AIBullisharXiv – CS AI · Apr 156/10
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TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
TimeSAF introduces a hierarchical asynchronous fusion framework that improves how large language models guide time series forecasting by decoupling semantic understanding from numerical dynamics. This addresses a fundamental architectural limitation in existing methods and demonstrates superior performance on standard benchmarks with strong generalization capabilities.