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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2510.04950/</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/2510.04950/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by guessmyname</title><link>https://news.ycombinator.com/item?id=50039302</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:50039302</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/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by pelagicAustral</title><link>https://news.ycombinator.com/item?id=50017349</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:50017349</guid><pubDate>Fri, 09 Oct 2026 07:43:34 GMT</pubDate><description>&lt;p&gt;Somewhat related: Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy &amp;gt; Contrary to expectations, impolite prompts consistently outperformed polite ones, with accuracy ranging from 80.8% for Very Polite prompts to 84.8% for Very Rude prompts. https://arxiv.org/abs/2510.04950&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by xolox</title><link>https://news.ycombinator.com/item?id=49492927</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:49492927</guid><pubDate>Sat, 29 Aug 2026 20:09:50 GMT</pubDate><description>&lt;p&gt;&amp;gt; Yes, but I still prefer a nice tone. Like why should I change my manners just because it has no feelings? If anything the statistic predicts a friendlier answer when I say &amp;quot;please&amp;quot;. Like you I generally prefer polite phrasings over rude ones, and I&amp;#x27;m certainly not going to tell you how you should communicate to LLM models, however it&amp;#x27;s interesting to note that being somewhat rude and to the point seems to have some objective advantages, see for example: Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) https://arxiv.org/abs/2510.04950 Understanding…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by dcanelhas</title><link>https://news.ycombinator.com/item?id=49492792</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:49492792</guid><pubDate>Sat, 29 Aug 2026 19:52:24 GMT</pubDate><description>&lt;p&gt;On the &amp;quot;Stop saying please&amp;quot; part. I personally like to use polite language, as an exercise. According to this one paper on arxiv, toxic behavior gets better accuracy https://arxiv.org/pdf/2510.04950 It was published a while ago. But I wonder if it still holds true today.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by sebastiennight</title><link>https://news.ycombinator.com/item?id=49380415</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:49380415</guid><pubDate>Thu, 20 Aug 2026 21:18:54 GMT</pubDate><description>&lt;p&gt;&amp;gt; Terseness doesn&amp;#x27;t offend the statistical model, but giving platitudes may color its output My understanding of the state of current research is that the impact of tone/politeness on performance is highly model-dependent, and language dependent as well. See `No Universal Courtesy` (April 2026) https://arxiv.org/html/2604.16275v1 While polite prompts enhance the average response quality by upto 11% and impolite tones worsen it, these effects are neither consistent nor universal across languages and models. English is best served by courtesy or direct, Hindi by deferential and indirect and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by wglb</title><link>https://news.ycombinator.com/item?id=49097158</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:49097158</guid><pubDate>Wed, 29 Jul 2026 13:20:24 GMT</pubDate><description>&lt;p&gt;In fact there has: https://arxiv.org/abs/2510.04950: Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by delichon</title><link>https://news.ycombinator.com/item?id=48876694</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:48876694</guid><pubDate>Sat, 11 Jul 2026 23:05:39 GMT</pubDate><description>&lt;p&gt;Contrary to expectations, impolite prompts consistently outperformed polite ones, with accuracy ranging from 80.8% for Very Polite prompts to 84.8% for Very Rude prompts. -- https://arxiv.org/abs/2510.04950&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by anygivnthursday</title><link>https://news.ycombinator.com/item?id=48557415</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:48557415</guid><pubDate>Tue, 16 Jun 2026 16:05:08 GMT</pubDate><description>&lt;p&gt;And there are also papers that tell thats effective https://arxiv.org/pdf/2510.04950&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by Xmd5a</title><link>https://news.ycombinator.com/item?id=48467121</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:48467121</guid><pubDate>Tue, 09 Jun 2026 20:20:49 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2510.04950 &amp;gt; impolite prompts consistently outperformed polite ones, with accuracy ranging from 80.8% for Very Polite prompts to 84.8% for Very Rude prompts.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — HN submission</title><link>https://news.ycombinator.com/item?id=48276429</link><guid isPermaLink="false">urn:hackerpapers:submission:2510.04950:48276429</guid><pubDate>Tue, 26 May 2026 07:43:22 GMT</pubDate><description>&lt;p&gt;Investigating how prompt politeness affects LLM accuracy (2025)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;156 points; 208 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — mentioned by alentred</title><link>https://news.ycombinator.com/item?id=48276287</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.04950:48276287</guid><pubDate>Tue, 26 May 2026 07:25:20 GMT</pubDate><description>&lt;p&gt;Reminds me of this study: https://arxiv.org/pdf/2510.04950 . It demonstrates that being &amp;quot;rude&amp;quot; or &amp;quot;very rude&amp;quot; increases the accuracy of the results. A dubious but very fun read. The prompts in Table 1 (top of page 3) are awesome. I am sure they tried other prompts, but didn&amp;#x27;t include them to the paper.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — HN submission</title><link>https://news.ycombinator.com/item?id=46556726</link><guid isPermaLink="false">urn:hackerpapers:submission:2510.04950:46556726</guid><pubDate>Fri, 09 Jan 2026 17:54:09 GMT</pubDate><description>&lt;p&gt;Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — HN submission</title><link>https://news.ycombinator.com/item?id=45772418</link><guid isPermaLink="false">urn:hackerpapers:submission:2510.04950:45772418</guid><pubDate>Fri, 31 Oct 2025 14:36:48 GMT</pubDate><description>&lt;p&gt;Investigating How Prompt Politeness Affects LLM Accuracy&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) — HN submission</title><link>https://news.ycombinator.com/item?id=45545406</link><guid isPermaLink="false">urn:hackerpapers:submission:2510.04950:45545406</guid><pubDate>Sat, 11 Oct 2025 00:46:19 GMT</pubDate><description>&lt;p&gt;Impolite LLM prompts consistently outperform polite ones&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2510.04950/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
