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LILAC: Log Parsing using LLMs with Adaptive Parsing Cache
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An Assessment of ChatGPT on Log Data
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A comprehensive study of machine learning techniques for log-based anomaly detection
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Self-supervised log parsing using semantic contribution difference
inferredcites →https://doi.org/10.1109/ase.2019.00085openalex-snapshot
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
inferredcites →https://doi.org/10.1109/ase56229.2023.00031openalex-snapshot
Generative Type Inference for Python
inferredcites →https://doi.org/10.1109/ase56229.2023.00109openalex-snapshot
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
inferredcites →https://doi.org/10.1109/ase56229.2023.00206openalex-snapshot
Log Parsing: How Far Can ChatGPT Go?
inferredcites →https://doi.org/10.1109/cnsm.2015.7367331openalex-snapshot
LogCluster - A data clustering and pattern mining algorithm for event logs
inferredcites →https://doi.org/10.1109/dsn.2016.66openalex-snapshot
An Evaluation Study on Log Parsing and Its Use in Log Mining
inferredcites →https://doi.org/10.1109/icdm.2016.0103openalex-snapshot
Spell: Streaming Parsing of System Event Logs
inferredcites →https://doi.org/10.1109/icse-seip.2019.00021openalex-snapshot
Tools and Benchmarks for Automated Log Parsing
inferredcites →https://doi.org/10.1109/icse.2015.145openalex-snapshot
Industry Practices and Event Logging: Assessment of a Critical Software Development Process
inferredcites →https://doi.org/10.1109/icse.2019.00031openalex-snapshot
Mining Historical Test Logs to Predict Bugs and Localize Faults in the Test Logs
inferredcites →https://doi.org/10.1109/icse48619.2023.00078openalex-snapshot
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
inferredcites →https://doi.org/10.1109/icse48619.2023.00082openalex-snapshot
SemParser: A Semantic Parser for Log Analytics
inferredcites →https://doi.org/10.1109/icse48619.2023.00204openalex-snapshot
Log Parsing with Prompt-based Few-shot Learning
inferredcites →https://doi.org/10.1109/icws.2017.13openalex-snapshot
Drain: An Online Log Parsing Approach with Fixed Depth Tree
inferredcites →https://doi.org/10.1109/icws49710.2020.00026openalex-snapshot
Root-Cause Metric Location for Microservice Systems via Log Anomaly Detection
inferredcites →https://doi.org/10.1109/ipom.2003.1251233openalex-snapshot
A data clustering algorithm for mining patterns from event logs
inferredcites →https://doi.org/10.1109/issre59848.2023.00019openalex-snapshot
Log Parsing Evaluation in the Era of Modern Software Systems
inferredcites →https://doi.org/10.1109/issre59848.2023.00071openalex-snapshot
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
inferredcites →https://doi.org/10.1109/msr.2010.5463281openalex-snapshot
Abstracting log lines to log event types for mining software system logs
inferredcites →https://doi.org/10.1109/msr.2019.00081openalex-snapshot
Tracing Back Log Data to its Log Statement: From Research to Practice
inferredcites →https://doi.org/10.1109/qsic.2008.50openalex-snapshot
Abstracting Execution Logs to Execution Events for Enterprise Applications (Short Paper)
inferredcites →https://doi.org/10.1109/scc.2013.73openalex-snapshot
Incremental Mining of System Log Format
inferredcites →https://doi.org/10.1109/tnsm.2023.3282270openalex-snapshot
LogRule: Efficient Structured Log Mining for Root Cause Analysis
inferredcites →https://doi.org/10.1109/tsc.2023.3270566openalex-snapshot
Brain: Log Parsing With Bidirectional Parallel Tree
inferredcites →https://doi.org/10.1109/tse.2020.3007554openalex-snapshot
Logram: Efficient Log Parsing Using n-Gram Dictionaries
inferredcites →https://doi.org/10.1109/tse.2021.3069958openalex-snapshot
Improving State-of-the-Art Compression Techniques for Log Management Tools
inferredcites →https://doi.org/10.1109/tse.2021.3071473openalex-snapshot
Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1557019.1557154openalex-snapshot
Clustering event logs using iterative partitioning
inferredcites →https://doi.org/10.1145/1629575.1629587openalex-snapshot
Detecting large-scale system problems by mining console logs
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A search-based approach for accurate identification of log message formats
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Robust log-based anomaly detection on unstable log data
inferredcites →https://doi.org/10.1145/3468264.3473933openalex-snapshot
An empirical investigation of practical log anomaly detection for online service systems
inferredcites →https://doi.org/10.1145/3485447.3511993openalex-snapshot
UniParser: A Unified Log Parser for Heterogeneous Log Data
inferredcites →https://doi.org/10.1145/3510003.3510101openalex-snapshot
Guidelines for assessing the accuracy of log message template identification techniques
inferredcites →https://doi.org/10.1145/3510003.3510155openalex-snapshot
Log-based anomaly detection with deep learning
inferredcites →https://doi.org/10.1145/3510003.3511561openalex-snapshot
Using deep learning to generate complete log statements
inferredcites →https://doi.org/10.1145/3552326.3587438openalex-snapshot
Tabi: An Efficient Multi-Level Inference System for Large Language Models
inferredcites →https://doi.org/10.1145/3560815openalex-snapshot
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.1145/3597503.3608129openalex-snapshot
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data
inferredcites →https://doi.org/10.1145/3597503.3639074openalex-snapshot
Unveiling Memorization in Code Models
inferredcites →https://doi.org/10.1145/3597503.3639155openalex-snapshot
DivLog: Log Parsing with Prompt Enhanced In-Context Learning
inferredcites →https://doi.org/10.1145/3611643.3616260openalex-snapshot
Hue: A User-Adaptive Parser for Hybrid Logs
inferredcites →https://doi.org/10.1145/3639478.3643108openalex-snapshot
LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis
