LLMs have had a significant impact in the fields of code generation and comprehension. These models, trained on extensive code datasets such as GitHub, excel in tasks like text-to-code conversion, ...

In our work we trained several T5 models to automate three code-review tasks, each one using a specific dataset. Here we provide everything needed to replicate our experiments. We also provide all the ...

The t5 library serves primarily as code for reproducing the experiments in Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. In the paper, we demonstrate how to ...

Creating large codes for software programs can sometimes be a time consuming and tedious task. Developers today are looking for methods and tools that can aid coding and improve turnaround times and ...

Abstract: Source code documentation plays a significant role in the software development lifecycle, substantially improving the comprehensibility and maintainability of software projects. Despite its ...