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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Using the Output Embedding to Improve Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1608.05859/</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/1608.05859/feed.xml" rel="self" type="application/rss+xml" /><item><title>Using the Output Embedding to Improve Language Models — mentioned by woadwarrior01</title><link>https://news.ycombinator.com/item?id=46206283</link><guid isPermaLink="false">urn:hackerpapers:mention:1608.05859:46206283</guid><pubDate>Tue, 09 Dec 2025 15:51:54 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s just a long winded way of saying &amp;quot;tied embeddings&amp;quot;[1]. IIRC, GPT-2, BERT, Gemma 2, Gemma 3, some of the smaller Qwen models and many more architectures use weight tied input/output embeddings. [1]: https://arxiv.org/abs/1608.05859&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1608.05859/"&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>
