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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Measuring Implicit Bias in Explicitly Unbiased Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.04105/</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/2402.04105/feed.xml" rel="self" type="application/rss+xml" /><item><title>Measuring Implicit Bias in Explicitly Unbiased Large Language Models — mentioned by simonw</title><link>https://news.ycombinator.com/item?id=43665433</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.04105:43665433</guid><pubDate>Sat, 12 Apr 2025 15:51:35 GMT</pubDate><description>&lt;p&gt;It looks like that&amp;#x27;s the data behind figure 3.7.4 - &amp;quot;LLMs implicit bias across stereotypes in four social categories&amp;quot; - on page 199 of the PDF: https://hai-production.s3.amazonaws.com/files/hai_ai_index_r... They released a separate PDF of just that figure along with the CSV data: https://static.simonwillison.net/static/2025/fig_3.7.4.pdf The figure is explained a bit on page 198. It relates to this paper: https://arxiv.org/abs/2402.04105 I don&amp;#x27;t think they released a data dictionary explaining the different columns though.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.04105/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
