---
id: 20260311-T0-16
title: "分层嵌入融合提升代码生成质量"
title_en: "HEF Improves Code Generation Quality"
url: https://ai.daily.yangsir.net/daily/20260311-T0-16
issue_date: 2026-03-11
publish_date: 2026-03-10T04:00:00.000Z
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2603.06593
---

# 分层嵌入融合提升代码生成质量

arXiv论文提出分层嵌入融合(HEF)方法，优化检索增强型代码生成。该方法将大段代码检索结果分两级处理：第一级进行语义聚类，第二级进行细粒度特征融合。相比直接使用长上下文，HEF将推理速度提升2.3倍，生成代码通过率从72%提高到89%。在GitHub开源代码库测试中，HEF减少65%的无关代码片段干扰，特别适用于大型企业级项目代码生成。

## English Version

**HEF Improves Code Generation Quality**

arXiv paper proposes Hierarchical Embedding Fusion (HEF) to optimize retrieval-augmented code generation. The method processes retrieved code in two stages: semantic clustering followed by fine-grained feature fusion. Compared to direct long-context use, HEF boosts inference speed by 2.3x and increases generated code pass rates from 72% to 89%. GitHub testing shows HEF reduces irrelevant code interference by 65%, particularly suitable for large enterprise project code generation.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2603.06593)

**详情页**：https://ai.daily.yangsir.net/daily/20260311-T0-16

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