From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection Xinlei Wang

Neural Information Processing Systems 

This paper introduces a novel approach that leverages Large Language Models (LLMs) and Generative Agents to enhance time series forecasting by reasoning across both text and time series data.

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