LLM-Based Time Series Forecasting

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11 papers in the last four weeks, up 83% on the four weeks before. 0.1% of all new papers.

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  1. Can LLM-assisted regularization increase forecast accuracy for migration flows in low data regimes?

    Oct 5, 2026Nathaniel T. Hindman, Fabricio MuraiTime Series ForecastingLLM-Based Time Series Forecasting

    Artificial Intelligence Worcester Polytechnic Institute Worcester, Massachusetts · Data Science Worcester Polytechnic Institute Worcester, Massachusetts

  2. FreSia: Frequency-Semantic Instantiation and Alignment for Multivariate Time Series Analysis

    Oct 5, 2026Yubo Wang, Hui He, Hezhe Qiao +2Multivariate Time Series ForecastingTime Series Forecasting

    School of Computer Science and Technology, Beijing Institute of Technology, No.5 Zhongguancun South Street, Beijing, 100081, China · School of Computing and Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

  3. OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning

    Sep 30, 2026Tony Chen, Timo Stoffregen, Maxwell Xu +8Temporal Reasoning in Language ModelsTime Series Forecasting

    Columbia University, USA · Stanford University, USA · Aionic Labs, Switzerland +4

  4. JudgeCast: Time Series Forecasting with Experience-Informed Covariate Judgements

    Sep 29, 2026Donguk Kwon, Wooseok Jeong, Dongha LeeTime Series ForecastingLLM-Based Time Series Forecasting

    Yonsei University · Konkuk University

  5. Can Language Models Learn to Forecast Stock Prices

    Sep 29, 2026Jiacheng Guo, Suozhi Huang, Shuzhen Li +11Financial ForecastingLLM-Based Time Series Forecasting

    Princeton University · InclusionAI · Harvard University +1

  6. RICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting

    Sep 27, 2026Tong Liu, Lanmiao Liu, Xiang HuFinancial ForecastingTime Series Forecasting

    Zircon Security · Utrecht University · The Max Planck Institute for Psycholinguistics +1

  7. TimeBraid: Unifying Time Series and Language for Understanding and Forecasting

    Sep 24, 2026Xinyue Wang, Jiacheng Pang, Kun Zhou +7Unified Multimodal ModelsMultimodal Pretraining

    University of California San Diego · Aether AI · University of Southern California

  8. Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting

    Sep 14, 2026Tamanna Kumavat, Georg Brunner, Kyriakos FlourisTime Series ForecastingLLM-Based Time Series Forecasting

    University of Zurich, Switzerland · Computer Vision Laboratory, ETH Zurich, Switzerland · MRC Biostatistics Unit, University of Cambridge, United Kingdom

  9. STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting

    Sep 14, 2026Jiawen Chen, Qi Shao, Yongjian Chang +3Traffic Flow EstimationLLM-Based Time Series Forecasting

    School of Mathematics, Southeast University, Nanjing 210096, China · School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China · Jiangsu Province Center for Applied Mathematical Sciences, Nanjing 210096, China

  10. Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting

    Sep 12, 2026Jihoon Kwon, Lawrence Liu, Daekyung Park +15Financial ForecastingTime Series Forecasting

    LinqAlpha · Carbon Arc · Kalshi +7

  11. Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

    Sep 11, 2026Ken Chen, Maneesha Perera, Wei Wang +3Multivariate Time Series ForecastingMultimodal Large Language Models

    Department of Mechanical Engineering, The University of Melbourne, Melbourne, Australia · Department of Mechanical Engineering, Sri Lanka Institute of Information Technology, Sri Lanka

  12. A Dynamic Fusion Large Language Model for Traffic Flow Prediction

    Sep 11, 2026Xue Qiu, Jianli XiaoIntelligent Transportation SystemsTraffic Flow Estimation

    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China

  13. It's All in the Way You Say It: The Role of Information Representation in LLM-Based Glycemic-Event Prediction

    Sep 8, 2026Andrea Apicella, Pasquale Arpaia, Matteo Orefice +2LLM PromptingBlood Glucose Forecasting

