LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Lipeng, Li, Yixuan, Yang, Weidong, Zhou, Mingjie, Liu, Xinyi, Fei, Ben, Li, Shuhao, Sun, Xiaoyan, Jiang, Sihang, Xiao, Yanghua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
by: Ma, Lipeng, et al.
Published: (2024)
by: Ma, Lipeng, et al.
Published: (2024)
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
by: Ma, Lipeng, et al.
Published: (2025)
by: Ma, Lipeng, et al.
Published: (2025)
PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval
by: Li, Yixuan, et al.
Published: (2025)
by: Li, Yixuan, et al.
Published: (2025)
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
by: Li, Yichen, et al.
Published: (2023)
by: Li, Yichen, et al.
Published: (2023)
R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning
by: Liu, Yilun, et al.
Published: (2025)
by: Liu, Yilun, et al.
Published: (2025)
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements
by: Zhong, Renyi, et al.
Published: (2024)
by: Zhong, Renyi, et al.
Published: (2024)
Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
LogPTR: Variable-Aware Log Parsing with Pointer Network
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
by: Liu, Xinyi, et al.
Published: (2025)
by: Liu, Xinyi, et al.
Published: (2025)
LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
by: Ye, Jingwei, et al.
Published: (2025)
by: Ye, Jingwei, et al.
Published: (2025)
Stronger, Cheaper and Demonstration-Free Log Parsing with LLMs
by: Xiao, Yi, et al.
Published: (2024)
by: Xiao, Yi, et al.
Published: (2024)
Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs
by: Zhong, Renyi, et al.
Published: (2026)
by: Zhong, Renyi, et al.
Published: (2026)
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
by: Yu, Jianbo, et al.
Published: (2026)
by: Yu, Jianbo, et al.
Published: (2026)
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache
by: Jiang, Zhihan, et al.
Published: (2023)
by: Jiang, Zhihan, et al.
Published: (2023)
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)
by: Yuan, He Yang, et al.
Published: (2026)
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
by: Karanjai, Rabimba, et al.
Published: (2024)
by: Karanjai, Rabimba, et al.
Published: (2024)
LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog)
by: Zhang, Lingzhe, et al.
Published: (2025)
by: Zhang, Lingzhe, et al.
Published: (2025)
LogLM: From Task-based to Instruction-based Automated Log Analysis
by: Liu, Yilun, et al.
Published: (2024)
by: Liu, Yilun, et al.
Published: (2024)
End-to-End Automated Logging via Multi-Agent Framework
by: Zhong, Renyi, et al.
Published: (2025)
by: Zhong, Renyi, et al.
Published: (2025)
On the Effectiveness of Log Representation for Log-based Anomaly Detection
by: Wu, Xingfang, et al.
Published: (2023)
by: Wu, Xingfang, et al.
Published: (2023)
LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping
by: Huang, Shu-Wei, et al.
Published: (2025)
by: Huang, Shu-Wei, et al.
Published: (2025)
AUCAD: Automated Construction of Alignment Dataset from Log-Related Issues for Enhancing LLM-based Log Generation
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
DeLog: An Efficient Log Compression Framework with Pattern Signature Synthesis
by: Yu, Siyu, et al.
Published: (2026)
by: Yu, Siyu, et al.
Published: (2026)
Practitioners' Expectations on Log Anomaly Detection
by: Ma, Xiaoxue, et al.
Published: (2024)
by: Ma, Xiaoxue, et al.
Published: (2024)
ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection
by: Zhao, Xinlong, et al.
Published: (2025)
by: Zhao, Xinlong, et al.
Published: (2025)
Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection
by: Wang, Yuqing, et al.
Published: (2026)
by: Wang, Yuqing, et al.
Published: (2026)
A Novel Approach for Automated Design Information Mining from Issue Logs
by: Zhao, Jiuang, et al.
Published: (2024)
by: Zhao, Jiuang, et al.
Published: (2024)
AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection
by: Li, Xinyu, et al.
Published: (2025)
by: Li, Xinyu, et al.
Published: (2025)
On Sequence-to-Sequence Models for Automated Log Parsing
by: Sorrenti, Adam, et al.
Published: (2026)
by: Sorrenti, Adam, et al.
Published: (2026)
LogFold: Compressing Logs with Structured Tokens and Hybrid Encoding
by: Shan, Shiwen, et al.
Published: (2026)
by: Shan, Shiwen, et al.
Published: (2026)
CelerLog: Fast Log Parsing via Dynamic Routing
by: Shan, Shiwen, et al.
Published: (2026)
by: Shan, Shiwen, et al.
Published: (2026)
Go Static: Contextualized Logging Statement Generation
by: Li, Yichen, et al.
Published: (2024)
by: Li, Yichen, et al.
Published: (2024)
LogPrism: Unifying Structure and Variable Encoding for Effective Log Compression
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
Is Your Private Information Logged? An Empirical Study on Android App Logs
by: Chen, Zhiyuan, et al.
Published: (2026)
by: Chen, Zhiyuan, et al.
Published: (2026)
LLM-SrcLog: Towards Proactive and Unified Log Template Extraction via Large Language Models
by: Sun, Jiaqi, et al.
Published: (2025)
by: Sun, Jiaqi, et al.
Published: (2025)
Plug it and Play on Logs: A Configuration-Free Statistic-Based Log Parser
by: Qin, Qiaolin, et al.
Published: (2025)
by: Qin, Qiaolin, et al.
Published: (2025)
PDLogger: Automated Logging Framework for Practical Software Development
by: Duan, Shengcheng, et al.
Published: (2025)
by: Duan, Shengcheng, et al.
Published: (2025)
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
by: Zhong, Aoxiao, et al.
Published: (2024)
by: Zhong, Aoxiao, et al.
Published: (2024)
Similar Items
-
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
by: Ma, Lipeng, et al.
Published: (2024) -
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
by: Ma, Lipeng, et al.
Published: (2025) -
PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval
by: Li, Yixuan, et al.
Published: (2025) -
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
by: Wang, Xin, et al.
Published: (2025) -
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
by: Li, Yichen, et al.
Published: (2023)