AutoTimes: Autoregressive Time Series Forecasters via Large Language
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AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

4 February 2024

Yong Liu

Xiangdong Huang

Papers citing "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

19 / 19 papers shown

Title
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 29 1 0 04 May 2025
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
Multimodal Conditioned Diffusive Time Series Forecasting Chen Su Yuanhe Tian Yan Song DiffM AI4TS 57 0 0 28 Apr 2025
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 23 0 0 05 Apr 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 40 0 0 31 Mar 2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs Haoran Fan Bin Li Yixuan Weng Shoujun Zhou AI4TS 55 0 0 05 Mar 2025
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
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation Wenxuan Wang K. Wu Yujian Betterest Li Dan Wang X. Zhang J. Liu AI4TS 63 0 0 24 Feb 2025
Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Jin Cui Alexander Capstick Payam Barnaghi Gregory Scott 44 0 0 14 Feb 2025
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models Sathya Kamesh Bhethanabhotla Omar Swelam Julien N. Siems David Salinas Frank Hutter Mamba AI4TS AI4CE 33 3 0 12 Oct 2024
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series Weijia Zhang Chenlong Yin Hao Liu Hui Xiong AI4TS 37 3 0 12 Aug 2024
DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS Qingyang Li Yihang Zhang Zhidong Jia Yannan Hu Lei Zhang Jianrong Zhang Yongming Xu Yong Cui Zongming Guo Xinggong Zhang AI4CE 29 6 0 13 May 2024
Enhancing Traffic Prediction with Textual Data Using Large Language Models Xiannan Huang 29 2 0 10 May 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 107 152 0 04 Feb 2024
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
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 115 165 0 18 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 382 4,010 0 28 Jan 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 161 3,799 0 14 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020