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ROAR: Retrieval Opportunity-Aware Refinement for Zero-Shot Time Series Forecasting
Retrieval augmentation provides time series forecasters with historical continuations, yet even candidates that outperform the base forecast may fail to improve the final prediction. We propose ROAR, a Retrieval Opportunity-Aware Refinement framework for zero-shot time series forecasting. To better
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