    Department of Information Engineering, Electrical Engineering, and Applied Mathematics (DIEM), University of Salerno, Fisciano (SA), Italy · Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

  14. Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

    Sep 2, 2026Seungyoon Choi, Hyunchul Kim, Jae-Gil Lee +1Time Series ForecastingLLM-Based Time Series Forecasting

    KAIST Daejeon, Republic of Korea

  15. Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators

    Aug 31, 2026Xinyue Zhao, Ruiyi Zhang, Liqin Ye +3Time Series ForecastingLLM Agent Evaluation

    Georgia Institute of Technology · University of California San Diego

  16. LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting

    Aug 30, 2026Di Zhang, Jingyang Zhang, Ziqian Wang +4Irregular Time-Series ModelingZero-Shot Time Series Forecasting

    Beihang University Beijing, China

  17. FM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecasting

    Aug 12, 2026Rentao Gu, Yihang Ding, Junjie Li +5Zero-Shot Time Series ForecastingTime Series Forecasting

    Beijing University of Posts and Telecommunications, Beijing, 100876, China · China Telecom Research Institute, Beijing, 100032, China

  18. REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting

    Aug 10, 2026Xu Zhang, Chang Xu, Hui Sun +5RL for Language ModelsExplainable Time Series Forecasting

    Fudan University Shanghai, China · Microsoft Research Beijing, China · Jilin University Jilin, China

  19. Financial Numerical Prediction and Allocation as Token Generation

    Aug 10, 2026Xu Ouyang, Moontae LeeQuantitative FinanceFinancial Forecasting

    University of Illinois Chicago

  20. Efficient Test-Time Scaling for LLM-based Time Series Forecasting

    Aug 9, 2026Xuan-May Le, Minh-Tuan Tran, Ling Luo +3Long-Term Time Series ForecastingTime Series Forecasting

    The University of Melbourne Melbourne, Victoria, Australia · Monash University Melbourne, Victoria, Australia

  21. CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting

    Aug 4, 2026Xiaoyu Tao, Mingyue Cheng, Bokai Pan +6Time Series ForecastingLLM-Based Time Series Forecasting

    State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, Anhui Province, China

  22. ReasonCast: Towards Explainable Time Series Forecasting with Reasoning

    Aug 3, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Explainable Time Series ForecastingTime Series Reasoning

    LG AI Research

  23. LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models

    Jul 27, 2026Huu Hiep Nguyen, Dung Nguyen, Minh Hoang Nguyen +2Time Series ForecastingLLM-Based Time Series Forecasting

    Applied Artificial Intelligence Initiative Deakin University Geelong, Australia

  24. FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting

    Jul 27, 2026Dorothy Torres, Wei Cheng, Henan HuangSelective PredictionFinancial Forecasting

    School of Science, Technology, Engineering and Mathematics 263 Academy Street, Room S204 Jersey City, NJ 07306 · School of Electrical Engineering and Computer Science The Pennsylvania State University 207 Electrical Engineering West University Park, PA 16802, USA

  25. LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting

    Jul 7, 2026Youcheng Zong, Runda Jia, Mingxuan Ren +1Time Series ForecastingLLM-Based Time Series Forecasting

    College of Information Science and Engineering, Northeastern University, Shenyang 110004, China

  26. Forecasting With LLMs: Improved Generalization Through Feature Steering

    Jun 25, 2026Humzah Merchant, Bradford LevyLanguage Model SteeringLLM Interpretability

    University of Chicago, Illinois, United States.

  27. Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting

    Jun 25, 2026Defu Cao, Zijie Lei, Muyan Weng +2Time Series ForecastingLLM-Based Time Series Forecasting

    University of Southern California · Meta · Google DeepMind

  28. MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios

    Jun 23, 2026Patara Trirat, Jin Myung Kwak, Jay Heo +2Quantitative FinanceFinancial Forecasting

    KAIST

  29. Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting

    Jun 22, 2026Falguni Ghosh, Vahid Hashemi, Bernhard KainzLong-Term Time Series ForecastingProbabilistic Forecasting

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91052, Germany · AUDI AG, Auto-Union-Straße 1, 85057 Ingolstadt, Germany · Imperial College London, London SW7 2RH, United Kingdom

  30. Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking

    Jun 21, 2026Mao Guan, Qian ChenLearning to RankFinancial Forecasting

    Independent Researcher.

