3 citations · 3 across the 2 of their papers we have counts for
3 papers
Large Scale Generation of Labeled Type Data for Python
Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
Recently, dynamically typed languages, such as Python, have gained unprecedented popularity. Although these languages alleviate the need for mandatory type annotations, types still…
Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding
Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker +1
Code understanding is an increasingly important application of Artificial Intelligence. A fundamental aspect of understanding code is understanding text about code, e.g., documenta…
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…