2 papers
cs.CR2025
Large Language Models Cannot Reliably Detect Vulnerabilities in JavaScript: The First Systematic Benchmark and Evaluation
Qingyuan Fei, Xin Liu, Song Li +4
Researchers have proposed numerous methods to detect vulnerabilities in JavaScript, especially those assisted by Large Language Models (LLMs). However, the actual capability of LLM…
cs.DC2025
Research on fault diagnosis and root cause analysis based on full stack observability
Jian Hou
With the rapid development of cloud computing and ultra-large-scale data centers, the scale and complexity of systems have increased significantly, leading to frequent faults that…