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Jae-Gil Lee

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#machine learning Preprint Sep 2026

Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

To address the sequential and evolving nature of time series, the Online Time Series Forecasting (OTSF) task has been extensively studied in multiple domains. Existing research focuses on adapting to non-stationary environments by employing memory buffer-based retrieval strategies. However, we observe that such framewo...

Seungyoon Choi, Hyunchul C. Kim, Jae-Gil Lee et al. · 1 citation

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