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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dataless Knowledge Fusion by Merging Weights of Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.09849/</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/2212.09849/feed.xml" rel="self" type="application/rss+xml" /><item><title>Dataless Knowledge Fusion by Merging Weights of Language Models — mentioned by sebastiennight</title><link>https://news.ycombinator.com/item?id=41050687</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.09849:41050687</guid><pubDate>Tue, 23 Jul 2024 20:52:28 GMT</pubDate><description>&lt;p&gt;It is possible to merge two fine-tunes of models from the same family by... wait for it... averaging or combining their weights[0]. I am still amazed that we can do that. [0]: https://arxiv.org/abs/2212.09849&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.09849/"&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>
