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cs.SE2026
Toward Functional and Non-Functional Evaluation of Application-Level Code Generation
Ruwei Pan, Yakun Zhang, Qingyuan Liang +4
Large language models (LLMs) have achieved strong performance on code generation. However, most prior evaluations focus on snippet-level outputs, such as function generation or rep…
cs.SE2024
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
Zexing Xu, Zhuang Luo, Yichuan Li +2
In the realm of software development, providing accurate and personalized code explanations is crucial for both technical professionals and business stakeholders. Technical profess…