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.
Para Outro Idioma
do conteúdo original
arxiv.org
Principais Insights Extraídos De
by Di Wu,Wasi U... às arxiv.org 03-18-2024
https://arxiv.org/pdf/2403.10059.pdfPerguntas Mais Profundas