arxiv
PublishedAugust 28, 2026 at 4:00 AM
—neutral
SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting
Publisher summary· verbatim
arXiv:2608.26829v1 Announce Type: new Abstract: Time series forecasting models operate on raw numerical sequences, lacking the semantic knowledge that domain experts implicitly leverage, such as the physical meaning of each variable, its statistical behavior, and its temporal dynamics. Recent effort
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Originally published on arxiv ↗