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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2503.16419/</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/2503.16419/feed.xml" rel="self" type="application/rss+xml" /><item><title>Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models — mentioned by observationist</title><link>https://news.ycombinator.com/item?id=47129601</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.16419:47129601</guid><pubDate>Mon, 23 Feb 2026 22:01:29 GMT</pubDate><description>&lt;p&gt;This is an active research topic - two papers on this have come out over the last few days, one cutting half of the tokens and actually boosting performance overall. I&amp;#x27;d hazard a guess that they could get another 40% reduction, if they can come up with better reasoning scaffolding. Each advance over the last 4 years, from RLHF to o1 reasoning to multi-agent, multi-cluster parallelized CoT, has resulted in a new engineering scope, and the low hanging fruit in each place gets explored over the course of 8-12 months. We still probably have a year or 2 of low hanging fruit and hacking on…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.16419/"&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>
