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One Fits All:Power General Time Series Analysis by Pretrained LM
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One Fits All:Power General Time Series Analysis by Pretrained LM

Neural Information Processing Systems (NeurIPS), 2023
23 February 2023
Tian Zhou
Peisong Niu
Qingsong Wen
Liang Sun
Rong Jin
    AI4TS
ArXiv (abs)PDFHTMLGithub (558★)

Papers citing "One Fits All:Power General Time Series Analysis by Pretrained LM"

50 / 372 papers shown
Title
STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
Junjie Fan
Hongye Zhao
Linduo Wei
Jiayu Rao
Guijia Li
Jiaxin Yuan
Wenqi Xu
Yong Qi
AI4TS
366
0
0
04 Dec 2025
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu
Jingyuan Wang
Zexuan Cheng
Yilong Zhou
Weizhi Wang
Juhua Pu
Chao Li
Changqing Ma
36
0
0
01 Dec 2025
FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting
FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting
Yafei Lyu
Hao Zhou
Lu Zhang
X. Yang
Zhiyong Liu
AI4TS
40
0
0
29 Nov 2025
Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal Tasks
Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal Tasks
Xiangkai Ma
Han Zhang
Wenzhong Li
Sanglu Lu
AI4TSVGen
251
0
0
25 Nov 2025
Labels Matter More Than Models: Quantifying the Benefit of Supervised Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Kaixiang Yang
Chao Chen
81
0
0
20 Nov 2025
The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models
The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models
Xin Qiu
Junlong Tong
Yirong Sun
Yunpu Ma
Xiaoyu Shen
AI4TS
221
0
0
10 Nov 2025
A Theoretical Analysis of Detecting Large Model-Generated Time Series
A Theoretical Analysis of Detecting Large Model-Generated Time Series
Junji Hou
Junzhou Zhao
Shuo Zhang
Pinghui Wang
AI4TS
301
0
0
10 Nov 2025
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
Daojun Liang
Jing Chen
Xiao Wang
Y Samuel Wang
Suo Li
AI4TS
89
0
0
10 Nov 2025
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Jiexi Liu
Meng Cao
Songcan Chen
AI4TS
185
0
0
10 Nov 2025
Predicting the Future by Retrieving the Past
Predicting the Future by Retrieving the Past
Dazhao Du
Tao Han
Song Guo
AI4TS
152
0
0
08 Nov 2025
Multi-period Learning for Financial Time Series Forecasting
Multi-period Learning for Financial Time Series ForecastingKnowledge Discovery and Data Mining (KDD), 2025
Xu Zhang
Z. Huang
Y. Wu
Xun Lu
Erpeng Qi
Yunkai Chen
Zhongya Xue
Qitong Wang
Peng Wang
Wei Wang
AI4TS
52
2
0
07 Nov 2025
Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift
Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift
Tianze Wang
Sofiane Ennadir
John Pertoft
Gabriela Zarzar Gandler
Lele Cao
Zineb Senane
Styliani Katsarou
Sahar Asadi
Axel Karlsson
Oleg Smirnov
AI4TS
153
0
0
06 Nov 2025
How AI Forecasts AI Jobs: Benchmarking LLM Predictions of Labor Market Changes
How AI Forecasts AI Jobs: Benchmarking LLM Predictions of Labor Market Changes
Sheri Osborn
Rohit Valecha
H. Raghav Rao
Dan Sass
Anthony Rios
104
0
0
27 Oct 2025
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
Xiangfei Qiu
X. Wu
Hanyin Cheng
Xvyuan Liu
Chenjuan Guo
Jilin Hu
B. Yang
AI4TS
168
8
0
27 Oct 2025
EMTSF:Extraordinary Mixture of SOTA Models for Time Series Forecasting
EMTSF:Extraordinary Mixture of SOTA Models for Time Series Forecasting
Musleh Alharthi
Kaleel Mahmood
Sarosh Patel
A. Mahmood
AI4TSMoE
302
0
0
27 Oct 2025
Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
