5 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision
Manisha Mukherjee, Vincent J. Hellendoorn
Large Language Models (LLMs) are increasingly deployed for code generation in high-stakes software development, yet their limited transparency in security reasoning and brittleness…
Understanding and supporting how developers prompt for LLM-powered code editing in practice
Daye Nam, Ahmed Omran, Ambar Murillo +6
Large Language Models (LLMs) are rapidly transforming software engineering, with coding assistants embedded in an IDE becoming increasingly prevalent. While research has focused on…
An Exploratory Study of ML Sketches and Visual Code Assistants
Luís F. Gomes, Vincent J. Hellendoorn, Jonathan Aldrich +1
This paper explores the integration of Visual Code Assistants in Integrated Development Environments (IDEs). In Software Engineering, whiteboard sketching is often the initial step…
Using an LLM to Help With Code Understanding
Daye Nam, Andrew Macvean, Vincent Hellendoorn +2
Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard t…