LogLLM combines BERT message embeddings with Llama sequence classification via a learned projector and regex preprocessing, reporting higher F1 scores than nine baselines on four log datasets.
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LogLLM: Log-based Anomaly Detection Using Large Language Models
LogLLM combines BERT message embeddings with Llama sequence classification via a learned projector and regex preprocessing, reporting higher F1 scores than nine baselines on four log datasets.