Thaweerath Phisannupawong
J. J. Damanik
Han-Lim Choi
159
0
0
24 Oct 2025
Fusing Narrative Semantics for Financial Volatility Forecasting
Fusing Narrative Semantics for Financial Volatility Forecasting
Yaxuan Kong
Yoontae Hwang
Marcus Kaiser
Chris Vryonides
Roel Oomen
Stefan Zohren
AI4TS
73
0
0
23 Oct 2025
SEMPO: Lightweight Foundation Models for Time Series Forecasting
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He
Kun Yi
Yuanchi Ma
Qi Zhang
ZhenDong Niu
Guansong Pang
AI4TS
138
0
0
22 Oct 2025
Foundation Model Forecasts: Form and Function
Foundation Model Forecasts: Form and Function
Alvaro Perez-Diaz
James C. Loach
Danielle E. Toutoungi
Lee Middleton
AI4TS
116
0
0
22 Oct 2025
MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
Shule Hao
Junpeng Bao
Wenli Li
AI4TS
91
0
0
18 Oct 2025
Time Series Foundation Models: Benchmarking Challenges and Requirements
Time Series Foundation Models: Benchmarking Challenges and Requirements
Marcel Meyer
Sascha Kaltenpoth
Kevin Zalipski
Oliver Müller
AI4TS
168
2
0
15 Oct 2025
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
Beibu Li
Qichao Shentu
Yang Shu
Hui Zhang
Ming Li
Ning Jin
Bin Yang
Chenjuan Guo
AI4TS
157
1
0
14 Oct 2025
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
Liangwei Nathan Zheng
Wenhao Liang
Wei Emma Zhang
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
108
0
0
14 Oct 2025
Toward Reasoning-Centric Time-Series Analysis
Toward Reasoning-Centric Time-Series Analysis
Xinlei Wang
Mingtian Tan
Jing Qiu
Junhua Zhao
Jinjin Gu
AI4TS
116
0
0
14 Oct 2025
Vision-LLMs for Spatiotemporal Traffic Forecasting
Vision-LLMs for Spatiotemporal Traffic Forecasting
Ning Yang
Hengyu Zhong
Haijun Zhang
Randall Berry
AI4TS
100
1
0
13 Oct 2025
SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
ChengAo Shen
Ziming Zhao
Hanghang Tong
D. Song
Dongsheng Luo
Qingsong Wen
Jingchao Ni
AI4TS
127
0
0
10 Oct 2025
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
Qinghua Liu
Sam Heshmati
Zheda Mai
Zubin Abraham
John Paparrizos
Liu Ren
AI4TS
131
1
0
08 Oct 2025
Training-Free Time Series Classification via In-Context Reasoning with LLM Agents
Training-Free Time Series Classification via In-Context Reasoning with LLM Agents
Songyuan Sui
Zihang Xu
Yu-Neng Chuang
Kwei-Herng Lai
Xia Hu
AI4TSLLMAGLRM
140
1
0
07 Oct 2025
Glocal Information Bottleneck for Time Series Imputation
Glocal Information Bottleneck for Time Series Imputation
Jie Yang
Kexin Zhang
Guibin Zhang
Philip S. Yu
Kaize Ding
AI4TS
145
0
0
06 Oct 2025
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
Yucheng Wang
Mohamed Ragab
Yubo Hou
Zhenghua Chen
Min-Ying Wu
Xiaoli Li
AI4CE
144
0
0
04 Oct 2025
SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data
SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data
Hanzhe Wei
Jiajun Wu
J. Yang
Henry Leung
Steve H. Drew
AI4TS
128
1
0
04 Oct 2025
THEMIS: Unlocking Pretrained Knowledge with Foundation Model Embeddings for Anomaly Detection in Time Series
THEMIS: Unlocking Pretrained Knowledge with Foundation Model Embeddings for Anomaly Detection in Time Series
Yadav Mahesh Lorik
Kaushik Sarveswaran
Nagaraj Sundaramahalingam
Aravindakumar Venugopalan
AI4TS
90
0
0
04 Oct 2025
KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
Kuiye Ding
Fanda Fan
Zheya Wang
Hongxiao Li
Yifan Wang
Lei Wang
Chunjie Luo
Jianfeng Zhan
AI4TS
201
0
0
02 Oct 2025
Augmenting LLMs for General Time Series Understanding and Prediction
