mlsanityData to 14 Oct 2026

Large Language Models for Spatial Trajectory Patterns Mining

arXiv 2310.04942 ↗First posted 7 Oct 2023cs.LGcited by 27

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Abstract (arXiv)

Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderly care. Recent advancements in large language models (LLMs) have demonstrated their ability to reason in a manner akin to humans. This presents significant potential for analyzing temporal patterns in human mobility. In this paper, we conduct empirical studies to assess the capabilities of leading LLMs like GPT-4 and Claude-2 in detecting anomalous behaviors from mobility data, by comparing to specialized methods. Our key findings demonstrate that LLMs can attain reasonable anomaly detection performance even without any specific cues. In addition, providing contextual clues about potential irregularities could further enhances their prediction efficacy. Moreover, LLMs can provide reasonable explanations for their judgments, thereby improving transparency. Our work provides insights on the strengths and limitations of LLMs for human spatial trajectory analysis.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). Builds on 16 of its 50 references that are in the map. First posted on arXiv 7 Oct 2023.

Builds on

16 of 50 references.

References · 16

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
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  7. 2022Large Language Models are Zero-Shot Reasonerscited by 4,374
  8. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  9. 2022Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackcited by 3,720
  10. 2023A Survey of Large Language Modelscited by 2,576
  11. 2020Pre-trained Models for Natural Language Processing: A Surveycited by 505
  12. 2021MetaICL: Learning to Learn In Contextcited by 454
4 more
  1. 2023Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Surveycited by 135
  2. 2023Where Would I Go Next? Large Language Models as Human Mobility Predictorscited by 93
  3. 2022Leveraging Language Foundation Models for Human Mobility Forecastingcited by 50
  4. 2023Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Predictioncited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 16; 2025: 6; 2026: 5.

27 papers.

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  1. 2024Large Language Models for Time Series: A Surveycited by 114
  2. 2024Position: What Can Large Language Models Tell Us about Time Series Analysiscited by 47
  3. 2024AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Predictioncited by 25
  4. 2024Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Modelscited by 23
  5. 2024Empowering Time Series Analysis with Foundation Models: A Comprehensive Surveycited by 23
  6. 2024Can LLMs Serve As Time Series Anomaly Detectors?cited by 22
  7. 2024Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendationcited by 17
  8. 2024A Survey on Multimodal Wearable Sensor-based Human Action Recognitioncited by 10
  9. 2025Anomaly Detection and Generation with Diffusion Models: A Surveycited by 8
  10. 2024Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectoriescited by 5
  11. 2024Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectoriescited by 4
  12. 2024Time Series Foundational Models: Their Role in Anomaly Detection and Predictioncited by 4
15 more
  1. 2024UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generationcited by 3
  2. 2024A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMscited by 2
  3. 2024Kinematic Detection of Anomalies in Human Trajectory Datacited by 2
  4. 2024GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Datasetcited by 2
  5. 2025Urban Computing in the Era of Large Language Modelscited by 2
  6. 2025Towards Physics-informed Diffusion for Anomaly Detection in Trajectoriescited by 2
  7. 2024Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Datacited by 1
  8. 2026VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenancecited by 1
  9. 2025TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysiscited by 0
  10. 2025Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentationcited by 0
  11. 2025World-POI: Global Point-of-Interest Data Enriched from Foursquare and OpenStreetMap as Tabular and Graph Datacited by 0
  12. 2026Context-Enriched Natural Language Descriptions of Vessel Trajectoriescited by 0
  13. 2026VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detectioncited by 0
  14. 2026IBAD: Interpretable Behavioral Anomaly Detection on Human Mobility Datacited by 0
  15. 2026Staypoint Detection from Noisy Trajectory Data [Experiment Paper]cited by 0