ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.01728
  4. Cited By
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
ArXivPDFHTML

Papers citing "Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

50 / 239 papers shown
Title
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
Yueyang Yao
Jiajun Li
Xingyuan Dai
MengMeng Zhang
Xiaoyan Gong
Fei-Yue Wang
Yisheng Lv
AI4TS
24
0
0
16 May 2025
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
Yuanzhao Zhang
William Gilpin
AI4TS
17
0
0
16 May 2025
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
Mohammadmahdi Ghasemloo
Alireza Moradi
AI4TS
21
0
0
15 May 2025
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
37
2
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
43
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
52
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
26
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
60
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
27
0
0
22 Apr 2025
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Jia Liu
Cheng Jinguo
Xia Fang
Zhenyuan Ma
Yuankai Wu
CLL
AI4TS
LRM
42
0
0
20 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
32
0
0
19 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
28
0
0
14 Apr 2025
Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs
Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs
Taibiao Zhao
Xiaobing Chen
Mingxuan Sun
AI4TS
38
0
0
10 Apr 2025
From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting
From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting
Xinyu Zhang
Shanshan Feng
Xutao Li
AI4TS
26
0
0
09 Apr 2025
Evaluation of the impact of expert knowledge: How decision support scores impact the effectiveness of automatic knowledge-driven feature engineering (aKDFE)
Evaluation of the impact of expert knowledge: How decision support scores impact the effectiveness of automatic knowledge-driven feature engineering (aKDFE)
Olof Björneld
Tora Hammar
Daniel Nilsson
Alisa Lincke
Welf Löwe
18
0
0
08 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TS
AI4CE
27
0
0
05 Apr 2025
Efficient Model Selection for Time Series Forecasting via LLMs
Efficient Model Selection for Time Series Forecasting via LLMs
Wang Wei
Tiankai Yang
Hongjie Chen
Ryan Rossi
Yue Zhao
Franck Dernoncourt
Hoda Eldardiry
AI4TS
31
1
0
02 Apr 2025
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
Emadeldeen Eldele
Mohamed Ragab
Xu Qing
Edward
Zhenghua Chen
Min Wu
Xiaomeng Li
Jay Lee
AI4CE
33
0
0
02 Apr 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad
Anil Pahwa
Balasubramaniam Natarajan
AI4TS
35
1
0
31 Mar 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
Yosuke Yamaguchi
Issei Suemitsu
Wenpeng Wei
AI4TS
48
0
0
31 Mar 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
42
0
0
31 Mar 2025
Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting
Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting
Eftychia Makri
Georgios Palaiokrassas
Sarah Bouraga
Antigoni Polychroniadou
Leandros Tassiulas
AIFin
32
0
0
29 Mar 2025
Leveraging Language Models for Analyzing Longitudinal Experiential Data in Education
Leveraging Language Models for Analyzing Longitudinal Experiential Data in Education
Ahatsham Hayat
Bilal Khan
Mohammad Hasan
AI4Ed
73
0
0
27 Mar 2025
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction
Haomin Yu
Tianyi Li
Kristian Torp
Christian S. Jensen
46
0
0
27 Mar 2025
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
Zheng Tan
Yiwen Nie
Wenfa Wu
Guanyu Zhang
Yanze Liu
...
Chao Yang
Jiaxuan Fan
Yuan He
Hongsheng Qi
Yangzhou Du
AI4TS
42
0
0
27 Mar 2025
Refining Time Series Anomaly Detectors using Large Language Models
Refining Time Series Anomaly Detectors using Large Language Models
Alan Yang
Yulin Chen
Sean Lee
Venus Montes
AI4TS
35
0
0
26 Mar 2025
Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting
Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting
Davide Villaboni
A. Castellini
Ivan Luciano Danesi
Alessandro Farinelli
AI4TS
58
0
0
22 Mar 2025
A Survey on Mathematical Reasoning and Optimization with Large Language Models
A Survey on Mathematical Reasoning and Optimization with Large Language Models
Ali Forootani
OffRL
LRM
AI4CE
45
0
0
22 Mar 2025
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
81
1
0
18 Mar 2025
Can LLMs Understand Time Series Anomalies?
Can LLMs Understand Time Series Anomalies?
Zihao Zhou
Rose Yu
AI4TS
82
8
0
13 Mar 2025
BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models
Can Zheng
Jiguang He
Guofa Cai
Zitong Yu
Chung G. Kang
43
0
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
142
1
0
11 Mar 2025
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
Wenzhe Niu
Zongxia Xie
Yanru Sun
Wei He
Man Xu
Chao Hao
AI4TS
50
1
0
11 Mar 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li
Mingchen Li
Ruisheng Diao
AI4TS
60
0
0
10 Mar 2025
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph
Shule Hao
Junpeng Bao
Chuncheng Lu
AI4TS
KELM
49
0
0
10 Mar 2025
TimeFound: A Foundation Model for Time Series Forecasting
Congxi Xiao
Jingbo Zhou
Yixiong Xiao
Xinjiang Lu
Le Zhang
Hui Xiong
AI4TS
49
0
0
06 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
57
1
0
06 Mar 2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
Haoran Fan
Bin Li
Yixuan Weng
Shoujun Zhou
AI4TS
62
0
0
05 Mar 2025
Teaching Metric Distance to Autoregressive Multimodal Foundational Models
Jiwan Chung
Saejin Kim
Yongrae Jo
J. Park
Dongjun Min
Youngjae Yu
73
0
0
04 Mar 2025
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration
Alicia Russell-Gilbert
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph E. Jabour
Thomas Arnold
Joshua Church
41
0
0
04 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
140
3
0
04 Mar 2025
HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation
Hongye Cheng
Tianyu Wang
Guangsi Shi
Zexing Zhao
Yanwei Fu
SLR
47
1
0
03 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
68
0
0
03 Mar 2025
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat
Zongxia Xie
Yanru Sun
Tianyu Jia
Q. Hu
AI4TS
141
0
0
02 Mar 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
Junzhe Zhang
Xuan Yang
T. Wang
Yu Yao
Aleksandr Petiushko
B. Li
35
0
0
28 Feb 2025
SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model
SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model
Xinyu Wang
Feng Liu
Rui Su
Zhilin Wang
Junlin Wu
Wanli Ouyang
VLM
133
0
0
27 Feb 2025
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
Yuhao Zheng
Chenghua Gong
Rui Sun
Juyuan Zhang
Liming Pan
Linyuan Lv
37
0
0
25 Feb 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
47
0
0
25 Feb 2025
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
Jiaheng Li
Donghe Li
Ye Yang
Huan Xi
Yu Xiao
Li Sun
Dou An
Qingyu Yang
AI4TS
65
0
0
24 Feb 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
Daoyu Wang
Mingyue Cheng
Ziqiang Liu
Qiang Liu
Enhong Chen
AI4TS
DiffM
53
1
0
24 Feb 2025
12345
Next