Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting.
arXiv:2505.13175v2 Announce Type: replace Abstract: Adapting pretrained Large Language Models (LLMs) for time series forecasting primarily relies on token-level linguistic-temporal alignment, leading to the stacking of logically disjointed tokens as input. Whi
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