Recent advancements in retrieval-augmented generation have led to a new era in repository-level code completion. However, the indiscriminate use of retrieval poses challenges in efficiency and robustness. This paper introduces a selective RAG framework powered by REPOFORMER, improving performance while reducing latency. Extensive evaluations demonstrate the effectiveness of this approach across various benchmarks and programming languages.
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arxiv.org
Wichtige Erkenntnisse aus
by Di Wu,Wasi U... um arxiv.org 03-18-2024
https://arxiv.org/pdf/2403.10059.pdfTiefere Fragen