<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SE on Hello, I am Ruk1a.</title><link>https://rukiaovo.github.io/tags/se/</link><description>Recent content in SE on Hello, I am Ruk1a.</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><copyright>Copyright © 2026 Hello, I am Ruk1a.</copyright><lastBuildDate>Wed, 01 Jul 2026 22:12:00 +0800</lastBuildDate><atom:link href="https://rukiaovo.github.io/tags/se/index.xml" rel="self" type="application/rss+xml"/><item><title>Extracting Conceptual Knowledge to Locate Software Issues</title><link>https://rukiaovo.github.io/posts/2026-07-01-extracting-conceptual-knowledge-to-locate-software-issues/</link><pubDate>Wed, 01 Jul 2026 22:12:00 +0800</pubDate><guid>https://rukiaovo.github.io/posts/2026-07-01-extracting-conceptual-knowledge-to-locate-software-issues/</guid><description>&lt;p&gt;论文链接：https://arxiv.org/abs/2509.21427&lt;/p&gt;

&lt;h2 class="relative group"&gt;论文主旨
 &lt;div id="论文主旨" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e8%ae%ba%e6%96%87%e4%b8%bb%e6%97%a8" aria-label="锚点"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;主要研究如何增强LLM的根据bug/issue定位相关文件或代码的能力，提出了一种类似GraphRAG思想的issue localization增强方案。&lt;/p&gt;</description></item></channel></rss>