Cover Image

ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Hui, Xu, Chang, Xie, Haonan, Li, Hao, Huang, Yuhao, Zhang, Chuheng, Jin, Ming, Liu, Xiaoguang, Wang, Gang, Bian, Jiang
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
by: Li, Beibu, et al.
Published: (2025)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
by: Chen, PengYu, et al.
Published: (2026)

DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
by: Zhang, Hui, et al.
Published: (2023)

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
by: Deng, Bowen, et al.
Published: (2025)

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback
by: Yang, Yiyuan, et al.
Published: (2025)

BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2026)

ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)

OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
by: Wette, Sebastian, et al.
Published: (2024)

ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
by: Khan, Uzair, et al.
Published: (2026)

MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
by: Liang, Zhenwen, et al.
Published: (2024)

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
by: Zhang, Wenxin, et al.
Published: (2025)

SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)

OATS: Online Data Augmentation for Time Series Foundation Models
by: Deng, Junwei, et al.
Published: (2026)

TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning
by: Kong, Yaxuan, et al.
Published: (2026)

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
by: Fan, Xinyao, et al.
Published: (2024)

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection
by: Sánchez-Ferrera, Aitor, et al.
Published: (2025)

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
by: Xie, Zhe, et al.
Published: (2024)

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection
by: Li, Gang, et al.
Published: (2025)

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD
by: Yeh, Chin-Chia Michael
Published: (2026)

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)

SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
by: Sun, Ye, et al.
Published: (2025)

LLM-Enhanced Reinforcement Learning for Time Series Anomaly Detection
by: Golchin, Bahareh, et al.
Published: (2026)

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning
by: Zhao, Shifang, et al.
Published: (2025)

Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection
by: Lee, Ming-Chang, et al.
Published: (2024)

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information
by: Lu, Yi-Xiang, et al.
Published: (2024)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
by: Wu, Zhangkai, et al.
Published: (2024)

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
by: Zhou, Xiaona, et al.
Published: (2026)

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
by: Zhang, Junru, et al.
Published: (2026)

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning
by: Tao, Xiaoyu, et al.
Published: (2026)

Warped Time Series Anomaly Detection
by: Lacoquelle, Charlotte, et al.
Published: (2024)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)

VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
by: Yang, Yingyuan, et al.
Published: (2026)

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
by: Zhang, Xu, et al.
Published: (2026)

Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
by: Zheng, Yu, et al.
Published: (2024)

TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection
by: He, Hui, et al.
Published: (2026)

Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data
by: Quinlan, Paul, et al.
Published: (2025)

From Harm to Help: Turning Reasoning In-Context Demos into Assets for Reasoning LMs
by: Wang, Haonan, et al.
Published: (2025)