Position: What Can Large Language Models Tell Us about Time Series
Analysis

Position: What Can Large Language Models Tell Us about Time Series Analysis

5 February 2024

Ming Jin

Kexin Zhang

Papers citing "Position: What Can Large Language Models Tell Us about Time Series Analysis"

16 / 16 papers shown

Title
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 32 0 0 02 May 2025
Can LLMs Understand Time Series Anomalies? Zihao Zhou Rose Yu AI4TS 67 8 0 13 Mar 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Yuxuan Liang AI4TS 58 1 0 16 Feb 2025
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations M. Germán-Morales A. J. Rivera-Rivas M. J. del Jesus Díaz C. J. Carmona AI4TS AI4CE 44 0 0 15 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 32 24 0 24 Sep 2024
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 AI4TS AI4CE 81 108 0 21 Mar 2024
Large Language Models for Time Series: A Survey Xiyuan Zhang Ranak Roy Chowdhury Rajesh K. Gupta Jingbo Shang AI4TS 74 53 0 02 Feb 2024
Exploring Large Language Models for Human Mobility Prediction under Public Events Yuebing Liang Yichao Liu Xiaohan Wang Zhan Zhao 112 29 0 29 Nov 2023
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting Xinli Yu Zheng Chen Yuan Ling Shujing Dong Zongying Liu Yanbin Lu AIFin AI4TS 107 67 0 19 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 197 2,232 0 22 Mar 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA Zhengyuan Yang Zhe Gan Jianfeng Wang Xiaowei Hu Yumao Lu Zicheng Liu Lijuan Wang 161 401 0 10 Sep 2021
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