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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2309.10524/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2309.10524/feed.xml" rel="self" type="application/rss+xml" /><item><title>Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition — HN submission</title><link>https://news.ycombinator.com/item?id=37799634</link><guid isPermaLink="false">urn:hackerpapers:submission:2309.10524:37799634</guid><pubDate>Sat, 07 Oct 2023 07:03:20 GMT</pubDate><description>&lt;p&gt;Harnessing LLM in End-to-End Speech Recognition&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2309.10524/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item></channel></rss>
