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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Text Generation with Unlikelihood Training · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1908.04319/</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/1908.04319/feed.xml" rel="self" type="application/rss+xml" /><item><title>Neural Text Generation with Unlikelihood Training — mentioned by bjourne</title><link>https://news.ycombinator.com/item?id=46579937</link><guid isPermaLink="false">urn:hackerpapers:mention:1908.04319:46579937</guid><pubDate>Sun, 11 Jan 2026 20:53:23 GMT</pubDate><description>&lt;p&gt;Reminds me a bit of unlikelihood training that was proposed a few years ago: https://arxiv.org/abs/1908.04319 Afaik, it never became popular. Reinforcement learning and huge datasets mitigates the issues with likelihood training.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1908.04319/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