  31. OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology

    Jun 20, 2026Pietro Belligoli, Nikita Makarov, Sayedali Shetab Boushehri +3Clinical Outcome PredictionLLM-Based Time Series Forecasting

    Computational Sciences Center of Excellence, Roche, Penzberg, Germany · Technical University of Munich, Munich, Germany · Computational Health Center, Helmholtz Munich, Munich, Germany +3

  32. Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting

    Jun 17, 2026Alireza Jafari, Judy Fox, Geoffrey C. Fox +2Epidemic ForecastingLLM-Based Time Series Forecasting

    Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA · School of Data Science, University of Virginia, Charlottesville, VA 22904 USA · Biocomplexity Institute and the Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA +1

  33. Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction

    Jun 13, 2026Yiquan Gao, Duohui XuZero-Shot Time Series ForecastingResidual Learning

    1Heriot-Watt University. · 2StudioYG. · This work was completed before the first author’s affiliation with Heriot-Watt University and was conducted entirely independently of the institution.

  34. InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs

    Jun 7, 2026Peiliang Gong, Emadeldeen Eldele, Chenyu Liu +8Zero-Shot Time Series ForecastingTime Series Forecasting

    College of Computing and Data Science, Nanyang Technological University, Singapore · Department of Computer Science, Khalifa University, UAE · Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China +1

  35. Causal Semantic Alignment for LLM-based Time Series Forecasting

    Jun 6, 2026Kexuan Zhang, Xiaobei Zou, Cesare Alippi +2Multivariate Time Series ForecastingLLM-Based Time Series Forecasting

  36. EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts

    Jun 3, 2026Yiming Lu, Sihang Zeng, Zhengxu Tang +3Epidemic ForecastingTime Series Forecasting

    Emory University · University of Washington

  37. From Long News to Accurate Forecast: Importance-Aware Fusion and PRM-Guided Reflection for Time Series Forecasting

    Jun 2, 2026Mingyang Liu, Qingcan Kang, Yuke Wang +6Process Reward ModelsFinancial Forecasting

    Department of Computer Science, City University of Hong Kong · Work done as an intern in Huawei Noah’s Ark Lab. · Huawei Noah’s Ark Lab

  38. Bridging the Last Mile of Time Series Forecasting with LLM Agents

    Jun 1, 2026Yuhua Liao, Zetian Wang, Qiangqiang Nie +1Time Series ForecastingLLM-Based Time Series Forecasting

    Trip.com Group, Shanghai, China

  39. KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning

    May 28, 2026Kun Feng, Ziwei Shan, Yuchen Fang +6Multivariate Time Series ForecastingZero-Shot Time Series Forecasting

    ShanghaiTech University · Ant Group

  40. LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support

    May 24, 2026Pavan Manjunath, Thomas PrueferTime Series ForecastingLLM-Based Time Series Forecasting

    Independent Researcher

  41. PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows

    May 22, 2026Minju Kim, Youngbum HurLong-Term Time Series ForecastingLLM-Based Time Series Forecasting

    Department of Industrial Engineering, Inha University, Incheon, Republic of Korea

  42. Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most

    May 21, 2026Nick Merrill, Jaeho Lee, Ezra KargerLanguage Model Scaling LawsForecasting Benchmarks

    Forecasting Research Institute · UC Berkeley

  43. LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series

    May 19, 2026Alexis Roger, Prateek Humane, Zhenghan Tai +4Cross-Modal LearningLanguage Model Pretraining

    Université de Montréal Mila - Quebec AI Institute

  44. Nexus : An Agentic Framework for Time Series Forecasting

    May 14, 2026Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar +6Time Series ReasoningTime Series Forecasting

    1Google · 2Pennsylvania State University

  45. Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts

    May 12, 2026Matthew Beddows, Aiden Durrant, Georgios LeontidisTime Series ForecastingLLM Agent Orchestration

    School of Natural and Computing Sciences University of Aberdeen, UK · School of Computing Sciences University of East Anglia, UK · Department of Physics and Technology UiT The Arctic University of Norway

  46. U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation

    May 12, 2026Yichen Zhang, Jun LiLong-Term Time Series ForecastingTime Series Imputation

    School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.

