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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.10498/</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/2206.10498/feed.xml" rel="self" type="application/rss+xml" /><item><title>PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — mentioned by epups</title><link>https://news.ycombinator.com/item?id=37506729</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.10498:37506729</guid><pubDate>Thu, 14 Sep 2023 09:29:56 GMT</pubDate><description>&lt;p&gt;The article itself is very assertive and makes a lot of generalizations, but if you look at the source of their claims [1] you see that in the first study they are using GPT-3.5 and achieve only a 5% score on a reasoning test that largely relies on spatial intuition - some boxes need to be stacked and unstacked sequentially in a convoluted task. Then, they get criticised so they come up with another paper in which they use GPT-4, which has an improved performance of 30% - a 6-fold increase, which the author describes as &amp;quot;modest&amp;quot;. They then decide to change the test to a much harder and more…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.10498/"&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>PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — mentioned by PaulHoule</title><link>https://news.ycombinator.com/item?id=35953496</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.10498:35953496</guid><pubDate>Mon, 15 May 2023 19:45:53 GMT</pubDate><description>&lt;p&gt;There are a lot of arXiv papers where people develop test suites for chatbots such as https://arxiv.org/pdf/2206.10498.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.10498/"&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>PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — HN submission</title><link>https://news.ycombinator.com/item?id=35533105</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.10498:35533105</guid><pubDate>Tue, 11 Apr 2023 23:25:14 GMT</pubDate><description>&lt;p&gt;Large Language Models Still Can’t Plan&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 6 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.10498/"&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>
