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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reinforcement Learning from Human Feedback · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2504.12501/</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/2504.12501/feed.xml" rel="self" type="application/rss+xml" /><item><title>Reinforcement Learning from Human Feedback — mentioned by dang</title><link>https://news.ycombinator.com/item?id=46926123</link><guid isPermaLink="false">urn:hackerpapers:mention:2504.12501:46926123</guid><pubDate>Sat, 07 Feb 2026 18:17:12 GMT</pubDate><description>&lt;p&gt;Thanks! We&amp;#x27;ve switched to that above from https://arxiv.org/abs/2504.12501, and put the latter in the toptext.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2504.12501/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Reinforcement Learning from Human Feedback — HN submission</title><link>https://news.ycombinator.com/item?id=46923463</link><guid isPermaLink="false">urn:hackerpapers:submission:2504.12501:46923463</guid><pubDate>Sat, 07 Feb 2026 12:53:39 GMT</pubDate><description>&lt;p&gt;Reinforcement Learning from Human Feedback&lt;/p&gt;&lt;p&gt;https://arxiv.org/abs/2504.12501&lt;/p&gt;&lt;p&gt;133 points; 5 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2504.12501/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
