CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion
Sheng Zhang, Yifan Ding, Shuquan Lian, Shun Song, Hui Li
机构
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Key Laboratory of Multimedia Trusted Perception and Efficient Computing Ministry of Education of China(教育部多媒体可信感知与高效计算重点实验室)
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Xiamen University(厦门大学)
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Ant Group(蚂蚁集团)
机构
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Guangdong Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University(广东智能交通系统重点实验室,智能系统工程学院,中山大学深圳校区)
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University of Amsterdam(阿姆斯特丹大学)
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Aarhus University(阿arhus大学)
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Beijing Institute of Artificial Intelligence, Beijing University of Technology(北京人工智能研究院,北京工业大学)
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School of Information and Engineering, Chang’an University(信息工程学院,长安大学)
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Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University(交通工程教育部长实验室,同济大学)
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Key Laboratory of Intelligent Transportation Technology and System, School of Transportation Science and Engineering, Beihang University(智能交通技术与系统重点实验室,交通运输科学与工程学院,北航)
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Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University(江苏城市ITS重点实验室,江苏省现代城市交通技术协同创新中心,交通学院,东南大学)
专题命中
仓库级理解
:repository(abstract);分类 cs.AI、cs.LG
CommentsAccepted by Expert Systems with Applications