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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Are large language models superhuman chemists? · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.01475/</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/2404.01475/feed.xml" rel="self" type="application/rss+xml" /><item><title>Are large language models superhuman chemists? — mentioned by kjappelbaum</title><link>https://news.ycombinator.com/item?id=42069393</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.01475:42069393</guid><pubDate>Wed, 06 Nov 2024 21:06:07 GMT</pubDate><description>&lt;p&gt;We&amp;#x27;ve released a new version of ChemBench (https://arxiv.org/abs/2404.01475), a framework measuring LLMs&amp;#x27; chemistry capabilities against human experts. We Evaluated 2,788 expert-curated chemistry questions across undergrad/grad topics and provide a human baseline from 19 chemistry experts (mostly MS/PhD level). Leading LLMs (like o1, Claude 3.5) significantly outperformed human experts on average Performance varies by topic: - Strong: General chemistry, calculations - Weak: Safety/toxicity, analytical chemistry Notable: Models excel at textbook problems but struggle with reasoning that…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.01475/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Are large language models superhuman chemists? — HN submission</title><link>https://news.ycombinator.com/item?id=42069392</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.01475:42069392</guid><pubDate>Wed, 06 Nov 2024 21:06:07 GMT</pubDate><description>&lt;p&gt;ChemBench: Evaluating LLMs Against Expert Chemists [New Results]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.01475/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
