<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.13132/</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/2310.13132/feed.xml" rel="self" type="application/rss+xml" /><item><title>Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries — mentioned by numpad0</title><link>https://news.ycombinator.com/item?id=39732878</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.13132:39732878</guid><pubDate>Sun, 17 Mar 2024 08:34:45 GMT</pubDate><description>&lt;p&gt;Basically always worse in languages other than English. Not sure if it&amp;#x27;s just from volume of dataset or if it has to do with dataset quality, or the GPT architecture is inherently English-centric, but LLMs don&amp;#x27;t have like, a universal subconscious with superficial English frontend wrapping UG, like such that would support !(sapir-whorf). LLMs so far are kind of English-based thinking machine(if we were to recognize their apparent behavior as &amp;quot;thinking&amp;quot;). Below is just cherry-picked search results, selected largely by whether last few lines in the abstracts support my narrative, but I mean…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.13132/"&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>
