mlsanityData to 7 Oct 2026

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization

arXiv 2411.06018 ↗First posted 9 Nov 2024cs.LG cs.AIcited by 31

On the map: LLM reasoning → Time series reasoning

Abstract (arXiv)

Large language models (LLMs), with demonstrated reasoning abilities across multiple domains, are largely underexplored for time-series reasoning (TsR), which is ubiquitous in the real world. In this work, we propose TimerBed, the first comprehensive testbed for evaluating LLMs' TsR performance. Specifically, TimerBed includes stratified reasoning patterns with real-world tasks, comprehensive combinations of LLMs and reasoning strategies, and various supervised models as comparison anchors. We perform extensive experiments with TimerBed, test multiple current beliefs, and verify the initial failures of LLMs in TsR, evidenced by the ineffectiveness of zero shot (ZST) and performance degradation of few shot in-context learning (ICL). Further, we identify one possible root cause: the numerical modeling of data. To address this, we propose a prompt-based solution VL-Time, using visualization-modeled data and language-guided reasoning. Experimental results demonstrate that Vl-Time enables multimodal LLMs to be non-trivial ZST and powerful ICL reasoners for time series, achieving about 140% average performance improvement and 99% average token costs reduction.

Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). Placed in Time series reasoning, one of 17 directions in LLM reasoning. Builds on 19 of its 56 references that are in the map. First posted on arXiv 9 Nov 2024.

Builds on

19 of 56 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024Towards Time Series Reasoning with LLMs17 Sep
  2. 2024Language Models Still Struggle to Zero-shot Reason about Time Series17 Apr

Other references · 17

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2024The Llama 3 Herd of Modelscited by 14,192
  3. 2024Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvementcited by 1,057
  4. 2023A Survey on Multimodal Large Language Modelscited by 898
  5. 2024DeepSeek-VL: Towards Real-World Vision-Language Understandingcited by 718
  6. 2021Towards Out-Of-Distribution Generalization: A Surveycited by 431
  7. 2024TrustLLM: Trustworthiness in Large Language Modelscited by 280
  8. 2024To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningcited by 257
  9. 2024OpenR: An Open Source Framework for Advanced Reasoning with Large Language Modelscited by 92
  10. 2024Many-Shot In-Context Learning in Multimodal Foundation Modelscited by 64
  11. 2024TimeSeriesExam: A time series understanding examcited by 47
  12. 2024TSI-Bench: Benchmarking Time Series Imputationcited by 33
5 more
  1. 2024On the Out-Of-Distribution Generalization of Multimodal Large Language Modelscited by 30
  2. 2024ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understandingcited by 23
  3. 2024Can LLMs Serve As Time Series Anomaly Detectors?cited by 22
  4. 2024MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Modelscited by 20
  5. 2024LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domaincited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 15; 2026: 16.

31 papers.

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  1. 2025Time-MQA: Time Series Multi-Task Question Answering with Context Enhancementcited by 74
  2. 2025A Survey of Reasoning and Agentic Systems in Time Series with Large Language Modelscited by 21
  3. 2025How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlookcited by 20
  4. 2025TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learningcited by 16
  5. 2025Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insightscited by 11
  6. 2026ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Responsecited by 5
  7. 2025TsLLM: Augmenting LLMs for General Time Series Understanding and Predictioncited by 4
  8. 2025Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement Learningcited by 4
  9. 2025LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Modelscited by 3
  10. 2026Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoningcited by 3
  11. 2025MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devicescited by 2
  12. 2025Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Visioncited by 2
19 more
  1. 2026Rethinking Post-Training Recipes for Multimodal Time-Series Forecastingcited by 2
  2. 2026TSRouter: Dynamic Modality-Model Selection for Time Series Reasoningcited by 2
  3. 2025ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Predictioncited by 1
  4. 2025TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecastingcited by 1
  5. 2025Tackling Time-Series Forecasting Generalization via Mitigating Concept Driftcited by 1
  6. 2026Prompting Underestimates LLM Capability for Time Series Classificationcited by 1
  7. 2026Multi-Modal Time Series Prediction via Mixture of Modulated Expertscited by 1
  8. 2026SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoningcited by 1
  9. 2025ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Cross-Modal Alignment Datasetcited by 0
  10. 2025From Time Series Analysis to Question Answering: A Survey in the LLM Eracited by 0
  11. 2026NeuroCanvas: VLLM-Powered Robust Seizure Detection by Reformulating Multichannel EEG as Imagecited by 0
  12. 2026BiomechAgent: AI-Assisted Biomechanical Analysis Through Code-Generating Agentscited by 0
  13. 2026AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detectioncited by 0
  14. 2026KairosVL: Orchestrating Time Series and Semantics for Unified Reasoningcited by 0
  15. 2026Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agentscited by 0
  16. 2026TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMscited by 0
  17. 2026Beyond Uniform Tokens: Adaptive Compression for Time Series Language Modelscited by 0
  18. 2026FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answeringcited by 0
  19. 2026A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Thoth: Mid-Training Bridges LLMs to Time Series Understanding
  2. 2026From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs
  3. 2025Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
  4. 2026LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics
  5. 2025Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data
  6. 2026TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
  7. 2025When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
  8. 2025TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning