1 citations · 2 across the 3 of their papers we have counts for
3 papers
Human or LLM? A Comparative Study on Accessible Code Generation Capability
Hyunjae Suh, Mahan Tafreshipour, Sam Malek +1
Web accessibility is essential for inclusive digital experiences, yet the accessibility of LLM-generated code remains underexplored. This paper presents an empirical study comparin…
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
Mahan Tafreshipour, Aaron Imani, Eric Huang +3
The adoption of Large Language Models (LLMs) is reshaping software development as developers integrate these LLMs into their applications. In such applications, prompts serve as th…
An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?
Hyunjae Suh, Mahan Tafreshipour, Jiawei Li +2
Artificial Intelligence (AI) techniques, especially Large Language Models (LLMs), have started gaining popularity among researchers and software developers for generating source co…