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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.11004/</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/2407.11004/feed.xml" rel="self" type="application/rss+xml" /><item><title>The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators — mentioned by knowaveragejoe</title><link>https://news.ycombinator.com/item?id=43109677</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.11004:43109677</guid><pubDate>Thu, 20 Feb 2025 00:31:39 GMT</pubDate><description>&lt;p&gt;This reminds me of a paper: &amp;quot;The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators&amp;quot; https://arxiv.org/abs/2407.11004 In essence, LLMs are quite good at writing the code to properly parse large amounts of unstructured text, rather than what a lot of people seem to be doing which is just shoveling data into an LLM&amp;#x27;s API and asking for transformations back.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.11004/"&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>
