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TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for
  Time Series
v1v2 (latest)

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

International Conference on Learning Representations (ICLR), 2023
16 August 2023
Chenxi Sun
Hongyan Li
Yaliang Li
linda Qiao
    AI4TS
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

Papers citing "TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series"

50 / 107 papers shown
VITRO: Vocabulary Inversion for Time-series Representation Optimization
VITRO: Vocabulary Inversion for Time-series Representation Optimization
Filippos Bellos
Nam H. Nguyen
Jason J. Corso
AI4TS
145
2
0
23 Dec 2024
Financial Fine-tuning a Large Time Series Model
Financial Fine-tuning a Large Time Series ModelIEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2024
Xinghong Fu
Masanori Hirano
Kentaro Imajo
AI4TSAIFin
346
6
0
13 Dec 2024
Domain Fusion Controllable Generalization for Cross-Domain Time Series Forecasting from Multi-Domain Integrated Distribution
Domain Fusion Controllable Generalization for Cross-Domain Time Series Forecasting from Multi-Domain Integrated Distribution
Xiangkai Ma
Xiaobin Hong
Mingkai Lin
Han Zhang
Wenzhong Li
Sanglu Lu
289
0
0
04 Dec 2024
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in
  Time Series
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
278
0
0
01 Dec 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines
Specialized Foundation Models Struggle to Beat Supervised BaselinesInternational Conference on Learning Representations (ICLR), 2024
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
346
24
0
05 Nov 2024
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
AAD-LLM: Adaptive Anomaly Detection Using Large Language ModelsBigData Congress [Services Society] (BSS), 2024
Alicia Russell-Gilbert
Alexander Sommers
Andrew Thompson
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
Joshua Church
312
17
0
01 Nov 2024
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
Jingge Xiao
Yile Chen
Gao Cong
Wolfgang Nejdl
Simon Gottschalk
AI4TS
321
0
0
30 Oct 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from
  Human Mobility Data with Large Language Models
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Letian Gong
Yan Lin
Xinyue Zhang
Yiwen Lu
Xuedi Han
Yichen Liu
Shengnan Guo
Youfang Lin
Huaiyu Wan
274
24
0
29 Oct 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao
Tingyue Pan
Mingyue Cheng
Yucong Luo
Qi Liu
Enhong Chen
AI4TS
439
6
0
24 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus
Felix Divo
Devendra Singh Dhami
Kristian Kersting
AI4TS
247
16
0
22 Oct 2024
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Minhua Lin
Zhe Chen
Yanchi Liu
Xujiang Zhao
Zongyu Wu
Junxiang Wang
Xiang Zhang
Suhang Wang
Haifeng Chen
AI4TS
412
22
0
22 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
245
4
0
21 Oct 2024
UniMTS: Unified Pre-training for Motion Time Series
UniMTS: Unified Pre-training for Motion Time SeriesNeural Information Processing Systems (NeurIPS), 2024
Xiyuan Zhang
Diyan Teng
Ranak Roy Chowdhury
Shuheng Li
Dezhi Hong
Rajesh K. Gupta
Jingbo Shang
AI4TS
225
19
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
535
21
0
14 Oct 2024
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Nan Huang
Haishuai Wang
Zihuai He
Marinka Zitnik
Xiang Zhang
AI4TSOOD
261
6
0
03 Oct 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A
  Global-Local Fusion Perspective
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Chengsen Wang
Qi Qi
Jingyu Wang
Haifeng Sun
Zirui Zhuang
Jinming Wu
Jianxin Liao
AI4TS
172
24
0
27 Sep 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Man Lan
Xiaoling Wang
SyDaAI4TS
385
7
0
26 Sep 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with
  LLM Token Embeddings
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsNeural Information Processing Systems (NeurIPS), 2024
Duo Wang
Yuan Zuo
Fengzhi Li
Junjie Wu
184
50
0
25 Aug 2024
Geolocation Representation from Large Language Models are Generic
  Enhancers for Spatio-Temporal Learning
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Junlin He
Tong Nie
Wei Ma
AI4TS
196
14
0
22 Aug 2024
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
Weijia Zhang
Chenlong Yin
Hao Liu
Hui Xiong
AI4TS
347
3
0
12 Aug 2024
PowerPM: Foundation Model for Power Systems
PowerPM: Foundation Model for Power SystemsNeural Information Processing Systems (NeurIPS), 2024
Shihao Tu
Yupeng Zhang
Jing Zhang
Yang Yang
AI4TS
187
14
0
07 Aug 2024
Large Language Models for Cuffless Blood Pressure Measurement From
  Wearable Biosignals
Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals
Zengding Liu
Chen Chen
Jiannong Cao
Minglei Pan
Jikui Liu
Nan Li
F. Miao
Ye Li
245
10
0
26 Jun 2024
Are Language Models Actually Useful for Time Series Forecasting?
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan
Mike A. Merrill
Vinayak Gupta
Tim Althoff
Thomas Hartvigsen
