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Evaluating Prompt Engineering for Event Log Parsing with Large Language Models: A Comparative Study

https://doi.org/10.2139/ssrn.5351870
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10207-025-01018-yopenalex-snapshot
Using large language models for template detection from security event logs
inferredcites →https://doi.org/10.1016/j.taml.2025.100583openalex-snapshot
DeepSeek vs. ChatGPT vs. Claude: A comparative study for scientific computing and scientific machine learning tasks
inferredcites →https://doi.org/10.1038/s41746-024-01029-4openalex-snapshot
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs
inferredcites →https://doi.org/10.1109/icsme58944.2024.00047openalex-snapshot
The Effectiveness of Compact Fine-Tuned LLMs in Log Parsing
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/icws62655.2024.00106openalex-snapshot
LLM-powered Zero-shot Online Log Parsing
inferredcites →https://doi.org/10.1109/icws62655.2024.00159openalex-snapshot
LogGenius: An Unsupervised Log Parsing Framework with Zero-shot Prompt Engineering
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/issre62328.2024.00016openalex-snapshot
Self-Evolutionary Group-wise Log Parsing Based on Large Language Model
inferredcites →https://doi.org/10.1109/issrew63542.2024.00055openalex-snapshot
Reliable Online Log Parsing using Large Language Models with Retrieval-Augmented Generation
inferredcites →https://doi.org/10.1109/milcom.2016.7795458openalex-snapshot
Event log analysis with the LogCluster tool
inferredcites →https://doi.org/10.1109/tr.2023.3340020openalex-snapshot
Revisiting Log Parsing: The Present, the Future, and the Uncertainties
inferredcites →https://doi.org/10.1109/twc.2025.3544333openalex-snapshot
Resource Management for Low-Latency Cooperative Fine-Tuning of Foundation Models at the Network Edge
inferredcites →https://doi.org/10.1145/3485447.3511993openalex-snapshot
UniParser: A Unified Log Parser for Heterogeneous Log Data
inferredcites →https://doi.org/10.1145/3540250.3558947openalex-snapshot
Investigating and improving log parsing in practice
inferredcites →https://doi.org/10.1145/3611643.3616355openalex-snapshot
Log Parsing with Generalization Ability under New Log Types
inferredcites →https://doi.org/10.1145/3632620.3671097openalex-snapshot
Using Benchmarking Infrastructure to Evaluate LLM Performance on CS Concept Inventories: Challenges, Opportunities, and Critiques
inferredcites →https://doi.org/10.1145/3637528.3671810openalex-snapshot
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
inferredcites →https://doi.org/10.1145/3643733openalex-snapshot
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache
inferredcites →https://doi.org/10.1145/3672608.3707883openalex-snapshot
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
inferredcites →https://doi.org/10.1145/3674805.3686684openalex-snapshot
A Comparative Study on Large Language Models for Log Parsing
inferredcites →https://doi.org/10.17613/hdt0-vq67openalex-snapshot
A Comprehensive Analysis of GPT Applications in Third-Party Vendor Security Enhancement
inferredcites →https://doi.org/10.18653/v1/2025.findings-naacl.28openalex-snapshot
LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules
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