inferredcites →https://doi.org/10.1145/3641399.3644114openalex-snapshot
SPINE: A Scalable Log Parser with Feedback Guidance
inferredcites →https://doi.org/10.1145/3650212.3652123openalex-snapshot
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
inferredcites →https://doi.org/10.3233/faia230559openalex-snapshot
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning
inferredcites →https://doi.org/10.3929/ethz-b-000719979openalex-snapshot
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
inferredcites →https://doi.org/10.48550/arxiv.1611.03213openalex-snapshot
Length Matters: Clustering System Log Messages using Length of Words
inferredcites →https://doi.org/10.48550/arxiv.2301.00234openalex-snapshot
A Survey on In-context Learning
inferredcites →https://doi.org/10.48550/arxiv.2301.00303openalex-snapshot
Rethinking with Retrieval: Faithful Large Language Model Inference
inferredcites →https://doi.org/10.48550/arxiv.2302.12813openalex-snapshot
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
inferredcites →https://doi.org/10.48550/arxiv.2304.10513openalex-snapshot
Why Does ChatGPT Fall Short in Providing Truthful Answers?
inferredcites →https://doi.org/10.48550/arxiv.2305.14325openalex-snapshot
Improving Factuality and Reasoning in Language Models through Multiagent Debate
inferredcites →https://doi.org/10.48550/arxiv.2306.05032openalex-snapshot
Log-based Anomaly Detection based on EVT Theory with feedback
inferredcites →https://doi.org/10.48550/arxiv.2307.05950openalex-snapshot
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
inferredcites →https://doi.org/10.52202/068431-2198openalex-snapshot
LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Exploring Large Language Models in Information Systems: A Survey
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Applied Modified Metaheuristic: Optimization for Anomaly Detection in Cloud-System Operational Logs
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MobileLogZip: Lightweight LLM-Driven Tiered Log Compression for Mobile Computing
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Cloud System Logs Analysis Utilizing BERT and AdaBoost Tuned With Modified Sinh Cosh Optimizer
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LogCraft: Pattern-Guided Iterative Clustering for Efficient Unsupervised LLM-Driven Log Parsing
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VocabLog: A Vocabulary-Driven and LLM-Augmented Framework for High-Performance Log Parsing
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Log Parsing with LLMs Featuring Self-reflection and Continuous Refining
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Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
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EM-Merge: Consolidating Fragmented Templates in LLM Log Parsing
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LogSieve: Log Parsing with Selective LLM-Based Template Rectification
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LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table
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DebiasParser: Debiasing LLM-Based Log Parsing via Front-Door Adjustment
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Using large language models for template detection from security event logs
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Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser
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LogEval: A comprehensive benchmark suite for LLMs in log analysis
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Plug it and Play on Logs: A configuration-free statistic-based log parser
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chatHPC: Empowering HPC users with large language models
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LogMerge: improved log parsing based on two-step clustering combined with low-level token processing
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LogERT:Stable log template mining method based on evolving re-search trees
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A lightweight machine learning method for real-time log anomaly detection
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Fine-tuning and prompt engineering for large language models-based code review automation
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SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection
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SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning
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Token interdependency parsing (Tipping)—A map-reduced based statistical log parser
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Industrial log analysis revisited: A task-oriented evaluation of parsing and anomaly detection under real-world constraints
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CausalLog: Log parsing using LLMs with causal intervention for bias mitigation
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LogGzip: Towards log Parsing with lossless compression
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LogMeta: A few-shot model-agnostic meta-learning framework for robust and adaptive log anomaly detection
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LogNER: Enhancing log semantics with LLM-driven entity recognition
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SCULP: An unsupervised LLM-based log parser with self-correcting capabilities
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Efficient Cyberattack Detection in Logs of Cyber-Physical Production Systems
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AI for science: Progress, challenges, and perspectives
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Automated Testing for Service-Oriented Architecture: Leveraging Large Language Models for Enhanced Service Composition
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Understanding Industrial Log Analysis: A Multi-Dataset Evaluation of Parsing and Anomaly Detection
