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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2511.13029/</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/2511.13029/feed.xml" rel="self" type="application/rss+xml" /><item><title>AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models — mentioned by simianwords</title><link>https://news.ycombinator.com/item?id=47696906</link><guid isPermaLink="false">urn:hackerpapers:mention:2511.13029:47696906</guid><pubDate>Wed, 08 Apr 2026 22:07:11 GMT</pubDate><description>&lt;p&gt;They all use the tool search, no? Please correct me if I&amp;#x27;m wrong. My criteria was using ChatGPT which explicitly allows it. https://arxiv.org/html/2511.13029v1 if you don&amp;#x27;t believe me. BTW this was your original point &amp;gt;Anyway, it&amp;#x27;s trivial to get pretty much any model to make things up. Don&amp;#x27;t we all know this? That&amp;#x27;s why I was surprised by your position; if we know anything about these things it&amp;#x27;s that they make things up. And look at how much effort you have had to do 1. use the wrong model for the horns example 2. the game one also didn&amp;#x27;t work 3. now you are searching for examples in…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2511.13029/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=45975907</link><guid isPermaLink="false">urn:hackerpapers:submission:2511.13029:45975907</guid><pubDate>Wed, 19 Nov 2025 04:37:28 GMT</pubDate><description>&lt;p&gt;AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in LLMs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2511.13029/"&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>AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=45961345</link><guid isPermaLink="false">urn:hackerpapers:submission:2511.13029:45961345</guid><pubDate>Tue, 18 Nov 2025 04:20:03 GMT</pubDate><description>&lt;p&gt;AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;6 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2511.13029/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
