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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.17703/</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/2501.17703/feed.xml" rel="self" type="application/rss+xml" /><item><title>Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate — mentioned by Vetch</title><link>https://news.ycombinator.com/item?id=42970564</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.17703:42970564</guid><pubDate>Fri, 07 Feb 2025 08:21:01 GMT</pubDate><description>&lt;p&gt;The essence of the article is that self-correction exists as a nascent ability in base models already (more robustly in some like Qwen than others). This is highly reminiscent of Chain of Thought, which was found to be a capability already present in base models too. The result of RL is to reinforce already present authentic self-correction patterns and down weight superficial self-correction. Thoughts: - An analogy you shouldn&amp;#x27;t zoom too close into is going from CoT to reasoning traces is like going from purely ballistic trajectories to including navigation and thrusters. RL is for learning…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.17703/"&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>
