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Oct, 2024
通过检索增强语言模型构建编码助手
Building A Coding Assistant via the Retrieval-Augmented Language Model
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Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang...
TL;DR
本研究针对现有编码助手在知识获取上的不足,提出了一种新型编码助手CONAN,结合了代码结构感知检索器和基于双视图代码表示的检索增强生成模型。实验表明,CONAN在多种代码生成任务上表现优越,具有改善大语言模型的有效性和提取必要信息的潜力。
Abstract
Pretrained
Language Models
have shown strong effectiveness in code-related tasks, such as
Code Retrieval
, code generation, code summarization, and code completion tasks. In this paper, we propose COde assistaNt v
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