Code Corpus

Code corpora, massive collections of source code, are central to advancing code understanding and generation through machine learning. Current research focuses on developing effective code representations, often using graph-based structures or contrastive learning methods to capture semantic relationships within large codebases, and employing large language models (LLMs) for tasks like code generation, search, and refactoring. These efforts aim to improve software development efficiency and reliability by enabling automated code analysis, synthesis, and comprehension, impacting both research in software engineering and the practical application of AI in software development.