LLM-Based Time Series Anomaly Detection

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11 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision

    Oct 5, 2026Tian Lan, Yifei Gao, Yimeng Lu +5LLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    Department of Industrial Engineering, Tsinghua University · Huawei

  2. LEARN-TS: LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Multivariate Time-Series Anomaly Detection

    Sep 30, 2026Jahyeob Koo, Kio Yun, Byoungmo Koo +1LLM-Based Time Series Anomaly DetectionAnomaly Localization

    Department of Industrial and Management Engineering, Korea University Seoul, Republic of Korea

  3. LLM Agents for Time-Series: A Survey

    Aug 26, 2026Yilong Chen, Xiao Qin, Chenghao Liu +3LLM-Based Time Series Anomaly DetectionLLM Agents

    Northwestern University · Datadog AI Research · Nokia

  4. Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection

    Aug 25, 2026Jungwook Seo, Sangwon Son, Minjeong Kim +3LLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    Department of Artificial Intelligence, Hanyang University Seoul, Republic of Korea · Department of Data Science, Hanyang University Seoul, Republic of Korea

  5. TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

    Aug 4, 2026Nicolas Zumarraga, Lorenzo Steno, Ning Wang +9Language ModelingAnomaly Localization

    1Agentic Systems Lab, ETH Zürich · 3Seldon Technologies · 2Stanford University +4

  6. ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization

    Jun 11, 2026Aitor Sánchez-Ferrera, Elisabeth Wetzer, Kristoffer Wickstrøm +2Prototype-Based LearningLLM-Based Time Series Anomaly Detection

    aDepartment of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, Donostia, Spain · bDepartment of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway

  7. Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

    May 28, 2026Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2LLM-Based Time Series Anomaly DetectionInterpretable Anomaly Detection

    University of Illinois Urbana-Champaign · Sandia National Laboratories

  8. Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers

    May 7, 2026Hyeongwon Kang, Jeongseob Kim, Jinwoo Park +1LLM-Based Time Series Anomaly DetectionInterpretable Anomaly Detection

    Department of Industrial and Management Engineering Korea University · Mirae Asset Securities · Department of Industrial Engineering Seoul National University

  9. ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection

    Apr 15, 2026Romain Hermary, Samet Hicsonmez, Dan Pineau +2LLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    University of Luxembourg, Luxembourg

  10. Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection

    Mar 13, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerLLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    Mercedes-Benz AG, Germany · Institute for Intelligent Systems, Esslingen University of Applied Sciences, Germany

  11. Selective Denoising Diffusion Model for Time Series Anomaly Detection

    Feb 27, 2026Kohei Obata, Zheng Chen, Yasuko Matsubara +2LLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    SANKEN, The University of Osaka, Osaka, Japan · Great Bay University, Dongguan, China