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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Structured Prompting: Scaling In-Context Learning to 1,000 Examples · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.06713/</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/2212.06713/feed.xml" rel="self" type="application/rss+xml" /><item><title>Structured Prompting: Scaling In-Context Learning to 1,000 Examples — mentioned by adultSwim</title><link>https://news.ycombinator.com/item?id=34990971</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.06713:34990971</guid><pubDate>Thu, 02 Mar 2023 02:01:44 GMT</pubDate><description>&lt;p&gt;One of their other recent papers was work towards expanding this limit in language models, &amp;quot;Structured Prompting: Scaling In-Context Learning to 1,000 Examples&amp;quot; https://arxiv.org/abs/2212.06713&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.06713/"&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>
