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Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

3 October 2023
Ming Jin
Shiyu Wang
Lintao Ma
Zhixuan Chu
James Y. Zhang
X. Shi
Pin-Yu Chen
Yuxuan Liang
Yuan-Fang Li
Shirui Pan
Qingsong Wen
    AI4TS
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Papers citing "Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

50 / 59 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
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
Rahuul Rangaraj
Jimeng Shi
Azam Shirali
Rajendra Paudel
Yanzhao Wu
Giri Narasimhan
32
0
0
02 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
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Yu-Hsiang Lan
Anton Alyakin
AI4TS
21
0
0
01 May 2025
Multimodal Conditioned Diffusive Time Series Forecasting
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su
Yuanhe Tian
Yan Song
DiffM
AI4TS
57
0
0
28 Apr 2025
Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations
Cong Qi
Hanzhang Fang
Siqi Jiang
Tianxing Hu
Wei Zhi
20
0
0
22 Apr 2025
Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families
Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families
Shahriar Noroozizadeh
Sayantan Kumar
Jeremy C. Weiss
AI4TS
21
0
0
14 Apr 2025
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
Jianhao Li
Xianchao Xiu
37
0
0
31 Mar 2025
Can LLMs Understand Time Series Anomalies?
Can LLMs Understand Time Series Anomalies?
Zihao Zhou
Rose Yu
AI4TS
79
8
0
13 Mar 2025
Data Driven Decision Making with Time Series and Spatio-temporal Data
Data Driven Decision Making with Time Series and Spatio-temporal Data
Bin Yang
Yuxuan Liang
Chenjuan Guo
Christian S. Jensen
AI4TS
58
0
0
11 Mar 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
Kanghui Ning
Zijie Pan
Yu Liu
Yushan Jiang
J. Zhang
Kashif Rasul
Anderson Schneider
Lintao Ma
Yuriy Nevmyvaka
Dongjin Song
VLM
AI4TS
52
1
0
06 Mar 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
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Jianzhe Xue
Dongcheng Yuan
Zhanxi Ma
Tiankai Jiang
Yu Sun
Haibo Zhou
Xuemin Shen
60
0
0
03 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
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
56
0
0
17 Feb 2025
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
Yongzhi Qi
Hao Hu
Dazhou Lei
Jianshen Zhang
Zhengxin Shi
Yulin Huang
Zhengyu Chen
Xiaoming Lin
Zuo-jun Shen
AI4TS
AI4CE
39
1
0
28 Jan 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
TPM
AI4TS
35
0
0
03 Jan 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
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Jiapu Wang
Kai Sun
Linhao Luo
Wei Wei
Yongli Hu
Alan Wee-Chung Liew
Shirui Pan
Baocai Yin
47
5
0
31 Dec 2024
Quantized symbolic time series approximation
Quantized symbolic time series approximation
Erin Carson
Xinye Chen
Cheng Kang
AI4TS
71
0
0
20 Nov 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
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman
Daksh Aggarwal
Michael Freeman
Saurabh Singh
Chen Sun
AI4TS
41
3
0
29 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
38
0
0
22 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
47
2
0
18 Oct 2024
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
Zechen Li
Shohreh Deldari
Linyao Chen
Hao Xue
Flora D. Salim
34
6
0
14 Oct 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
Towards Generalisable Time Series Understanding Across Domains
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
M. Menten
Daniel Rueckert
AI4TS
33
1
0
09 Oct 2024
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J. B. Liu
Nicolas Boullé
Raphael Sarfati
Christopher Earls
20
0
0
07 Oct 2024
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning
  Large Language Models
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
Zefang Liu
Yinzhu Quan
21
0
0
02 Oct 2024
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger
Houtan Bastani
Chen Yueh-Han
Zachary Jacobs
Danny Halawi
Fred Zhang
P. Tetlock
33
6
0
30 Sep 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
Zhenyu Yin
Shang Liu
Guangyuan Xu
35
0
0
11 Sep 2024
Beam Prediction based on Large Language Models
Beam Prediction based on Large Language Models
Yucheng Sheng
Kai Huang
Le Liang
Peng Liu
Shi Jin
Geoffrey Ye Li
19
7
0
16 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong Son-Hy
42
0
0
11 Aug 2024
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting
Luoxiao Yang
Yun Wang
Xinqi Fan
Israel Cohen
Jingdong Chen
Yue Zhao
Zijun Zhang
AI4TS
38
5
0
10 Jul 2024
Macroeconomic Forecasting with Large Language Models
Macroeconomic Forecasting with Large Language Models
Andrea Carriero
Davide Pettenuzzo
Shubhranshu Shekhar
36
4
0
01 Jul 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
Yuxuan Shu
Vasileios Lampos
AI4TS
AI4CE
55
0
0
11 Jun 2024
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power
  and Interpretability
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
Kunpeng Xu
Lifei Chen
Shengrui Wang
AI4TS
24
52
0
04 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
33
2
0
04 Jun 2024
Large Language Models are Zero-Shot Next Location Predictors
Large Language Models are Zero-Shot Next Location Predictors
Ciro Beneduce
Bruno Lepri
Massimiliano Luca
33
7
0
31 May 2024
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami
Zhaonan Li
Saumya Sinha
Truc Nguyen
48
1
0
30 May 2024
Scaling Law for Time Series Forecasting
Scaling Law for Time Series Forecasting
Jingzhe Shi
Qinwei Ma
Huan Ma
Lei Li
AI4TS
31
8
0
24 May 2024
Traffic Performance GPT (TP-GPT): Real-Time Data Informed Intelligent
  ChatBot for Transportation Surveillance and Management
Traffic Performance GPT (TP-GPT): Real-Time Data Informed Intelligent ChatBot for Transportation Surveillance and Management
Bingzhang Wang
Zhiyu Cai
Muhammad Monjurul Karim
Chenxi Liu
Yinhai Wang
31
6
0
05 May 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
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival
  Human Crowd Accuracy
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
P. Schoenegger
Indre Tuminauskaite
Peter S. Park
Rafael Valdece Sousa Bastos
P. Tetlock
29
24
0
29 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot
  Multivariate Time Series Forecasting through Next Curve Shape Prediction
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
Cheng Feng
Long Huang
Denis Krompass
AI4TS
8
5
0
12 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey
Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang
Wenjie Du
Wei Cao
Keli Zhang
Wenjia Wang
Yuxuan Liang
Qingsong Wen
Yuxuan Liang
Qingsong Wen
AI4TS
BDL
SyDa
38
35
0
06 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
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