Cover Image

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Tiankai, Liu, Junjun, Siu, Wingchun, Wang, Jiahang, Qian, Zhuangzhuang, Song, Chanjuan, Cheng, Cheng, Hu, Xiyang, Zhao, Yue
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AD-LLM: Benchmarking Large Language Models for Anomaly Detection
by: Yang, Tiankai, et al.
Published: (2024)

NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)

PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
by: Chen, Sihan, et al.
Published: (2024)

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
by: Tang, Yiming, et al.
Published: (2025)

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
by: Xu, Ruiyao, et al.
Published: (2026)

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection
by: Wang, Yue, et al.
Published: (2025)

MGSC: A Multi-granularity Consistency Framework for Robust End-to-end Asr
by: Yang, Xuwen
Published: (2025)

AGENT-X: Adaptive Guideline-based Expert Network for Threshold-free AI-generated teXt detection
by: Li, Jiatao, et al.
Published: (2025)

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
by: Gong, Yue, et al.
Published: (2025)

Language Shapes Mental Health Evaluations in Large Language Models
by: Xu, Jiayi, et al.
Published: (2026)

OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation
by: Zhang, Qinglin, et al.
Published: (2024)

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models
by: Yu, Chenxiao, et al.
Published: (2024)

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
by: Luo, Haoran, et al.
Published: (2025)

Data Augmentation for End-to-end Code-switching Speech Recognition
by: Du, Chenpeng, et al.
Published: (2020)

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines
by: Hu, Xiyang
Published: (2025)

Cat-DPO: Category-Adaptive Safety Alignment
by: Yang, Tiankai, et al.
Published: (2026)

Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent Debate Framework
by: Sun, Xiaoxi, et al.
Published: (2024)

FormalASR: End-to-End Spoken Chinese to Formal Text
by: Ning, Wanyi, et al.
Published: (2026)

Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
by: Liu, Wenjin, et al.
Published: (2025)

What Do LLMs Know About Alzheimer's Disease? Multi-loss Fine-Tuning and Probing for AD Detection
by: Jiang, Lei, et al.
Published: (2026)

DP-GPT4MTS: Dual-Prompt Large Language Model for Textual-Numerical Time Series Forecasting
by: Liu, Chanjuan, et al.
Published: (2025)

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
by: Savigny, Henri, et al.
Published: (2025)

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
by: Fang, Haoyang, et al.
Published: (2025)

YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection
by: Zhou, Xuanru, et al.
Published: (2024)

Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent
by: Cheng, Shanbo, et al.
Published: (2024)

Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
by: Zhang, Yiqun, et al.
Published: (2024)

PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2024)

End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
by: Guan, Wei, et al.
Published: (2024)

EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents
by: Bogavelli, Tara, et al.
Published: (2026)

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation
by: Haffoudhi, Samy, et al.
Published: (2026)

Synergy: End-to-end Concept Model
by: Zheng, Keli, et al.
Published: (2025)

End-to-end Speech Recognition with similar length speech and text
by: Fan, Peng, et al.
Published: (2025)

End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering
by: Hu, Jiliang, et al.
Published: (2025)

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces
by: Xu, Zhenran, et al.
Published: (2025)

TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters
by: Lu, Jiawei, et al.
Published: (2024)

Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers
by: Du, Yixuan, et al.
Published: (2026)

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection
by: Liu, Ziyan, et al.
Published: (2025)

Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom
by: Yue, Shisen, et al.
Published: (2024)

Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
by: Liu, Jinbo, et al.
Published: (2025)