AnomalyGen synthesizes realistic labeled log sequences from source code via Log-Oriented Control Flow Graphs and LLM CoT verification to boost F1 scores of 12 anomaly detection models on HDFS and Zookeeper.
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Scoping review of 30 papers finds that vertical methods for linear and logistic regression on partitioned health data rarely achieve equivalence to pooled analyses while also being communication-efficient and verifiably private.
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AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
AnomalyGen synthesizes realistic labeled log sequences from source code via Log-Oriented Control Flow Graphs and LLM CoT verification to boost F1 scores of 12 anomaly detection models on HDFS and Zookeeper.
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Multi-Site Health Research Integrating Complementary Data Sources: A Scoping Review of Statistical Inference Methods for Vertically Partitioned Data
Scoping review of 30 papers finds that vertical methods for linear and logistic regression on partitioned health data rarely achieve equivalence to pooled analyses while also being communication-efficient and verifiably private.
- Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions