Large language models for cyber security: A systematic literature review
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
Everything of thoughts: Defying the law of penrose triangle for thought generation
Recent advancements in Large Language Models (LLMs) have revolutionized decision-
making by breaking down complex problems into more manageable language sequences …
making by breaking down complex problems into more manageable language sequences …
Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection
Anomaly detection in multivariate time series data is of paramount importance for ensuring
the efficient operation of large-scale systems across diverse domains. However, accurately …
the efficient operation of large-scale systems across diverse domains. However, accurately …
Xpert: Empowering incident management with query recommendations via large language models
Large-scale cloud systems play a pivotal role in modern IT infrastructure. However, incidents
occurring within these systems can lead to service disruptions and adversely affect user …
occurring within these systems can lead to service disruptions and adversely affect user …
Llmparser: An exploratory study on using large language models for log parsing
Logs are important in modern software development with runtime information. Log parsing is
the first step in many log-based analyses, that involve extracting structured information from …
the first step in many log-based analyses, that involve extracting structured information from …
Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models
Large language model (LLM) applications in cloud root cause analysis (RCA) have been
actively explored recently. However, current methods are still reliant on manual workflow …
actively explored recently. However, current methods are still reliant on manual workflow …
Face it yourselves: An llm-based two-stage strategy to localize configuration errors via logs
Configurable software systems are prone to configuration errors, resulting in significant
losses to companies. However, diagnosing these errors is challenging due to the vast and …
losses to companies. However, diagnosing these errors is challenging due to the vast and …
Configuration validation with large language models
Misconfigurations are major causes of software failures. Existing practices rely on developer-
written rules or test cases to validate configurations, which are expensive. Machine learning …
written rules or test cases to validate configurations, which are expensive. Machine learning …
Ufo: A ui-focused agent for windows os interaction
We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to
applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a …
applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a …
Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis
Modern microservice systems have gained widespread adoption due to their high
scalability, flexibility, and extensibility. However, the characteristics of independent …
scalability, flexibility, and extensibility. However, the characteristics of independent …