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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large Language Model Guided Tree-of-Thought · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.08291/</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/2305.08291/feed.xml" rel="self" type="application/rss+xml" /><item><title>Large Language Model Guided Tree-of-Thought — mentioned by famouswaffles</title><link>https://news.ycombinator.com/item?id=37771111</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08291:37771111</guid><pubDate>Wed, 04 Oct 2023 20:19:37 GMT</pubDate><description>&lt;p&gt;&amp;gt;World models would need to have logical relationships between the entities being No they wouldn&amp;#x27;t. There is no evidence, basically none whatsoever that logical can model reality or that general &amp;quot;perfect logical reasoning&amp;quot; is a thing that actually exists in the real world in real world relationships. None. No animal we&amp;#x27;ve observed does it. Humans certainly don&amp;#x27;t do it. The only realm this idea actually seems to work is Fiction. and this was not like for a lack of trying. Some of the greatest minds worked on this for decades and some people still don&amp;#x27;t seem to get it. Logic doesn&amp;#x27;t scale. It…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08291/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Large Language Model Guided Tree-of-Thought — mentioned by famouswaffles</title><link>https://news.ycombinator.com/item?id=37509966</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08291:37509966</guid><pubDate>Thu, 14 Sep 2023 15:02:25 GMT</pubDate><description>&lt;p&gt;Yes LLMs can solve sudoku https://arxiv.org/abs/2305.08291&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08291/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Large Language Model Guided Tree-of-Thought — mentioned by coder543</title><link>https://news.ycombinator.com/item?id=37439022</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08291:37439022</guid><pubDate>Fri, 08 Sep 2023 20:31:09 GMT</pubDate><description>&lt;p&gt;Tree Of Thought can do pretty well at Sudoku, apparently: https://arxiv.org/abs/2305.08291&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08291/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Large Language Model Guided Tree-of-Thought — mentioned by renyujia</title><link>https://news.ycombinator.com/item?id=36110348</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08291:36110348</guid><pubDate>Mon, 29 May 2023 03:32:09 GMT</pubDate><description>&lt;p&gt;BTW the ToT implementation of https://arxiv.org/abs/2305.08291 is also available on GitHub: https://github.com/jieyilong/tree-of-thought-puzzle-solver &amp;quot;Large Language Model Guided Tree-of-Thought&amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08291/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Large Language Model Guided Tree-of-Thought — mentioned by renyujia</title><link>https://news.ycombinator.com/item?id=36110328</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08291:36110328</guid><pubDate>Mon, 29 May 2023 03:29:06 GMT</pubDate><description>&lt;p&gt;BTW here is the link to the Tree of Thoughts paper &amp;quot;Large Language Model Guided Tree-of-Thought&amp;quot;: https://arxiv.org/pdf/2305.08291.pdf https://github.com/jieyilong/tree-of-thought-puzzle-solver In this paper, we introduce the Tree-of-Thought (ToT) framework, a novel approach aimed at improving the problem-solving capabilities of auto-regressive large language models (LLMs). The ToT technique is inspired by the human mind’s approach for solving complex reasoning tasks through trial and error. In this process, the human mind explores the solution space through a tree-like thought process…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08291/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Large Language Model Guided Tree-of-Thought — mentioned by joshka</title><link>https://news.ycombinator.com/item?id=36090100</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08291:36090100</guid><pubDate>Fri, 26 May 2023 22:09:20 GMT</pubDate><description>&lt;p&gt;Interestingly a 2 days prior to https://arxiv.org/abs/2305.10601, someone released https://arxiv.org/abs/2305.08291 &amp;gt; Large Language Model Guided Tree-of-Thought &amp;gt; In this paper, we introduce the Tree-of-Thought (ToT) framework, a novel approach aimed at improving the problem-solving capabilities of auto-regressive large language models (LLMs). The ToT technique is inspired by the human mind&amp;#x27;s approach for solving complex reasoning tasks through trial and error. In this process, the human mind explores the solution space through a tree-like thought process, allowing for backtracking when…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08291/"&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>
