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A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
March 25, 2024, 4:47 a.m. | Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu
cs.CL updates on arXiv.org arxiv.org
Abstract: Neural Code Intelligence -- leveraging deep learning to understand, generate, and optimize code -- holds immense potential for transformative impacts on the whole society. Bridging the gap between Natural Language and Programming Language, this domain has drawn significant attention from researchers in both research communities over the past few years. This survey presents a systematic and chronological review of the advancements in code intelligence, encompassing over 50 representative models and their variants, more than 20 …
advances arxiv beyond code code intelligence cs.ai cs.cl cs.pl cs.se intelligence survey type
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