AXIS: Explainable Time Series Anomaly Detection with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lan, Tian, Le, Hao Duong, Li, Jinbo, He, Wenjun, Wang, Meng, Liu, Chenghao, Zhang, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
by: Liu, Chen, et al.
Published: (2024)
by: Liu, Chen, et al.
Published: (2024)
Label-Free Multivariate Time Series Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2025)
by: Chen, Feiyi, et al.
Published: (2025)
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
by: Kim, Minha, et al.
Published: (2024)
by: Kim, Minha, et al.
Published: (2024)
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling
by: Lee, Daesoo, et al.
Published: (2023)
by: Lee, Daesoo, et al.
Published: (2023)
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
by: Yang, Yingyuan, et al.
Published: (2026)
by: Yang, Yingyuan, et al.
Published: (2026)
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)
by: Si, Haotian, et al.
Published: (2024)
TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection
by: He, Hui, et al.
Published: (2026)
by: He, Hui, et al.
Published: (2026)
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
by: Hao, Xinli, et al.
Published: (2024)
by: Hao, Xinli, et al.
Published: (2024)
Harnessing Vision-Language Models for Time Series Anomaly Detection
by: He, Zelin, et al.
Published: (2025)
by: He, Zelin, et al.
Published: (2025)
Contextual and Seasonal LSTMs for Time Series Anomaly Detection
by: Zhang, Lingpei, et al.
Published: (2026)
by: Zhang, Lingpei, et al.
Published: (2026)
STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2025)
by: Cheng, Hanyin, et al.
Published: (2025)
Selective Denoising Diffusion Model for Time Series Anomaly Detection
by: Obata, Kohei, et al.
Published: (2026)
by: Obata, Kohei, et al.
Published: (2026)
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision
by: Liu, Chen, et al.
Published: (2024)
by: Liu, Chen, et al.
Published: (2024)
Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
by: Obata, Kohei, et al.
Published: (2025)
by: Obata, Kohei, et al.
Published: (2025)
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)
by: Liu, Zhe, et al.
Published: (2024)
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
by: Zhang, Wenxin, et al.
Published: (2025)
by: Zhang, Wenxin, et al.
Published: (2025)
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
by: Wu, Zhangkai, et al.
Published: (2024)
by: Wu, Zhangkai, et al.
Published: (2024)
CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series
by: Zhang, Songhan, et al.
Published: (2025)
by: Zhang, Songhan, et al.
Published: (2025)
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)
by: Yin, Tao, et al.
Published: (2025)
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
by: Liu, Qingxiang, et al.
Published: (2024)
by: Liu, Qingxiang, et al.
Published: (2024)
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
by: Ye, Muchao, et al.
Published: (2024)
by: Ye, Muchao, et al.
Published: (2024)
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift
by: Chen, Mouxiang, et al.
Published: (2023)
by: Chen, Mouxiang, et al.
Published: (2023)
AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning
by: Tao, Xiaoyu, et al.
Published: (2026)
by: Tao, Xiaoyu, et al.
Published: (2026)
Statistical Inference for Clustering-based Anomaly Detection
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
by: Liu, Shijie, et al.
Published: (2026)
by: Liu, Shijie, et al.
Published: (2026)
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
by: Li, Beibu, et al.
Published: (2025)
by: Li, Beibu, et al.
Published: (2025)
DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
by: Li, Yuewei, et al.
Published: (2026)
by: Li, Yuewei, et al.
Published: (2026)
End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
by: Deforce, Boje, et al.
Published: (2024)
by: Deforce, Boje, et al.
Published: (2024)
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
by: Wang, Yaxuan, et al.
Published: (2025)
by: Wang, Yaxuan, et al.
Published: (2025)
Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
by: Qiu, Xiangfei, et al.
Published: (2025)
by: Qiu, Xiangfei, et al.
Published: (2025)
Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection
by: Tang, Qideng, et al.
Published: (2026)
by: Tang, Qideng, et al.
Published: (2026)
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
by: Liu, Jinyang, et al.
Published: (2024)
by: Liu, Jinyang, et al.
Published: (2024)
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
by: Le, Long Tan, et al.
Published: (2025)
by: Le, Long Tan, et al.
Published: (2025)
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)
by: Zhou, Quan, et al.
Published: (2024)
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
by: Chen, Jiazhen, et al.
Published: (2025)
by: Chen, Jiazhen, et al.
Published: (2025)
Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Similar Items
-
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
by: Lan, Tian, et al.
Published: (2025) -
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
by: Liu, Chen, et al.
Published: (2024) -
Label-Free Multivariate Time Series Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023) -
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
by: Lan, Tian, et al.
Published: (2025) -
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2025)