May 6, 2024, 4:43 a.m. | Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.02213v1 Announce Type: cross
Abstract: Automatic programming has seen increasing popularity due to the emergence of tools like GitHub Copilot which rely on Large Language Models (LLMs). At the same time, automatically generated code faces challenges during deployment due to concerns around quality and trust. In this article, we study automated coding in a general sense and study the concerns around code quality, security and related issues of programmer responsibility. These are key issues for organizations while deciding on the …

abstract article arxiv automated beyond challenges code coding concerns copilot cs.ai cs.lg cs.se deployment emergence generated github language language models large language large language models llms programming quality study tools trust type

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