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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2302.09210/</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/2302.09210/feed.xml" rel="self" type="application/rss+xml" /><item><title>How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation — mentioned by potatoman22</title><link>https://news.ycombinator.com/item?id=35671285</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.09210:35671285</guid><pubDate>Sat, 22 Apr 2023 21:59:12 GMT</pubDate><description>&lt;p&gt;Few-shot learning typically works slightly better than zero-shot learning. Look at tables 3 &amp;amp; 4 in this paper: https://arxiv.org/pdf/2302.09210.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.09210/"&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>
