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. 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

  2. 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

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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

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

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

    Google · University of Virginia

  19. 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

  20. 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

  21. 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

  22. 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

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

    Apr 27, 2026Rhea Makkuni, Ananya JoshiHealthcareTime Series Forecasting

    Johns Hopkins University Baltimore, USA

  24. 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

  25. Agentic Forecasting with Structured Linguistic Beliefs

    Apr 20, 2026Kevin MurphyForecasting BenchmarksProbabilistic Forecasting

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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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