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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Extremely Small BERT Models from Mixed-Vocabulary Training · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1909.11687/</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/1909.11687/feed.xml" rel="self" type="application/rss+xml" /><item><title>Extremely Small BERT Models from Mixed-Vocabulary Training — mentioned by dmezzetti</title><link>https://news.ycombinator.com/item?id=38768319</link><guid isPermaLink="false">urn:hackerpapers:mention:1909.11687:38768319</guid><pubDate>Tue, 26 Dec 2023 02:07:18 GMT</pubDate><description>&lt;p&gt;For those interested in micro/tiny/small models, a couple more links. https://arxiv.org/abs/1909.11687 https://arxiv.org/abs/2210.07904 I wrote an article on the subject earlier this year - https://neuml.hashnode.dev/train-a-language-model-from-scrat...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1909.11687/"&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>Extremely Small BERT Models from Mixed-Vocabulary Training — HN submission</title><link>https://news.ycombinator.com/item?id=21104634</link><guid isPermaLink="false">urn:hackerpapers:submission:1909.11687:21104634</guid><pubDate>Sun, 29 Sep 2019 02:30:17 GMT</pubDate><description>&lt;p&gt;Extreme Language Model Compression with Optimal Subwords and Shared Projections&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/1909.11687/"&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>
