<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language Models Can Teach Themselves to Program Better · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2207.14502/</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/2207.14502/feed.xml" rel="self" type="application/rss+xml" /><item><title>Language Models Can Teach Themselves to Program Better — mentioned by cubefox</title><link>https://news.ycombinator.com/item?id=39034894</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.14502:39034894</guid><pubDate>Wed, 17 Jan 2024 23:06:50 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s the topic of this fascinating paper: https://arxiv.org/abs/2207.14502&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.14502/"&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>Language Models Can Teach Themselves to Program Better — mentioned by cubefox</title><link>https://news.ycombinator.com/item?id=38045167</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.14502:38045167</guid><pubDate>Fri, 27 Oct 2023 23:12:25 GMT</pubDate><description>&lt;p&gt;Wow, that&amp;#x27;s a great overview. While most of it goes over my head, it is interesting that quite a lot of research has been done in this direction. The system I outlined above was inspired by this intriguing paper: https://arxiv.org/abs/2207.14502 It is superficially about a different topic, namely generating and solving &amp;quot;programming puzzles&amp;quot;, basically a type of unit test, that are then verified by the python interpreter. This system seems quite analogous to one where the programming puzzles are replaced by conjectures in a language like Lean, the proposed puzzle solutions are instead proposed…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.14502/"&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>Language Models Can Teach Themselves to Program Better — mentioned by cubefox</title><link>https://news.ycombinator.com/item?id=35937609</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.14502:35937609</guid><pubDate>Sun, 14 May 2023 12:57:26 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m not sure how consensus would get you significantly above human baseline. Doesn&amp;#x27;t that just get you some sort of average? The basic problem with synthetic self-training is that we need some reward function which tells us whether a given synthetic example is good. In case of AlphaGo Zero, this was a synthetic strategy which won the game, or scored a lot. Which can be automatically detected. But how do we automatically recognize that synthetic text has &amp;quot;high quality&amp;quot;? One case where it might work is proofs in a formal proof language which can be checked automatically via software. So if a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.14502/"&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>Language Models Can Teach Themselves to Program Better — mentioned by cubefox</title><link>https://news.ycombinator.com/item?id=35618694</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.14502:35618694</guid><pubDate>Tue, 18 Apr 2023 19:18:38 GMT</pubDate><description>&lt;p&gt;These guys did that by letting a model generate unit tests and then let the interpreter check it: https://arxiv.org/abs/2207.14502&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.14502/"&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>Language Models Can Teach Themselves to Program Better — HN submission</title><link>https://news.ycombinator.com/item?id=35042049</link><guid isPermaLink="false">urn:hackerpapers:submission:2207.14502:35042049</guid><pubDate>Mon, 06 Mar 2023 15:22:41 GMT</pubDate><description>&lt;p&gt;Language Models Can Teach Themselves to Program Better&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/2207.14502/"&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>Language Models Can Teach Themselves to Program Better — HN submission</title><link>https://news.ycombinator.com/item?id=32457120</link><guid isPermaLink="false">urn:hackerpapers:submission:2207.14502:32457120</guid><pubDate>Sun, 14 Aug 2022 07:04:07 GMT</pubDate><description>&lt;p&gt;Language Models Can Teach Themselves to Program Better&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2207.14502/"&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>
