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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM Internal States Reveal Hallucination Risk Faced With a Query · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.03282/</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/2407.03282/feed.xml" rel="self" type="application/rss+xml" /><item><title>LLM Internal States Reveal Hallucination Risk Faced With a Query — mentioned by redlock</title><link>https://news.ycombinator.com/item?id=43058131</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.03282:43058131</guid><pubDate>Sat, 15 Feb 2025 12:50:10 GMT</pubDate><description>&lt;p&gt;Parent poster did say they are aware they don’t know but can’t express it. I am guessing he is referring to mechanistic interpretability research like these: https://arxiv.org/abs/2405.16908 https://arxiv.org/abs/2407.03282 You are claiming they are statistical parrots, which I don’t think the parent poster meant. The “statistical parrots” argument might have been compelling with GPT-3, but not with today’s models and the results of mechanistic interpretability research, which show internal representations and rudimentary world models.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.03282/"&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>
