7 citations · 8 across the 2 of their papers we have counts for
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cs.SE2023
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
Federico Cassano, Luisa Li, Akul Sethi +8
A significant amount of research is focused on developing and evaluating large language models for a variety of code synthesis tasks. These include synthesizing code from natural l…
cs.SE2023★ 1 cited
Type Prediction With Program Decomposition and Fill-in-the-Type Training
Federico Cassano, Ming-Ho Yee, Noah Shinn +2
TypeScript and Python are two programming languages that support optional type annotations, which are useful but tedious to introduce and maintain. This has motivated automated typ…