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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Text Classification via Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.08377/</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/2305.08377/feed.xml" rel="self" type="application/rss+xml" /><item><title>Text Classification via Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=37905298</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.08377:37905298</guid><pubDate>Mon, 16 Oct 2023 19:43:34 GMT</pubDate><description>&lt;p&gt;Text Classification via Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2305.08377/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Text Classification via Large Language Models — mentioned by PaulHoule</title><link>https://news.ycombinator.com/item?id=37862905</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08377:37862905</guid><pubDate>Thu, 12 Oct 2023 20:41:37 GMT</pubDate><description>&lt;p&gt;Depends how you define quality. This paper reflects my own experience https://arxiv.org/abs/2305.08377 and shows how LLM technology has a lot more to offer than &amp;quot;ChatGPT&amp;quot;. The real takeaway is that by training LLMs with real training data (even with a &amp;quot;less powerful&amp;quot; model) you can get an error rate more than 10x less than you get with the &amp;quot;zero shot&amp;quot; model of asking ChatGPT to answer a question for you the same way that Mickey Mouse asked the broom to clean up for him in Fantasia. The &amp;quot;few-shot&amp;quot; approach of supplying a few examples in the attention window was a little better but not much.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08377/"&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>
