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Time series data are foundational in finance, healthcare, and energy domains.
The impact of the mit-bih arrhythmia database
George B Moody and Roger G Mark. 2001 · 2001
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Time series data augmentation for deep learning: A survey
Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, and Huan Xu. 2020 · 2002
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Potentials of enhanced context awareness in wearable assistants for parkinson’s disease patients with the freezing of gait syndrome
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Introduction to statistical time series
Wayne A Fuller. 2009 · 2009
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Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, and Akiko Aizawa. 2020 · 2011
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Activity recognition using cell phone accelerometers
Jennifer R Kwapisz, Gary M Weiss, and Samuel A Moore. 2011 · 2011
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Unsupervised real-time anomaly detection for streaming data
Subutai Ahmad, Alexander Lavin, Scott Purdy, and Zuha Agha. 2017 · 2017
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Yanping, bing hu, nurjahan begum, anthony bagnall, abdullah mueen, gustavo batista, and hexagon-ml. the ucr time series classification archive, october 2018
Hoang Anh Dau, Eamonn Keogh, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, and Chotirat Ann Ratanamahatana. 2018 · 2018
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Kpi anomaly detection
International AIOPS Challenges. 2018 · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
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Sensorscope data
Guillermo Barrenetxea. 2019 · 2019
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Time series analysis
James D Hamilton. 2020 · 2020
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Markusthill/mgab: the mackey-glass anomaly benchmark
Markus Thill, Wolfgang Konen, and Thomas Bäck. 2020 · 2020
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Time-series forecasting with deep learning: a survey
Bryan Lim and Stefan Zohren. 2021 · 2021
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S5-a labeled anomaly detection dataset, version 1.0
Yahoo Inc. 2021 · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang. 2021 · 2021
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Adbench: Anomaly detection benchmark
Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, and Yue Zhao. 2022 · 2022
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Musique: Multihop questions via single-hop question composition
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal. 2022 · 2022
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Transformers in time series: A survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, and Liang Sun. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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A novel missing data imputation approach based on clinical conditional generative adversarial networks applied to ehr datasets
Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, and Massih-Reza Amini. 2023 · 2023
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Tele-knowledge pre-training for fault analysis
Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, et al. 2023 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Openorca: An open dataset of gpt augmented flan reasoning traces
Wing Lian, Bleys Goodson, Eugene Pentland, Austin Cook, Chanvichet Vong, and "Teknium". 2023 · 2023
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Summary of chatgpt-related research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, et al. 2023 · 2023
Yizhen Guo, Tian Zhou, Wanyi Jiang, Bo Wu, Liang Sun, and Rong Jin. 2024 · 2024
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LSTPrompt: Large language models as zero-shot time series forecasters by long-short-term prompting
Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, and B. Aditya Prakash. 2024c · 2024
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Fusionsf: Fuse heterogeneous modalities in a vector quantized framework for robust solar power forecasting
Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, and Rong Jin. 2024 · 2024
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Language models still struggle to zero-shot reason about time series
Mike A Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, and Tim Althoff. 2024 · 2024
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A survey of deep learning and foundation models for time series forecasting
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Cited alongside, same era.
Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, Harlan M Krumholz, Jure Leskovec, Eric J Topol, and Pranav Rajpurkar. 2023 · 2023
Cited alongside, same era.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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Density-aware temporal attentive step-wise diffusion model for medical time series imputation
Jingwen Xu, Fei Lyu, and Pong C Yuen. 2023 · 2023
Cited alongside, same era.
Sgdp: A stream-graph neural network based data prefetcher
Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, and Mingxuan Yuan. 2023a · 2023
Cited alongside, same era.
Llm lies: Hallucinations are not bugs, but features as adversarial examples
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, and Li Yuan. 2023 · 2023
Cited alongside, same era.
Insight miner: A large-scale multimodal model for insight mining from time series
Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, and Jie Yang. 2023 · 2023
Cited alongside, same era.
Chronos: Learning the language of time series
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, et al. 2024 · 2024
Cited alongside, same era.
John A Miller, Mohammed Aldosari, Farah Saeed, Nasid Habib Barna, Subas Rana, I Budak Arpinar, and Ninghao Liu. 2024 · 2024
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Deep learning for time series classification and extrinsic regression: A current survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I Webb, Germain Forestier, and Mahsa Salehi. 2024 · 2024
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Are time series foundation models ready to revolutionize predictive building analytics?
Ozan Baris Mulayim, Pengrui Quan, Liying Han, Xiaomin Ouyang, Dezhi Hong, Mario Bergés, and Mani Srivastava. 2024 · 2024
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A survey of large language models for financial applications: Progress, prospects and challenges
Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M Mulvey, H Vincent Poor, Qingsong Wen, and Stefan Zohren. 2024 · 2024
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Finqapt: Empowering financial decisions with end-to-end llm-driven question answering pipeline
Kuldeep Singh, Simerjot Kaur, and Charese Smiley. 2024 · 2024
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Earnings call transcripts
The Motley Fool. 2024 · 2024
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Context is key: A benchmark for forecasting with essential textual information
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, et al. 2024 · 2024
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Chatts: Aligning time series with llms via synthetic data for enhanced understanding and reasoning
Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, and Dan Pei. 2024 · 2024
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Beyond trend and periodicity: Guiding time series forecasting with textual cues
Zhijian Xu, Yuxuan Bian, Jianyuan Zhong, Xiangyu Wen, and Qiang Xu. 2024 · 2024
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An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, et al. 2024 · 2024
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Deep learning for time series anomaly detection: A survey
Zahra Zamanzadeh Darban, Geoffrey I Webb, Shirui Pan, Charu Aggarwal, and Mahsa Salehi. 2024 · 2024
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Toolqa: A dataset for llm question answering with external tools
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, and Chao Zhang. 2024 · 2024
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Accurate predictions on small data with a tabular foundation model
Noah Hollmann, Samuel Müller, Lennart Purucker, Arjun Krishnakumar, Max Körfer, Shi Bin Hoo, Robin Tibor Schirrmeister, and Frank Hutter. 2025 · 2025
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Position: Empowering time series reasoning with multimodal llms
Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, and Qingsong Wen. 2025 · 2025
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Agentic retrieval-augmented generation: A survey on agentic rag
Aditi Singh, Abul Ehtesham, Saket Kumar, and Tala Talaei Khoei. 2025 · 2025
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Deep learning for multivariate time series imputation: A survey
Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, and Qingsong Wen. 2025 · 2025
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