LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting

Recent research has shown that large language models (LLMs) can be effectively used for real-world time series forecasting due to their strong natural language understanding capabilities. However, aligning time series into semantic spaces of LLMs comes with high computational costs and inference com...

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Bibliographische Detailangaben

Hauptverfasser:	Zhang, Lingzheng, Shen, Lifeng, Zheng, Yimin, Piao, Shiyuan, Li, Ziyue, Tsung, Fugee
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Learning
Online-Zugang:	Volltext bestellen
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