LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models

Log parsing is a critical step that transforms unstructured log data into structured formats, facilitating subsequent log-based analysis. Traditional syntax-based log parsers are efficient and effective, but they often experience decreased accuracy when processing logs that deviate from the predefin...

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Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 924 - 936
Hauptverfasser:	Ma, Zeyang, Kim, Dong Jae, Chen, Tse-Hsun Peter
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.04.2025
Schlagworte:	Accuracy Costs large language model Large language models log analysis log parsing Memory management Privacy Retrieval augmented generation Software engineering Solid modeling Syntactics Transforms
ISSN:	1558-1225
Online-Zugang:	Volltext
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