LLMFew, a framework that fine-tunes GPT-2 with LoRA after a convolutional patch encoder, substantially improves few-shot multivariate time series classification accuracy on 10 benchmark datasets.
In: 2018 IEEE International Conference on Big Data (Big Data), pp
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Large Language Models are Few-shot Multivariate Time Series Classifiers
LLMFew, a framework that fine-tunes GPT-2 with LoRA after a convolutional patch encoder, substantially improves few-shot multivariate time series classification accuracy on 10 benchmark datasets.