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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Formal Mathematics Statement Curriculum Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2202.01344/</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/2202.01344/feed.xml" rel="self" type="application/rss+xml" /><item><title>Formal Mathematics Statement Curriculum Learning — HN submission</title><link>https://news.ycombinator.com/item?id=39225730</link><guid isPermaLink="false">urn:hackerpapers:submission:2202.01344:39225730</guid><pubDate>Fri, 02 Feb 2024 06:29:41 GMT</pubDate><description>&lt;p&gt;Formal Mathematics Statement Curriculum Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2202.01344/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Formal Mathematics Statement Curriculum Learning — mentioned by aSanchezStern</title><link>https://news.ycombinator.com/item?id=38042406</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.01344:38042406</guid><pubDate>Fri, 27 Oct 2023 18:52:58 GMT</pubDate><description>&lt;p&gt;Sounds like you&amp;#x27;ve stumbled into the wonderful world of machine-learning guided proof synthesis! While I don&amp;#x27;t think the full system you&amp;#x27;re describing has been built yet, many similar systems and pieces have. In terms of the initial phase of supervised learning on existing proofs to prove new ones, there&amp;#x27;s TacticToe (https://arxiv.org/abs/1804.00596), Tactician (https://arxiv.org/pdf/2008.00120.pdf), CoqGym/ASTactic (https://arxiv.org/abs/1905.09381), Proverbot9001 (https://arxiv.org/abs/1907.07794), and Diva (https://dl.acm.org/doi/10.1145/3510003.3510138#sec-terms), among others. Most of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.01344/"&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>Formal Mathematics Statement Curriculum Learning — mentioned by williamstein</title><link>https://news.ycombinator.com/item?id=35540642</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.01344:35540642</guid><pubDate>Wed, 12 Apr 2023 14:47:57 GMT</pubDate><description>&lt;p&gt;I would not discount the potential of LLM&amp;#x27;s to support research level mathematics. There&amp;#x27;s interesting research going into combining the LEAN theorem prover with LLMs, e.g., this recent paper: https://arxiv.org/abs/2202.01344 &amp;quot;... automatically solving multiple challenging problems drawn from high school olympiads.&amp;quot; This combination of GPT and LEAN is the first thing that has finally got me really interested in the potential of LEAN. And LEAN very directly addresses the &amp;quot;bullshit&amp;quot; issue, since it formally verifies whether or not a proof is correct (it&amp;#x27;s like a compiler like Rust, but for…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.01344/"&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>Formal Mathematics Statement Curriculum Learning — mentioned by globuous</title><link>https://news.ycombinator.com/item?id=31965849</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.01344:31965849</guid><pubDate>Sun, 03 Jul 2022 07:34:29 GMT</pubDate><description>&lt;p&gt;That’s the topic of my thesis ! Here’s some work by open ai doing exactly that ! :) https://arxiv.org/abs/2202.01344&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.01344/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
