LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code
Abstract: This paper presents a multi-agent, AI-driven strategy employing Large Language Models (LLMs), retrieval-augmented generation, and a continuously updated knowledge base for the detection and ...
Abstract: Dual-band infrared small-target detection not only offers richer information than single-band methods but also poses two key challenges: modeling weak targets in cluttered scenes and ...
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