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A Survey of Large Language Models for Time Series Anomaly Detection: Methods, Challenges, and Future Directions

https://doi.org/10.2139/ssrn.6033215
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Parameter-efficient fine-tuning in large language models: a survey of methodologies
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A Survey on the Impact of Pre-Trained Language Models in Sentiment Classification Task
inferredcites →https://doi.org/10.1016/j.eswa.2021.116429openalex-snapshot
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
inferredcites →https://doi.org/10.1016/j.eswa.2024.125861openalex-snapshot
LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large language model
inferredcites →https://doi.org/10.1016/j.inffus.2024.102223openalex-snapshot
Anomaly diagnosis of connected autonomous vehicles: A survey
inferredcites →https://doi.org/10.1016/j.jai.2024.12.003openalex-snapshot
Large language models for robotics: Opportunities, challenges, and perspectives
inferredcites →https://doi.org/10.1016/j.neucom.2019.07.034openalex-snapshot
Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study
inferredcites →https://doi.org/10.1016/j.ress.2024.110312openalex-snapshot
ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information
inferredcites →https://doi.org/10.1109/access.2025.3535782openalex-snapshot
Time-Series Large Language Models: A Systematic Review of State-of-the-Art
inferredcites →https://doi.org/10.1109/access.2025.3604216openalex-snapshot
Anomaly Detection Using Generative Language Models and Deep Feature-Based Time Series Similarity
inferredcites →https://doi.org/10.1109/access.2025.3613663openalex-snapshot
TriP-LLM: A Tri-Branch Patch-Wise Large Language Model Framework for Time-Series Anomaly Detection
inferredcites →https://doi.org/10.1109/bigdata62323.2024.10825679openalex-snapshot
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
inferredcites →https://doi.org/10.1109/cyswater.2016.7469060openalex-snapshot
SWaT: a water treatment testbed for research and training on ICS security
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053558openalex-snapshot
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model
inferredcites →https://doi.org/10.1109/iccsn.2010.55openalex-snapshot
ARIMA Based Network Anomaly Detection
inferredcites →https://doi.org/10.1109/jiot.2021.3100509openalex-snapshot
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT
inferredcites →https://doi.org/10.1109/tfuzz.2014.2302456openalex-snapshot
Anomaly Detection and Characterization in Spatial Time Series Data: A Cluster-Centric Approach
inferredcites →https://doi.org/10.1109/tits.2024.3380263openalex-snapshot
Time-Series Anomaly Detection in Automated Vehicles Using D-CNN-LSTM Autoencoder
inferredcites →https://doi.org/10.1109/tnnls.2020.2980749openalex-snapshot
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder
inferredcites →https://doi.org/10.1109/tpami.2024.3387317openalex-snapshot
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
inferredcites →https://doi.org/10.1109/tpami.2025.3566620openalex-snapshot
Graph Anomaly Detection in Time Series: A Survey
inferredcites →https://doi.org/10.1145/2500853.2500857openalex-snapshot
Enhancing one-class support vector machines for unsupervised anomaly detection
inferredcites →https://doi.org/10.1145/3055366.3055375openalex-snapshot
WADI
inferredcites →https://doi.org/10.1145/3292500.3330672openalex-snapshot
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
inferredcites →https://doi.org/10.1145/3444690openalex-snapshot
A Review on Outlier/Anomaly Detection in Time Series Data
inferredcites →https://doi.org/10.1145/3578366openalex-snapshot
Machine Learning-based Intrusion Detection for Smart Grid Computing: A Survey
inferredcites →https://doi.org/10.1145/3589334.3645710openalex-snapshot
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
inferredcites →https://doi.org/10.1145/3691338openalex-snapshot
Deep Learning for Time Series Anomaly Detection: A Survey
inferredcites →https://doi.org/10.1145/3715318openalex-snapshot
Scientific Large Language Models: A Survey on Biological & Chemical Domains
inferredcites →https://doi.org/10.1145/3716816.3727968openalex-snapshot
LLM-Based Fault Detection in Connected Vehicle Time-Series Data
inferredcites →https://doi.org/10.1145/3729219openalex-snapshot
Privacy Preserving Prompt Engineering: A Survey
inferredcites →https://doi.org/10.1609/aaai.v35i5.16523openalex-snapshot
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.160openalex-snapshot
Fast WordPiece Tokenization
inferredcites →https://doi.org/10.3390/s23052844openalex-snapshot
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions
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