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Found 2 papers, 2 papers with code
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Foundation models of time series have not been fully developed due to the limited availability of time series corpora and the underexploration of scalable pre-training.
Timer: Transformers for Time Series Analysis at Scale
Continuous progresses have been achieved as the emergence of large language models, exhibiting unprecedented ability in few-shot generalization, scalability, and task generality, which is however absent in time series models.
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