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New MM-ISTS framework uses multimodal LLMs for irregular time series forecasting

Researchers have developed MM-ISTS, a novel framework designed to improve the forecasting of irregularly sampled time series data. This approach integrates multimodal vision-text large language models (MLLMs) to capture…