Large Language Models (LLMs) have recently shown promise in Time Series Forecasting (TSF) by effectively capturing intricate time-domain dependencies. However, our preliminary experiments reveal that standard LLM-based approaches often fail to capture global correlations, limiting predictive perform