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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Instruction-Following Pruning for Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.02086/</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/2501.02086/feed.xml" rel="self" type="application/rss+xml" /><item><title>Instruction-Following Pruning for Large Language Models — mentioned by Alpha3031</title><link>https://news.ycombinator.com/item?id=49456764</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.02086:49456764</guid><pubDate>Wed, 26 Aug 2026 22:25:53 GMT</pubDate><description>&lt;p&gt;Normal MoE is switch-weights-per-token so you would se substantial slowdowns that way. Apple did a More that switches weights per prompt (instruction-following pruning, https://arxiv.org/abs/2501.02086) but you have to design the model that way which I don&amp;#x27;t think the have.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.02086/"&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>Instruction-Following Pruning for Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=45235119</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.02086:45235119</guid><pubDate>Sat, 13 Sep 2025 20:37:50 GMT</pubDate><description>&lt;p&gt;Instruction-Following Pruning for Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2501.02086/"&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>
