Abstract: Automated program repair (APR) research has entered the era of large language models (LLM), and researchers have conducted several empirical studies to explore the repair capabilities of ...

Code intelligence project aims to leverage AI techniques to help software developers improve the productivity of the development process. We focus on building large-scale pre-trained models to ...

Abstract: Code summarization generation aims to automatically produce summaries from source code based on its analysis, providing information such as the design goals of code segments and relevant ...

Code retrieval has become essential for developers in modern software development, enabling efficient access to relevant code snippets and documentation. Unlike traditional text retrieval, which ...

Thank you for yor work. I see that unixcoder can predict token. How can I predict several tokens located in a different place? Suppose, I have the code: public ...

I am facing challenges in explaining how unixcoder/clone-detection/java model makes its predictions. I would appreciate any guidance or resources on how to perform model explainability for this type ...

Pre-trained models for programming languages have recently demonstrated great success on code intelligence. To support both code-related understanding and generation tasks, recent works attempt to pre ...