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LogExpertSolver: A Multi-Agent Framework for Domain-Specialized Log Parsing
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Improving LLM-based Log Parsing by Learning from Errors in Reasoning Traces
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LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems
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Automated Proactive Logging Quality Improvement for Large-Scale Codebases
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Can Large Language Models Be Trusted for AI-Based Intrusion Detection in Cybersecurity? An Evidence-Grounded Log Analysis
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Extensive Log Analysis Using Small Language Models in Minimal Resource Environments
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LLM-powered Zero-shot Online Log Parsing
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VET-Parser: Variable-Evidence-Driven Log Parsing with Selective Large Language Model Arbitration
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FG-CIBGC: A Unified Framework for Fine-Grained and Class-Incremental Behavior Graph Classification
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Exploring Variable Potential for LLM-based Log Parsing Efficiency and Reduced Costs
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Automatic Programming: Large Language Models and Beyond
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Adaptive and Efficient Log Parsing as a Cloud Service
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No More Labelled Examples? An Unsupervised Log Parser with LLMs
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LogUpdater : Automated Detection and Repair of Specific Defects in Logging Statements
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Knowledge-Augmented Log Anomaly Detection with Large Language Models
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Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge
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Parse-LLM: A Prior-Free LLM Parser for Unknown System Logs
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EchoMind: Supporting Real-time Complex Problem Discussions through Human-AI Collaborative Facilitation
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Concord: Learning Network Configuration Contracts
inferred← citeshttps://doi.org/10.1145/3773287openalex-snapshot
Larger Is Not Always Better: Exploring Small Open-Source Language Models in Logging Statement Generation
inferred← citeshttps://doi.org/10.1145/3786583.3786913openalex-snapshot
R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3789240.3829126openalex-snapshot
AIDA: Accelerating Root Cause Analysis for Multi-Vendor Device Failures with LLM-Powered Reasoning
inferred← citeshttps://doi.org/10.1145/3794763.3794808openalex-snapshot
SCOPE:Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration
inferred← citeshttps://doi.org/10.1145/3797129openalex-snapshot
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
inferred← citeshttps://doi.org/10.1145/3797145openalex-snapshot
Small Is Beautiful: A Practical and Efficient Log Parsing Framework
inferred← citeshttps://doi.org/10.1145/3801228.3801287openalex-snapshot
ParSimMerge: A Scalable Log Parser based on Parallelized Similarity-based Merge Optimization
inferred← citeshttps://doi.org/10.1145/3801747openalex-snapshot
LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
inferred← citeshttps://doi.org/10.1145/3803019openalex-snapshot
Not-So-Pretty: Studying and Segmenting Multiline Console Logs
inferred← citeshttps://doi.org/10.1145/3803437.3804863openalex-snapshot
Unsupervised Extraction of Latent Structures in Software Operations Data
inferred← citeshttps://doi.org/10.1145/3805621.3807626openalex-snapshot
LLM-based AIOps via Log Prioritization in Air-Gapped Systems
inferred← citeshttps://doi.org/10.1145/3820756.3844919openalex-snapshot
When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads
inferred← citeshttps://doi.org/10.1145/3822455.3830309openalex-snapshot
On the Effectiveness of Large Language Models in Writing Alloy Formulas
inferred← citeshttps://doi.org/10.1145/3832783.3834474openalex-snapshot
Expanding Guard Reach: Online Learning-Driven Incremental Kernel Panic Diagnosis
inferred← citeshttps://doi.org/10.1145/3838599openalex-snapshot
SLOPE: Fine-Grained Log Parser Combining Syntax with LLM-Distilled Semantic
inferred← citeshttps://doi.org/10.1145/3849478openalex-snapshot
GHA-Agent: A Multi-Agent Framework for GitHub Actions Log Parsing
inferred← citeshttps://doi.org/10.2139/ssrn.5351870openalex-snapshot
Evaluating Prompt Engineering for Event Log Parsing with Large Language Models: A Comparative Study
inferred← citeshttps://doi.org/10.2139/ssrn.6818160openalex-snapshot
Weakly Supervised Named Entity Recognition Framework for Semantic Log Parsing
inferred← citeshttps://doi.org/10.23919/cycon65856.2025.11103720openalex-snapshot
Next Steps in Cyber Blue Team Automation—Leveraging the Power of LLMs
inferred← citeshttps://doi.org/10.3390/app15031666openalex-snapshot
Leveraging Large Language Models for Enhancing Safety in Maritime Operations
inferred← citeshttps://doi.org/10.3390/app16020811openalex-snapshot
DLogParser: An Efficient Dynamic Log Parser with Multiple Grouping Criteria
inferred← citeshttps://doi.org/10.3390/electronics14163304openalex-snapshot
A Data-Centric Framework for Implementing Artificial Intelligence in Smart Manufacturing
inferred← citeshttps://doi.org/10.3390/fi16100365openalex-snapshot
Large Language Models Meet Next-Generation Networking Technologies: A Review
inferred← citeshttps://doi.org/10.3390/info17090837openalex-snapshot
FlanBC: A Semantic-Structural Sequence Labeling Framework for Log Parsing
inferred← citeshttps://doi.org/10.3390/jcp5040095openalex-snapshot
AI-Augmented SOC: A Survey of LLMs and Agents for Security Automation
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