3 citations · 5 across the 7 of their papers we have counts for
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cs.SE2026
The Illusion of Safety: Multi-Tier Verification of AI vs. Human C++ Code
Saif Mahmud, Fadul Sikder, Yuede Ji +2
As large language models (LLMs) are increasingly deployed for systems programming, their ability to generate secure C++ code, where a single memory-safety failure creates an exploi…
cs.SE2024★ 2 cited
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
Hanzhuo Tan, Qi Luo, Ling Jiang +4
Automated code completion, aiming at generating subsequent tokens from unfinished code, has been significantly benefited from recent progress in pre-trained Large Language Models (…
cs.SE2024★ 3 cited
How Far Can We Go with Practical Function-Level Program Repair?
Jiahong Xiang, Xiaoyang Xu, Fanchu Kong +4
Recently, multiple Automated Program Repair (APR) techniques based on Large Language Models (LLMs) have been proposed to enhance the repair performance. While these techniques main…