This repository curates a comprehensive collection of academic papers on applying Large Language Models to software vulnerability detection. It organizes research across multiple approaches including function-level, repository-level, agentic, and smart-contract detection methods. The collection also tracks relevant datasets, benchmarks, and survey papers for researchers working in this intersection of AI and code security.