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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automata-based constraints for language model decoding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.08103/</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/2407.08103/feed.xml" rel="self" type="application/rss+xml" /><item><title>Automata-based constraints for language model decoding — mentioned by mcyc</title><link>https://news.ycombinator.com/item?id=46654094</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.08103:46654094</guid><pubDate>Sat, 17 Jan 2026 00:33:27 GMT</pubDate><description>&lt;p&gt;This is a fantastic guide! I did a lot of work on structured generation for my PhD. Here are a few other pointers for people who might be interested: Some libraries: - Outlines, a nice library for structured generation - https://github.com/dottxt-ai/outlines - Guidance (already covered by FlyingLawnmower in this thread), another nice library - https://github.com/guidance-ai/guidance - XGrammar, a less-featureful but really well optimized constrained generation library - https://github.com/mlc-ai/xgrammar - This one has a lot of cool technical aspects that make it an interesting project Some…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.08103/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
