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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Re-Reading Improves Reasoning in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2309.06275/</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/2309.06275/feed.xml" rel="self" type="application/rss+xml" /><item><title>Re-Reading Improves Reasoning in Large Language Models — mentioned by codelion</title><link>https://news.ycombinator.com/item?id=44157556</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.06275:44157556</guid><pubDate>Mon, 02 Jun 2025 11:04:13 GMT</pubDate><description>&lt;p&gt;Re-reading the problem apparently works well - https://arxiv.org/abs/2309.06275 Here the system seems to have discovered this strategy by itself. The prompts are generic because during learning there is a part to refine and combine them. I haven’t experimented yet by adding all prompts to every query, given the large context it will be interesting to see.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.06275/"&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>
