A semi-synthetic augmentation creates the CAF-7M dataset and demonstrates that improved context data enables multimodal models to outperform unimodal baselines in context-aided forecasting.
For a window with horizon lengthT, let ˆy1:T be the Chronos point forecast andy1:T the ground truth
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Overcoming the Modality Gap in Context-Aided Forecasting
A semi-synthetic augmentation creates the CAF-7M dataset and demonstrates that improved context data enables multimodal models to outperform unimodal baselines in context-aided forecasting.