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Source codes for ACL 2022 paper "ReACC: A Retrieval-Augmented Code Completion Framework" ReACC combines a source code retiever and an auto-regresstive language model for programming languages.

Mar 10, 2025 · ReACC: A Retrieval-Augmented Code Completion Framework. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages 6227–6240, Dublin, Ireland.

Mar 15, 2022 · View a PDF of the paper titled ReACC: A Retrieval-Augmented Code Completion Framework, by Shuai Lu and 5 other authors View PDF Abstract: Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development.

Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development. Recent work has proved that statistical language modeling with transformers can greatly improve the performance in the code completion task via learning from large-scale source code datasets. However, current approaches focus …

We evaluate our ReACC framework on two benchmark datasets CodeXGLUE (Lu et al., 2021) and CodeNet (Puri et al.,2021), in Python and Java programming languages. ReACC achieves a state-of-the-art performance on both datasets. The experimental results demonstrate that external source code retrieved by our retriever is

Mar 11, 2024 · We propose ReACC, a retrieval-augmented code completion framework that utilizes “external” context for the code completion task by retrieving semantically and lexically similar codes from existing codebase.

Apr 3, 2023 · reacc 是一种基于检索相似代码的补全模型。 它的基本思想是将未完成的代码作为输入，从一个大的代码库中检索出与当前代码在语义上相似的代码 ...

May 22, 2024 · ReACC包含两个核心的组件： 用于代码-代码检索的双编码器模型（dual-encoder model） 作为代码补全生成器的自回归语言模型。ReACC采用阶段性训练策略（Stage-Wise Training Strategy）

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