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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Unsupervised Neural Machine Translation with Generative Language Models Only · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2110.05448/</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/2110.05448/feed.xml" rel="self" type="application/rss+xml" /><item><title>Unsupervised Neural Machine Translation with Generative Language Models Only — mentioned by andrewnc</title><link>https://news.ycombinator.com/item?id=32579338</link><guid isPermaLink="false">urn:hackerpapers:mention:2110.05448:32579338</guid><pubDate>Wed, 24 Aug 2022 13:42:04 GMT</pubDate><description>&lt;p&gt;One examples of this is back translation [0] It works fairly well as model size increases Also, shameless plug, we&amp;#x27;re pretty proud of our generated anything&amp;#x27;s at Gretel[1]. It&amp;#x27;s tabular, text, and time series for now - but we recently had a blog post that shows how generated data can be useful for downstream ML [2] [0] https://arxiv.org/abs/2110.05448 [1] https://gretel.ai/ [2] https://gretel.ai/blog/how-to-safely-work-with-another-compa...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2110.05448/"&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>
