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Found 2 papers, 2 papers with code
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
Our evaluation of 16 open-source systems shows that LLMParser achieves statistically significantly higher parsing accuracy than state-of-the-art parsers (a 96% average parsing accuracy).
Logram: Efficient Log Parsing Using n-Gram Dictionaries
As logs are usually very large in size, automated log analysis is needed to assist practitioners in their software operation and maintenance efforts.
Software Engineering
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