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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Did the Model Understand the Question? · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1805.05492/</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/1805.05492/feed.xml" rel="self" type="application/rss+xml" /><item><title>Did the Model Understand the Question? — mentioned by babel_</title><link>https://news.ycombinator.com/item?id=39851558</link><guid isPermaLink="false">urn:hackerpapers:mention:1805.05492:39851558</guid><pubDate>Thu, 28 Mar 2024 13:59:52 GMT</pubDate><description>&lt;p&gt;So, from the perspective I have within the subfield I work in, explainable AI (XAI), we&amp;#x27;re seeing a bunch of fascinating developments. First, as you mentioned, Rudin continues to prove that the reason for using AI/ML is that we don&amp;#x27;t understand the problem well enough; otherwise we wouldn&amp;#x27;t even think to use it! So, pushing our focus to better understand the problem, and then levy ML concepts and techniques (including &amp;quot;classical AI&amp;quot; and statistical learning), we&amp;#x27;re able to make something that not only outperforms some state-of-the-art in most metrics, but often even is much less resource…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1805.05492/"&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>
