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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ADVICE: Answer-Dependent Verbalized Confidence Estimation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2510.10913/</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/2510.10913/feed.xml" rel="self" type="application/rss+xml" /><item><title>ADVICE: Answer-Dependent Verbalized Confidence Estimation — mentioned by red75prime</title><link>https://news.ycombinator.com/item?id=46159740</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.10913:46159740</guid><pubDate>Fri, 05 Dec 2025 11:12:51 GMT</pubDate><description>&lt;p&gt;Naturally, their &amp;quot;confidence&amp;quot; is represented as activations in layers close to output, so they might be able to use it. Research ([0], [1], [2], [3]) shows that results of prompting LLMs to express their confidence correlate with their accuracy. The models tend to be overconfident, but in my anecdotal experience the latest models are passably good at judging their own confidence. [0] https://ieeexplore.ieee.org/abstract/document/10832237 [1] https://arxiv.org/abs/2412.14737 [2] https://arxiv.org/abs/2509.25532 [3] https://arxiv.org/abs/2510.10913&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.10913/"&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>
