$$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting$

$\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

9 March 2024

Anderson Schneider

Yuriy Nevmyvaka

Papers citing "$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"

8 / 8 papers shown

Title
Structural Knowledge Informed Continual Multivariate Time Series Forecasting Zijie Pan Yushan Jiang Dongjin Song Sahil Garg Kashif Rasul Anderson Schneider Yuriy Nevmyvaka CLL AI4TS 32 3 0 20 Feb 2024
Empowering Time Series Analysis with Large Language Models: A Survey Yushan Jiang Zijie Pan Xikun Zhang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song AI4TS AIFin 87 47 0 05 Feb 2024
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures T. Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 95 152 0 04 Jul 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities Yihong Tang Ao Qu A. Chow W. Lam S. Wong Wei-Ying Ma AI4TS 97 54 0 08 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 94 11 0 18 Jan 2021