<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.17233/</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/2603.17233/feed.xml" rel="self" type="application/rss+xml" /><item><title>Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning — mentioned by jaen</title><link>https://news.ycombinator.com/item?id=47873054</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.17233:47873054</guid><pubDate>Thu, 23 Apr 2026 07:29:02 GMT</pubDate><description>&lt;p&gt;There are ways to partially improve or at least quantify the specification gap using LLMs, by analyzing variance in the output formal specification when given a natural language specification (by eg. generating many formal specs from an input description). See eg. &amp;quot;Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning&amp;quot; [1]. [1]: https://arxiv.org/abs/2603.17233&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.17233/"&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>
