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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2307.05532/</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/2307.05532/feed.xml" rel="self" type="application/rss+xml" /><item><title>Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators — mentioned by 1vuio0pswjnm7</title><link>https://news.ycombinator.com/item?id=36902727</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.05532:36902727</guid><pubDate>Fri, 28 Jul 2023 03:06:19 GMT</pubDate><description>&lt;p&gt;For some background on the comment, see the following paper. Title: Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators Authors: Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse Abstract: Large language models that exhibit instruction-following behaviour represent one of the biggest recent upheavals in conversational interfaces, a trend in large part fuelled by the release of OpenAI&amp;#x27;s ChatGPT, a proprietary large language model for text generation fine-tuned through reinforcement learning from human feedback (LLM+RLHF). We review the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.05532/"&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>Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators — mentioned by _1__2___3</title><link>https://news.ycombinator.com/item?id=36897240</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.05532:36897240</guid><pubDate>Thu, 27 Jul 2023 17:35:07 GMT</pubDate><description>&lt;p&gt;arxiv preprint discussed in the piece: https://arxiv.org/abs/2307.05532&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.05532/"&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>
