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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neuron-based Personality Trait Induction in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.12327/</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/2410.12327/feed.xml" rel="self" type="application/rss+xml" /><item><title>Neuron-based Personality Trait Induction in Large Language Models — mentioned by ashdksnndck</title><link>https://news.ycombinator.com/item?id=44274275</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.12327:44274275</guid><pubDate>Sat, 14 Jun 2025 04:54:14 GMT</pubDate><description>&lt;p&gt;There is already research in the literature showing that LLMs have neurons that model the gender [1], personality [2], ideology [3], and historic era [4] of the author. There’s also evidence that they model the distinction between the beliefs of the author and other characters, which has been summarized as “theory of mind” [5]. And we have only scratched the surface, with most research using small open-weight models that lag behind frontier model capabilities. [1] Z. Yu &amp;amp; S. Ananiadou, “Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing,” arXiv:2501.14457…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.12327/"&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>
