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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2306.08891/</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/2306.08891/feed.xml" rel="self" type="application/rss+xml" /><item><title>Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation — mentioned by ban-lan-gen</title><link>https://news.ycombinator.com/item?id=37435184</link><guid isPermaLink="false">urn:hackerpapers:mention:2306.08891:37435184</guid><pubDate>Fri, 08 Sep 2023 15:48:13 GMT</pubDate><description>&lt;p&gt;Just curious what kinds of models are used in your project? https://arxiv.org/abs/2306.08891 One paper seems to suggest trained specialized model can outperform LLM in some tasks.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2306.08891/"&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>
