Strict regex parsing of LLM security log outputs introduces systematic errors that can make functional models appear non-functional, with a 76-point accuracy gap recovered by fuzzy parsing.
LoRA: Low-Rank Adaptation of Large Language Models
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When the Ruler is Broken: Parsing-Induced Suppression in LLM-Based Security Log Evaluation
Strict regex parsing of LLM security log outputs introduces systematic errors that can make functional models appear non-functional, with a 76-point accuracy gap recovered by fuzzy parsing.