mlsanityData to 7 Oct 2026

From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

arXiv 2409.17515 ↗First posted 26 Sep 2024cs.AIcited by 93

On the map: LLM agents and tool use → Financial trading and forecasting agents

Abstract (arXiv)

This paper introduces a novel approach that leverages Large Language Models (LLMs) and Generative Agents to enhance time series forecasting by reasoning across both text and time series data. With language as a medium, our method adaptively integrates social events into forecasting models, aligning news content with time series fluctuations to provide richer insights. Specifically, we utilize LLM-based agents to iteratively filter out irrelevant news and employ human-like reasoning to evaluate predictions. This enables the model to analyze complex events, such as unexpected incidents and shifts in social behavior, and continuously refine the selection logic of news and the robustness of the agent's output. By integrating selected news events with time series data, we fine-tune a pre-trained LLM to predict sequences of digits in time series. The results demonstrate significant improvements in forecasting accuracy, suggesting a potential paradigm shift in time series forecasting through the effective utilization of unstructured news data.

Key facts. Cited by 93 papers in the map (data through 7 Oct 2026). Placed in Financial trading and forecasting agents, one of 16 directions in LLM agents and tool use. Builds on 35 of its 68 references that are in the map. First posted on arXiv 26 Sep 2024.

Builds on

35 of 68 references.

References · 35

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23 more
  1. 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,141
  2. 2022A Time Series is Worth 64 Words: Long-term Forecasting with Transformerscited by 1,981
  3. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
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  16. 2023TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecastingcited by 170
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  18. 2023UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecastingcited by 139
  19. 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlookcited by 109
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 50; 2026: 38.

93 papers.

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  1. 2025MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answeringcited by 50
  2. 2025From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agentscited by 49
  3. 2025TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loopcited by 39
  4. 2025Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrativecited by 35
  5. 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Datasetcited by 35
  6. 2024TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysiscited by 28
  7. 2025Multi-modal Time Series Analysis: A Tutorial and Surveycited by 24
  8. 2025A Survey of Reasoning and Agentic Systems in Time Series with Large Language Modelscited by 21
  9. 2025How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlookcited by 20
  10. 2024Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Frameworkcited by 16
  11. 2025Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Seriescited by 16
  12. 2025TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learningcited by 16
38 more
  1. 2025LLM/Agent-as-Data-Analyst: A Surveycited by 15
  2. 2026TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Taskscited by 15
  3. 2025LLMs Can Teach Themselves to Better Predict the Futurecited by 13
  4. 2025SciTS: Scientific Time Series Understanding and Generation with LLMscited by 13
  5. 2025Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Eracited by 11
  6. 2025BEDTime: A Unified Benchmark for Automatically Describing Time Seriescited by 11
  7. 2025Inferring Events from Time Series using Language Modelscited by 10
  8. 2025EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solvingcited by 10
  9. 2025ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Modelscited by 9
  10. 2025AIA Forecaster: Technical Reportcited by 9
  11. 2025Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffscited by 8
  12. 2025CaTS-Bench: Can Language Models Describe Time Series?cited by 7
  13. 2024A Survey of Financial AI: Architectures, Advances and Open Challengescited by 6
  14. 2024How Much Can Time-related Features Enhance Time Series Forecasting?cited by 6
  15. 2025Evaluating LLMs on Real-World Forecasting Against Expert Forecasterscited by 6
  16. 2025Text Reinforcement for Multimodal Time Series Forecastingcited by 6
  17. 2024CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Eventscited by 5
  18. 2025USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agentscited by 5
  19. 2025Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecastingcited by 5
  20. 2025SoMe: A Realistic Benchmark for LLM-based Social Media Agentscited by 5
  21. 2025Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approachcited by 4
  22. 2025UniCA: Unified Covariate Adaptation for Time Series Foundation Modelcited by 4
  23. 2025Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applicationscited by 4
  24. 2025Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Studycited by 4
  25. 2025Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecastingcited by 3
  26. 2025Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecastingcited by 3
  27. 2025MoTime: A Dataset Suite for Multimodal Time Series Forecastingcited by 3
  28. 2025LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Modelscited by 3
  29. 2026From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Spacecited by 3
  30. 2026Building Social World Models with Large Language Modelscited by 3
  31. 2025Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiencycited by 2
  32. 2025Large Language Model-Empowered Interactive Load Forecastingcited by 2
  33. 2025Large Language models for Time Series Analysis: Techniques, Applications, and Challengescited by 2
  34. 2025EventTSF: Event-Aware Non-Stationary Time Series Forecastingcited by 2
  35. 2026A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspectivecited by 2
  36. 2025Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Marketscited by 1
  37. 2025LLMs Meet Cross-Modal Time Series Analytics: Overview and Directionscited by 1
  38. 2025DP-GPT4MTS: Dual-Prompt Large Language Model for Textual-Numerical Time Series Forecastingcited by 1

50 most cited of 93 All 93 (JSON)

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  1. 2026LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Applications
  2. 2024MIRAI: Evaluating LLM Agents for Event Forecasting
  3. 2024A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
  4. 2025TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
  5. 2026Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
  6. 2025Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?
  7. 2026Rethinking the Role of LLMs in Time Series Forecasting
  8. 2025NUM2EVENT: Interpretable Event Reasoning from Numerical time-series