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cs.SE2024
ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models
Chengran Yang, Hong Jin Kang, Jieke Shi +1
CodeLLMs have demonstrated remarkable advancements in software engineering tasks. However, while these models can generate functionally correct code, they often produce code that i…
cs.SE2024★ 2 cited
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
Xin-Cheng Wen, Xinchen Wang, Yujia Chen +3
Deep Learning (DL)-based methods have proven to be effective for software vulnerability detection, with a potential for substantial productivity enhancements for detecting vulnerab…