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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1911.00536/</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/1911.00536/feed.xml" rel="self" type="application/rss+xml" /><item><title>DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation — mentioned by vok</title><link>https://news.ycombinator.com/item?id=21470574</link><guid isPermaLink="false">urn:hackerpapers:mention:1911.00536:21470574</guid><pubDate>Thu, 07 Nov 2019 05:05:55 GMT</pubDate><description>&lt;p&gt;&amp;quot;The human evaluation results indicate that the response generated from DialoGPT is comparable to human response quality under a single-turn conversation Turing test.&amp;quot; Paper here: https://arxiv.org/abs/1911.00536&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1911.00536/"&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>
