CelerLog dynamically routes logs to statistical or LLM processors based on pattern density, delivering leading accuracy on 14 datasets while being 7.9-18.6x faster than pure LLM parsers and cutting token use by 80-94%.
A two-staged llm-based framework for ci/cd failure detection and remediation with industrial validation
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Systematic review of 145 papers on LLM-based log analysis, providing a unified taxonomy, common design patterns, evaluation practices, and challenges for deployment under drift and limited labels.
Survey mapping LLM applications in software quality assurance to established standards including ISO/IEC 12207, ISO 25010, CMMI, and TMM, with case studies, challenges, and future directions.
citing papers explorer
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CelerLog: Fast Log Parsing via Dynamic Routing
CelerLog dynamically routes logs to statistical or LLM processors based on pattern density, delivering leading accuracy on 14 datasets while being 7.9-18.6x faster than pure LLM parsers and cutting token use by 80-94%.
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LLM4Log: A Systematic Review of Large Language Model-based Log Analysis
Systematic review of 145 papers on LLM-based log analysis, providing a unified taxonomy, common design patterns, evaluation practices, and challenges for deployment under drift and limited labels.