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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2411.12580/</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/2411.12580/feed.xml" rel="self" type="application/rss+xml" /><item><title>Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models — mentioned by tkellogg</title><link>https://news.ycombinator.com/item?id=42785100</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.12580:42785100</guid><pubDate>Tue, 21 Jan 2025 20:57:26 GMT</pubDate><description>&lt;p&gt;I think their thought process is unconvincing, although I think they&amp;#x27;re probably correct. A much better paper is, &amp;quot;Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models&amp;quot;. They took it much further and trained an LLM such that for every inference, they could see exactly which document from the training dataset it referenced to answer a particular question. ngl This paper AGI-pilled me. https://arxiv.org/abs/2411.12580&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.12580/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models — mentioned by sgt101</title><link>https://news.ycombinator.com/item?id=42675014</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.12580:42675014</guid><pubDate>Sun, 12 Jan 2025 17:13:25 GMT</pubDate><description>&lt;p&gt;Proof? :) where has proof ever been found in truth? It&amp;#x27;s not proof, but there is some good evidence out there. Here are two interesting papers I found informative. https://arxiv.org/html/2403.04121v2 https://arxiv.org/html/2411.12580v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.12580/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=42289310</link><guid isPermaLink="false">urn:hackerpapers:submission:2411.12580:42289310</guid><pubDate>Sun, 01 Dec 2024 16:54:26 GMT</pubDate><description>&lt;p&gt;Procedural knowledge in pretraining drives reasoning in large language models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;248 points; 101 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2411.12580/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=42198340</link><guid isPermaLink="false">urn:hackerpapers:submission:2411.12580:42198340</guid><pubDate>Wed, 20 Nov 2024 21:34:24 GMT</pubDate><description>&lt;p&gt;Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2411.12580/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
