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Anomaly Detection on BGL Log

0.9532AUROCICAD-LLM
0.6888320.7574660.82610.894734Dec 1, 2025

Evaluation results

MethodLinks
ICAD-LLMAD Method Category=Task-Specific, Backbone=Qwen2.5-0.5B, Reference Set Size (K)=52025.120.9532
ICAD-LLMMethod Category=Task-Specific2025.120.9532
LogBertAD Method Category=Task-Specific2025.120.9366
LogBertMethod Category=Task-Specific2025.120.9366
ICAD-LLMAD Method Category=Universal, Backbone=Qwen2.5-0.5B, Reference Set Size (K)=52025.120.9279
ICAD-LLMMethod Category=Universal2025.120.9279
DeepLogAD Method Category=Task-Specific2025.120.9029
DeepLogMethod Category=Task-Specific2025.120.9029
ICAD-LLMModality=Log, Generalization (Unseen Datasets)=true2025.120.8965
ACRAD Method Category=Universal2025.120.8466
ACRMethod Category=Universal2025.120.8466
LogClusterAD Method Category=Task-Specific2025.120.8372
LogClusterMethod Category=Task-Specific2025.120.8372
LogAnomalyAD Method Category=Task-Specific2025.120.8235
LogAnomalyMethod Category=Task-Specific2025.120.8235
ACRModality=Log, Generalization (Unseen Datasets)=true2025.120.7939
UniADAD Method Category=Universal2025.120.7724
UniADMethod Category=Universal2025.120.7724
NeuTraL ADAD Method Category=Universal2025.120.7539
NeuTraL ADMethod Category=Universal2025.120.7539
UniADModality=Log, Generalization (Unseen Datasets)=true2025.120.7176
NeuTralADModality=Log, Generalization (Unseen Datasets)=true2025.120.699