Enhancing the Non-Functional Quality Compliance of LLM-Generated Code through Quality-Aware Preference Learning.

arXiv:2503.09020v5 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been widely adopted in commercial code completion engines, significantly enhancing coding efficiency and productivity. However, even functionally correct LLM-generated