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Furong Jia

2 accepted papers

2024

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting

AAAI 2024technical

Time series forecasting is an essential area of machine learning with a wide range of real-world applications. Most of the previous forecasting models aim to capture dynamic characteristics from uni-modal numerical historical data. Although extra knowledge can boost the time series forecasting perfo…

Cited by 55SourcePDFScholar
2024

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

ICLR 2024poster

The past decade has witnessed significant advances in time series modeling with deep learning. While achieving state-of-the-art results, the best-performing architectures vary highly across applications and domains. Meanwhile, for natural language processing, the Generative Pre-trained Transformer (…