作者位次 #2/5ACL 2026Poster· Natural Language Processing
M arkovian Linguistic-Temporal Bridge: Unlocking the Potential of LLM s for Time Series Forecasting
Siming Sun · Kai Zhang · Xuejun Jiang · Wenchao Meng · Qinmin Yang
摘要
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. While empirically effective, these methods overlook a fundamental capability of LLMs: modeli...