Augmenting LLMs for General Time Series Understanding and Prediction
Felix Parker
Nimeesha Chan
Chi Zhang
Kimia Ghobadi
AI4TS
128
1
0
01 Oct 2025
Fidel-TS: A High-Fidelity Benchmark for Multimodal Time Series Forecasting
Fidel-TS: A High-Fidelity Benchmark for Multimodal Time Series Forecasting
Zhijian Xu
Wanxu Cai
Xilin Dai
Zhaorong Deng
Qiang Xu
AI4TS
212
1
0
29 Sep 2025
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He
Haozheng Luo
Yan Chen
Qi Wang
AI4TS
183
1
0
27 Sep 2025
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
Xin Gao
Ruiyi Zhang
Daniel Du
Saurabh Mahindre
Sai Ashish Somayajula
Pengtao Xie
KELMMU
136
0
0
26 Sep 2025
Mind the Missing: Variable-Aware Representation Learning for Irregular EHR Time Series using Large Language Models
Mind the Missing: Variable-Aware Representation Learning for Irregular EHR Time Series using Large Language Models
Jeong Eul Kwon
Joo Heung Yoon
Hyo Kyung Lee
102
1
0
26 Sep 2025
CaTS-Bench: Can Language Models Describe Time Series?
CaTS-Bench: Can Language Models Describe Time Series?
Luca Zhou
Pratham Yashwante
Marshall Fisher
Alessio Sampieri
Zihao Zhou
Fabio Galasso
Rose Yu
AI4TS
125
0
0
25 Sep 2025
VIFO: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
VIFO: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
Yanlong Wang
Hang Yu
Jian Xu
Fei Ma
Hongkang Zhang
Tongtong Feng
Zijian Zhang
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
97
0
0
25 Sep 2025
One Filters All: A Generalist Filter for State Estimation
One Filters All: A Generalist Filter for State Estimation
Shiqi Liu
Wenhan Cao
Chang Liu
Zeyu He
Tianyi Zhang
Jingliang Duan
OffRL
156
1
0
24 Sep 2025
An Improved Time Series Anomaly Detection by Applying Structural Similarity
An Improved Time Series Anomaly Detection by Applying Structural Similarity
Tiejun Wang
Rui Wang
Xudong Mou
Mengyuan Ma
Tianyu Wo
Renyu Yang
Xudong Liu
AI4TS
120
0
0
24 Sep 2025
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
Kuiye Ding
Fanda Fan
Chunyi Hou
Zheya Wang
Lei Wang
Zhengxin Yang
Jianfeng Zhan
AI4TS
216
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0
23 Sep 2025
SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing
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Junlong Ke
Qiying Hu
Shenghai Yuan
Yuecong Xu
Jianfei Yang
LLMAG
188
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21 Sep 2025
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
Shuang Liang
Chaochuan Hou
Xu Yao
Shiping Wang
Minqi Jiang
Songqiao Han
Hailiang Huang
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193
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Tsururu: A Python-based Time Series Forecasting Strategies Library
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Kseniia Kuvshinova
Aleksandr Yugay
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Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
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Liran Nochumsohn
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Omri Azencot
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ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
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Leveraging Intermediate Representations of Time Series Foundation Models for Anomaly Detection
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Keon Myung Lee
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