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cs.SE2024
Practitioners' Expectations on Log Anomaly Detection
Xiaoxue Ma, Yishu Li, Jacky Keung +5
Log anomaly detection has become a common practice for software engineers to analyze software system behavior. Despite significant research efforts in log anomaly detection over th…
cs.CV2024
HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in Coding Tasks
Fengji Zhang, Linquan Wu, Huiyu Bai +6
Understanding and reasoning over diagrams is a fundamental aspect of human intelligence. While Large Multimodal Models (LMMs) have demonstrated impressive capabilities across vario…
cs.SE2024
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
Xiaoxue Ma, Huiqi Zou, Pinjia He +4
Numerous Deep Learning (DL)-based approaches have gained attention in software Log Anomaly Detection (LAD), yet class imbalance in training data remains a challenge, with anomalies…