Image de couverture de livre

LogLLM: Log-based Anomaly Detection Using Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Guan, Wei, Cao, Jian, Qian, Shiyou, Gao, Jianqi, Ouyang, Chun
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLM-SrcLog: Towards Proactive and Unified Log Template Extraction via Large Language Models
par: Sun, Jiaqi, et autres
Publié: (2025)

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
par: Zhong, Aoxiao, et autres
Publié: (2024)

LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models
par: Ma, Zeyang, et autres
Publié: (2024)

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
par: Zhang, Lingzhe, et autres
Publié: (2024)

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
par: Guo, Hongcheng, et autres
Publié: (2024)

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction
par: Ma, Lei, et autres
Publié: (2026)

LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
par: Ma, Zeyang, et autres
Publié: (2024)

Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation
par: Ma, Lei, et autres
Publié: (2026)

MLAD: A Unified Model for Multi-system Log Anomaly Detection
par: Zang, Runqiang, et autres
Publié: (2024)

Graph Neural Networks based Log Anomaly Detection and Explanation
par: Li, Zhong, et autres
Publié: (2023)

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
par: Yu, Jianbo, et autres
Publié: (2026)

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
par: Ma, Lipeng, et autres
Publié: (2025)

LogDx-CI: Benchmarking Log Reduction Tools for LLM Root-Cause Diagnosis
par: Qin, Bowen
Publié: (2026)

R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning
par: Liu, Yilun, et autres
Publié: (2025)

LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
par: Ma, Lipeng, et autres
Publié: (2024)

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging
par: Zhang, Wei, et autres
Publié: (2024)

From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning
par: Zhao, Xinlong, et autres
Publié: (2025)

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
par: Karanjai, Rabimba, et autres
Publié: (2024)

OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
par: Ouatiti, Youssef Esseddiq, et autres
Publié: (2025)

LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
par: Ma, Lipeng, et autres
Publié: (2025)

What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
par: Wu, Xingfang, et autres
Publié: (2024)

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
par: Wang, Yawen, et autres
Publié: (2026)

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
par: Aghili, Roozbeh, et autres
Publié: (2025)

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation
par: Duan, Chiming, et autres
Publié: (2025)

On the Effectiveness of Log Representation for Log-based Anomaly Detection
par: Wu, Xingfang, et autres
Publié: (2023)

Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
par: Gupta, Pranjal, et autres
Publié: (2025)

NLP-Based .NET CLR Event Logs Analyzer
par: Stavtsev, Maxim, et autres
Publié: (2025)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
par: Yuan, He Yang, et autres
Publié: (2026)

ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection
par: Zhao, Xinlong, et autres
Publié: (2025)

A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection
par: Wang, Yuqing, et autres
Publié: (2026)

AgentTrace: A Structured Logging Framework for Agent System Observability
par: AlSayyad, Adam, et autres
Publié: (2026)

LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
par: Ye, Jingwei, et autres
Publié: (2025)

Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance
par: Dimidov, Valeriu, et autres
Publié: (2025)

REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment
par: Mudgal, Priyanka
Publié: (2025)

Multivariate Log-based Anomaly Detection for Distributed Database
par: Zhang, Lingzhe, et autres
Publié: (2024)

Practitioners' Expectations on Log Anomaly Detection
par: Ma, Xiaoxue, et autres
Publié: (2024)

Cross-System Software Log-based Anomaly Detection Using Meta-Learning
par: Wang, Yuqing, et autres
Publié: (2024)

Automating the Detection of Requirement Dependencies Using Large Language Models
par: Darif, Ikram, et autres
Publié: (2026)

LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
par: Hadadi, Fatemeh, et autres
Publié: (2024)

IOTEL: A Tool for Generating IoT-enriched Object-Centric Event Logs
par: Wei, Jia, et autres
Publié: (2026)