  47. TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning

    May 11, 2026Hangchen Liu, Dongyuan Li, Renhe Jiang +3Time Series ReasoningLLM-Based Time Series Forecasting

    The University of Tokyo · Southern University of Science and Technology

  48. LEAF: A Living Benchmark for Event-Augmented Forecasting

    May 9, 2026Mingtian Tan, Mihir Parmar, Palash Goyal +5Financial ForecastingTime Series Forecasting

    Google · University of Virginia

  49. Reasoning-Aware Training for Time Series Forecasting

    May 9, 2026Md Atik Ahamed, Mihir Parmar, Palash Goyal +4Time Series ReasoningTime Series Forecasting

    1Google · University of Kentucky

  50. OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking

    May 5, 2026Yiding Ma, Chengyun Ruan, Kaibo Huang +2LLM EvaluationForecasting Benchmarks

    Beijing University of Posts and Telecommunications

  51. CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting

    Apr 30, 2026Bokai Pan, Mingyue Cheng, Zhiding Liu +6Time Series ForecastingLLM-Based Time Series Forecasting

    State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei 230026, China

  52. Hindsight Preference Optimization for Financial Time Series Advisory

    Apr 27, 2026Yanwei Cui, Guanghui Wang, Xing Zhang +7LLM AlignmentFinancial Forecasting

    1AWS Generative AI Innovation Center · 2HSBC Holdings Plc. HSBC Technology Center China

  53. Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs

    Apr 27, 2026Rhea Makkuni, Ananya JoshiHealthcareTime Series Forecasting

    Johns Hopkins University Baltimore, USA

  54. Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics

    Apr 22, 2026Weizhi Nie, Zhen Qu, Weijie Wang +4Interpretable MLLLM-Based Time Series Forecasting

    School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, Tianjin, China · Department of Information Engineering and Computer Science, University of Trento, Trento, Trentino, Italy · Department of Orthopedics, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China +3

  55. Agentic Forecasting with Structured Linguistic Beliefs

    Apr 20, 2026Kevin MurphyForecasting BenchmarksProbabilistic Forecasting

    Department of Computer Science University of British Columbia Vancouver, BC, Canada

  56. CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting

    Apr 20, 2026Etienne Tajeuna, Patrick Asante Owusu, Armelle Brun +1Explainable Time Series ForecastingTime Series Forecasting

  57. FedLLM: A Privacy-Preserving Federated Large Language Model for Explainable Traffic Flow Prediction

    Apr 17, 2026Seerat Kaur, Sukhjit Singh Sehra, Dariush EbrahimiPrivacy-Preserving Language ModelsTraffic Flow Estimation

    Department of Physics & Computer Science, Wilfrid Laurier University, Waterloo, Canada

  58. MemGuard-Alpha: Limits of Membership Inference for Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial Forecasting

    Mar 26, 2026Anisha Roy, Dip RoyMembership Inference AttacksLLM Auditing

    Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, India · Department of Computer Science and Engineering, Indian Institute of Technology Patna, India

  59. Deep Learning Network-Temporal Models For Traffic Prediction

    Mar 12, 2026Yufeng Xin, Ethan FanMultivariate Time Series ForecastingLLM-Based Time Series Forecasting

    RENCI, University of North Carolina at Chapel Hill Chapel Hill, NC, USA

  60. GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting

    Jan 8, 2026Shovito Barua Soumma, Hassan GhasemzadehTime Series ForecastingBlood Glucose Forecasting

    College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA