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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.17332/</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/2505.17332/feed.xml" rel="self" type="application/rss+xml" /><item><title>SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use — mentioned by guessmyname</title><link>https://news.ycombinator.com/item?id=50039302</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.17332:50039302</guid><pubDate>Sun, 11 Oct 2026 02:38:46 GMT</pubDate><description>&lt;p&gt;Yes, I found the paper for you: • https://arxiv.org/abs/2510.04950 — Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy • https://arxiv.org/abs/2402.14531 — Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance • https://arxiv.org/abs/2505.17332 — SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.17332/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
