<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2311.10054/</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/2311.10054/feed.xml" rel="self" type="application/rss+xml" /><item><title>When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models — mentioned by joshuaisaact</title><link>https://news.ycombinator.com/item?id=46752125</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.10054:46752125</guid><pubDate>Sun, 25 Jan 2026 09:00:05 GMT</pubDate><description>&lt;p&gt;This has been pretty comprehensively disproven: https://arxiv.org/abs/2311.10054 Key findings: -Tested 162 personas across 6 types of interpersonal relationships and 8 domains of expertise, with 4 LLM families and 2,410 factual questions -Adding personas in system prompts does not improve model performance compared to the control setting where no persona is added -Automatically identifying the best persona is challenging, with predictions often performing no better than random selection -While adding a persona may lead to performance gains in certain settings, the effect of each persona can…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.10054/"&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>
