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Oct, 2023
通过集群间建模进行代码生成的神经排序器
Neural Rankers for Code Generation via Inter-Cluster Modeling
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Hung Quoc To, Minh Huynh Nguyen, Nghi D. Q. Bui
TL;DR
该研究介绍了一种名为SRank的新型重排序策略,通过量化聚类之间的功能重叠,为代码生成提供了更好的排名策略,实验结果表明,该方法在pass@1得分上取得了显著的结果,与现有的排名方法相比,显示出优越性和鲁棒性。
Abstract
code large language models
(CodeLLMs) have ushered in a new era of
code generation
advancements. However, selecting the best solutions from among all possible CodeLLM solutions remains a challenge. Previous metho
→