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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2605.29420/</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/2605.29420/feed.xml" rel="self" type="application/rss+xml" /><item><title>When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs — mentioned by not_a_bot_4sho</title><link>https://news.ycombinator.com/item?id=48511524</link><guid isPermaLink="false">urn:hackerpapers:mention:2605.29420:48511524</guid><pubDate>Sat, 13 Jun 2026 01:38:55 GMT</pubDate><description>&lt;p&gt;Back with some papers. (Apologies in advance; I typically don&amp;#x27;t edit/format comments much here, please bear with me.) Notable papers describing performance improvements with prescribed roles and personas: - ExpertPrompting: Instructing Large Language Models to be Distinguished Experts (2023) https://arxiv.org/abs/2305.14688 (if you&amp;#x27;re going to only read one paper here, maybe read this one but know there has been a lot of follow up with more modern models.) - Expert Personas Improve LLM Alignment but Damage Accuracy (2026) https://arxiv.org/abs/2603.18507 - When Does Persona Prompting Actually…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2605.29420/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
