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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Taught Evaluators · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2408.02666/</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/2408.02666/feed.xml" rel="self" type="application/rss+xml" /><item><title>Self-Taught Evaluators — mentioned by anAiguy</title><link>https://news.ycombinator.com/item?id=42715839</link><guid isPermaLink="false">urn:hackerpapers:mention:2408.02666:42715839</guid><pubDate>Wed, 15 Jan 2025 19:33:50 GMT</pubDate><description>&lt;p&gt;I have in mind the following paper. It is called Self-Taught Evaluators (https://arxiv.org/pdf/2408.02666)by Meta . It is interesting as they get big improvements from LLM checking and improving solution. WDYT ? I don&amp;#x27;t know if you could generate an PR using AI with let&amp;#x27;s say Claude and then check the quality by using chatgpt or gemini.. I would be interested by knowing if that would provide quality and more trust or the opposite&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2408.02666/"&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>
