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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.02725/</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/2410.02725/feed.xml" rel="self" type="application/rss+xml" /><item><title>Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation — mentioned by sanxiyn</title><link>https://news.ycombinator.com/item?id=42960495</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.02725:42960495</guid><pubDate>Thu, 06 Feb 2025 09:01:51 GMT</pubDate><description>&lt;p&gt;LLMs actually do have such hunch, they just don&amp;#x27;t utilize it. You can literally ask them &amp;quot;Would you do better if you started over?&amp;quot; and start over if answer is yes. This works. https://arxiv.org/abs/2410.02725&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.02725/"&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>
