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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.15993/</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/2404.15993/feed.xml" rel="self" type="application/rss+xml" /><item><title>Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach — mentioned by viraptor</title><link>https://news.ycombinator.com/item?id=42525946</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.15993:42525946</guid><pubDate>Fri, 27 Dec 2024 20:55:08 GMT</pubDate><description>&lt;p&gt;&amp;quot;It doesn&amp;#x27;t&amp;quot; depends on specific implementation. &amp;quot;It can&amp;#x27;t&amp;quot; is wrong. https://arxiv.org/abs/2404.15993 &amp;quot;Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach (...) our method is easy to implement and adaptable to different levels of model accessibility including black box, grey box, and white box. &amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.15993/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
