LogNEO applies PPO to GPT-Neo with a partial-credit exponentially decaying position-aware reward to reach F1 scores of 0.927/0.913/0.984 on HDFS/BGL/Thunderbird while running at production speeds.
LogLLaMA: Transformer-based log anomaly detection with LLaMA,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
NLLog rewrites log templates into WHO-WHAT-SEVERITY sentences, applies TF-IDF pooling and tree-ensemble classification with TreeSHAP back-projection, and reports better performance than two reproduced baselines on HDFS and BGL with low false positives on commodity hardware.
citing papers explorer
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NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting
NLLog rewrites log templates into WHO-WHAT-SEVERITY sentences, applies TF-IDF pooling and tree-ensemble classification with TreeSHAP back-projection, and reports better performance than two reproduced baselines on HDFS and BGL with low false positives on commodity hardware.