1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.SE2026
A Study on the Impact of Natural Language Differences in Prompts on Automatic Code Generation Using LLMs
Haruka Tokumasu, Masanari Kondo, Alexander Serebrenik +5
Large Language Models (LLMs) have demonstrated remarkable performance in automatic code generation tasks, thereby encouraging new research in this area. Although numerous studies h…
cs.SE2024★ 1 cited
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot
Kei Koyanagi, Dong Wang, Kotaro Noguchi +4
GitHub Copilot is an AI-enabled tool that automates program synthesis. It has gained significant attention since its launch in 2021. Recent studies have extensively examined Copilo…