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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2309.03224/</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/2309.03224/feed.xml" rel="self" type="application/rss+xml" /><item><title>No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function — mentioned by groby_b</title><link>https://news.ycombinator.com/item?id=40685258</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.03224:40685258</guid><pubDate>Fri, 14 Jun 2024 21:20:49 GMT</pubDate><description>&lt;p&gt;While I respect the power of intuition - this may well be a great path - it&amp;#x27;s worth keeping in mind that this is currently just that. A hunch. Leela got crushed due to AI directed search, what if we can wave a wand and hand all AIs search. Somehow. Magically. Which will then somehow magically trounce current LLMs at domain-specific task. There&amp;#x27;s a kernel of truth in there. See the papers on better results via monte carlo search trees (e.g. [1]). See mixture-of-LoRA/LoRA-swarm approaches. (I swear there&amp;#x27;s a startup using the approach of tons of domain-specific LoRAs, but my brain&amp;#x27;s not…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.03224/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
