AI RESEARCH
SCOPE: Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration
arXiv CS.CL
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ArXi:2603.27247v1 Announce Type: new Log parsing is a critical step for automated log analysis in complex systems. Traditional heuristic-based methods offer high efficiency but are limited in accuracy due to overlooking semantic context. In contrast, recent LLM-based parsers improve accuracy via se mantic understanding but incur high latency from frequent model calls. To address this, we propose SCOPE, the first self-correcting online log parsing method that integrates the strengths of both heuristic and LLM-based paradigms. SCOPE