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While Large Language Models (LLMs) dominate tasks like natural language processing and computer vision, harnessing their power for spatial-temporal forecasting remains challenging.
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Adaptive graph convolutional recurrent network for traffic forecasting
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, and Can Wang · 2020
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Time-llm: Time series forecasting by reprogramming large language models
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W Dai, J Li, D Li, AMH Tiong, J Zhao, W Wang, B Li, P Fung, and S Hoi · 2023
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Large language models are zero-shot time series forecasters
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Llama: Open and efficient foundation language models
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One fits all: Power general time series analysis by pretrained lm
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