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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2606.05976/</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/2606.05976/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models — mentioned by Topfi</title><link>https://news.ycombinator.com/item?id=49320898</link><guid isPermaLink="false">urn:hackerpapers:mention:2606.05976:49320898</guid><pubDate>Sun, 16 Aug 2026 15:20:46 GMT</pubDate><description>&lt;p&gt;&amp;gt; This is false. Perhaps you meant they have insufficient methods, or imperfect methods, but asserting none at all is facile and your links do not say that at all. I did say &amp;quot;no reliable internalised way to assess the accuracy of their output&amp;quot;, which is something very specific. If that Sonnet output is reasoning traces, there are many issues with using that as a source: For one, back and forth reasoning does often correlate with less, not more accurate overall outputs in evaluations and one example could never seriously be extrapolated to be considered &amp;quot;reliable&amp;quot;, i.e. happening consistently…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2606.05976/"&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>
