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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.00537/</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/1905.00537/feed.xml" rel="self" type="application/rss+xml" /><item><title>SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems — mentioned by RcouF1uZ4gsC</title><link>https://news.ycombinator.com/item?id=21351253</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.00537:21351253</guid><pubDate>Fri, 25 Oct 2019 02:23:15 GMT</pubDate><description>&lt;p&gt;I think classifying this as human level is misleading. Look at the sub-scores on the page. One score that looks very different from humans is AX-b. The SuperGlue paper provides more context about AX-b https://arxiv.org/pdf/1905.00537.pdf AX-b &amp;quot;is the broad-coverage diagnostic task, scored using Matthews’ correlation (MCC). &amp;quot; This is how the paper describes this test &amp;quot; Analyzing Linguistic and World Knowledge in Models GLUE includes an expert-constructed, diagnostic dataset that automatically tests models for a broad range of linguistic, commonsense, and world knowledge. Each example in this…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.00537/"&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>
