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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.04318/</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/2409.04318/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models — mentioned by nl</title><link>https://news.ycombinator.com/item?id=48454045</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.04318:48454045</guid><pubDate>Mon, 08 Jun 2026 23:44:04 GMT</pubDate><description>&lt;p&gt;Actually in this case they possibly are estimates. It&amp;#x27;s been known for some years[1] that LLMs do regression in-context. Frontier models have been trained against many, many issue text that include task break downs and estimates. [1] https://arxiv.org/html/2409.04318v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.04318/"&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>
