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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2302.12813/</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/2302.12813/feed.xml" rel="self" type="application/rss+xml" /><item><title>Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback — HN submission</title><link>https://news.ycombinator.com/item?id=35766575</link><guid isPermaLink="false">urn:hackerpapers:submission:2302.12813:35766575</guid><pubDate>Sun, 30 Apr 2023 20:59:37 GMT</pubDate><description>&lt;p&gt;Check Your Facts and Try Again: Improving LLMs with External Knowledge&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2302.12813/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback — mentioned by crakenzak</title><link>https://news.ycombinator.com/item?id=35452202</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.12813:35452202</guid><pubDate>Wed, 05 Apr 2023 11:11:26 GMT</pubDate><description>&lt;p&gt;relevant research paper: https://arxiv.org/abs/2302.12813&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.12813/"&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>Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback — HN submission</title><link>https://news.ycombinator.com/item?id=34972522</link><guid isPermaLink="false">urn:hackerpapers:submission:2302.12813:34972522</guid><pubDate>Tue, 28 Feb 2023 17:58:56 GMT</pubDate><description>&lt;p&gt;Improving large language models with external knowledge and automated feedback&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;15 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2302.12813/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback — mentioned by williamcotton</title><link>https://news.ycombinator.com/item?id=34968568</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.12813:34968568</guid><pubDate>Tue, 28 Feb 2023 12:35:22 GMT</pubDate><description>&lt;p&gt;That seems to be similar to this approach, at least at a cursory level: Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback https://arxiv.org/abs/2302.12813 The “facts” being derived not from Wikipedia but rather the rules of the fictional world.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.12813/"&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>Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback — HN submission</title><link>https://news.ycombinator.com/item?id=34952187</link><guid isPermaLink="false">urn:hackerpapers:submission:2302.12813:34952187</guid><pubDate>Mon, 27 Feb 2023 02:20:25 GMT</pubDate><description>&lt;p&gt;Improving Large Language Models with External Knowledge and Automated Feedback&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2302.12813/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
