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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multitask-based Evaluation of Open-Source LLM on Software Vulnerability · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.02056/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2404.02056/feed.xml" rel="self" type="application/rss+xml" /><item><title>Multitask-based Evaluation of Open-Source LLM on Software Vulnerability — mentioned by SubiculumCode</title><link>https://news.ycombinator.com/item?id=40701401</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.02056:40701401</guid><pubDate>Mon, 17 Jun 2024 00:59:43 GMT</pubDate><description>&lt;p&gt;Using machine learning, including LLMs, to detect and mitigate malicious code is of interest to a whole lot of smarter people than me, really suggests your flippant rejection of their potential is premature. https://arxiv.org/abs/2405.17238 https://arxiv.org/abs/2404.02056 https://arxiv.org/abs/2404.19715 https://www.sciencedirect.com/science/article/pii/S266638992...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.02056/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