AI4TS
248
165
0
22 Jun 2024
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
Yu-Neng Chuang
Songchen Li
Jiayi Yuan
Guanchu Wang
Kwei-Herng Lai
...
Sirui Ding
Qiaoyu Tan
Daochen Zha
Daochen Zha
Xia Hu
AI4TS
195
1
0
20 Jun 2024
LLM-based Knowledge Pruning for Time Series Data Analytics on
  Edge-computing Devices
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices
Ruibing Jin
Qing Xu
Ruibing Jin
Yuecong Xu
Dan Li
Xiaoli Li
Zhenghua Chen
142
5
0
13 Jun 2024
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
Jinguo Cheng
Chunwei Yang
Wanlin Cai
Yuxuan Liang
Yuankai Wu
AI4TS
309
4
0
24 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series
  Models
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
AI4TS
223
4
0
17 May 2024
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
Ziwei Zhao
Fake Lin
Xi Zhu
Zhi Zheng
Tong Xu
Shitian Shen
Xueying Li
Zikai Yin
Enhong Chen
159
15
0
13 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion
  Process and Imputation-Interpolation-Forecasting Mask
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting MaskKnowledge Discovery and Data Mining (KDD), 2024
Zineb Senane
Lele Cao
V. Buchner
Yusuke Tashiro
Lei You
P. Herman
Mats Nordahl
Ruibo Tu
Vilhelm von Ehrenheim
DiffMAI4TS
266
25
0
09 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
241
18
0
05 May 2024
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
Weiqi Zhang
Yongzi Yu
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
AI4TSAI4CE
447
34
0
03 May 2024
Review of Data-centric Time Series Analysis from Sample, Feature, and
  Period
Review of Data-centric Time Series Analysis from Sample, Feature, and Period
Chenxi Sun
Hongyan Li
Yaliang Li
linda Qiao
AI4TS
234
2
0
24 Apr 2024
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series
  classification
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification
Zhicheng Du
Zhaotian Xie
Yan Tong
Peiwu Qin
AI4TS
72
2
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23 Mar 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang
Haomin Wen
Yuqi Nie
Yushan Jiang
Ming Jin
Dongjin Song
Shirui Pan
Qingsong Wen
AI4TSAI4CE
330
293
0
21 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningAAAI Conference on Artificial Intelligence (AAAI), 2024
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
490
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0
12 Mar 2024
$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM
  for Time Series Forecasting
S2\textbf{S}^2S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingInternational Conference on Machine Learning (ICML), 2024
Zijie Pan
Yushan Jiang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TS
346
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09 Mar 2024
Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning
Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning
Yucheng Wang
Ruibing Jin
Ruibing Jin
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
218
5
0
06 Mar 2024
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language
  Models
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Yilong Ren
Yue Chen
Shuai Liu
Boyue Wang
Haiyang Yu
Zhiyong Cui
AI4TS
322
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UNITS: A Unified Multi-Task Time Series Model
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Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
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483
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Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
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Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
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Multi-Patch Prediction: Adapting LLMs for Time Series Representation
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Empowering Time Series Analysis with Large Language Models: A Survey
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AutoTimes: Autoregressive Time Series Forecasters via Large Language
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Guo Qin
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Large Language Models for Time Series: A Survey
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Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
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560
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Large Language Model Guided Knowledge Distillation for Time Series
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207
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Universal Time-Series Representation Learning: A Survey
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POND: Multi-Source Time Series Domain Adaptation with Information-Aware
  Prompt Tuning
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Guangji Bai
Wei Cheng
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AI4TS
373
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