3 citations · 8 across the 10 of their papers we have counts for
3 papers · 1 filter
Out of style: Misadventures with LLMs and code style transfer
Karl Munson, Chih-Kai Ting, Serenity Wade +4
Like text, programs have styles, and certain programming styles are more desirable than others for program readability, maintainability, and performance. Code style transfer, howev…
Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle (Extended Version)
Julian Dolby, Jason Tsay, Martin Hirzel
Machine learning in practice often involves complex pipelines for data cleansing, feature engineering, preprocessing, and prediction. These pipelines are composed of operators, whi…
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchir Puri, David S. Kung, Geert Janssen +14
Over the last several decades, software has been woven into the fabric of every aspect of our society. As software development surges and code infrastructure of enterprise applicat…