Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

no code implementations • 15 Feb 2024 • Jing Su, Chufeng Jiang, Xin Jin, Yuxin Qiao, Tingsong Xiao, Hongda Ma, Rong Wei, Zhi Jing, Jiajun Xu, Junhong Lin

This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future directions.

Anomaly Classification Anomaly Detection +3