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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-playing Adversarial Language Game Enhances LLM Reasoning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.10642/</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/2404.10642/feed.xml" rel="self" type="application/rss+xml" /><item><title>Self-playing Adversarial Language Game Enhances LLM Reasoning — mentioned by bubblyworld</title><link>https://news.ycombinator.com/item?id=41190949</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.10642:41190949</guid><pubDate>Thu, 08 Aug 2024 12:47:49 GMT</pubDate><description>&lt;p&gt;The SPAG paper is an interesting example of true reinforcement learning using language models that improves their performance on a number of hard reasoning benchmarks. https://arxiv.org/abs/2404.10642 The part that is missing from Karpathy&amp;#x27;s rant is &amp;quot;at scale&amp;quot; (the researchers only ran 3 iterations of the algorithm on small language models) and in &amp;quot;open domains&amp;quot; (I could be wrong about this but IIRC they ran their games on a small number of common english words). But adversarial language games seem promising, at least.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.10642/"&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>Self-playing Adversarial Language Game Enhances LLM Reasoning — HN submission</title><link>https://news.ycombinator.com/item?id=40198763</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.10642:40198763</guid><pubDate>Mon, 29 Apr 2024 14:28:57 GMT</pubDate><description>&lt;p&gt;Self-Playing Adversarial Language Game Enhances LLM Reasoning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.10642/"&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>
