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

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

8 October 2023
Defu Cao
Furong Jia
Sercan Ö. Arik
Tomas Pfister
Yixiang Zheng
Wen Ye
Yan Liu
    AI4TS
ArXivPDFHTML

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

23 / 23 papers shown
Title
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Chenxi Liu
Hao Miao
Qianxiong Xu
Shaowen Zhou
Cheng Long
Yan Zhao
Ziyue Li
Rui Zhao
AI4TS
33
1
0
04 May 2025
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Wenfa Wu
Guanyu Zhang
Zheng Tan
Yi Wang
Hongsheng Qi
AI4TS
35
1
0
02 May 2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Ziran Liang
Rui An
Wenqi Fan
Yanghui Rao
Yuxuan Liang
AI4TS
35
0
0
23 Apr 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li
Yu Huang
Chang Xu
Viktor Schlegel
Ren-He Jiang
R. Batista-Navarro
Goran Nenadic
Jiang Bian
DiffM
AI4CE
88
3
0
04 Mar 2025
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
J. T. Wang
40
0
0
25 Feb 2025
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
Mingyu Jin
Hua Tang
Chong Zhang
Qinkai Yu
Chengzhi Liu
Suiyuan Zhu
Yongfeng Zhang
Mengnan Du
AI4TS
93
26
0
31 Dec 2024
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TS
AI4CE
79
1
0
20 Nov 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
38
4
0
05 Nov 2024
Generalizable autoregressive modeling of time series through functional
  narratives
Generalizable autoregressive modeling of time series through functional narratives
Ran Liu
Wenrui Ma
Ellen L. Zippi
Hadi Pouransari
Jingyun Xiao
...
Behrooz Mahasseni
Juri Minxha
Erdrin Azemi
Eva L. Dyer
Ali Moin
AI4TS
25
0
0
10 Oct 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
62
16
0
12 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
34
15
0
29 Feb 2024
An Examination on the Effectiveness of Divide-and-Conquer Prompting in
  Large Language Models
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Yizhou Zhang
Lun Du
Defu Cao
Qiang Fu
Yan Liu
LRM
20
7
0
08 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFin
AI4TS
66
107
0
06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo
Chenghao Liu
Akshat Kumar
Caiming Xiong
Silvio Savarese
Doyen Sahoo
AI4TS
107
152
0
04 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
14
0
30 Jan 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
31
116
0
16 Oct 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series
  Forecasters
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Ching Chang
Wei-Yao Wang
Wenjie Peng
Tien-Fu Chen
AI4TS
25
43
0
16 Aug 2023
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
Xinli Yu
Zheng Chen
Yuan Ling
Shujing Dong
Zongying Liu
Yanbin Lu
AIFin
AI4TS
110
67
0
19 Jun 2023
Sparse Interaction Additive Networks via Feature Interaction Detection
  and Sparse Selection
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
James Enouen
Yan Liu
19
11
0
19 Sep 2022
Less Is More: Fast Multivariate Time Series Forecasting with Light
  Sampling-oriented MLP Structures
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
145
0
04 Jul 2022
Training language models to follow instructions with human feedback
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
301
11,730
0
04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
164
3,799
0
14 Dec 2020
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