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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CodeSearchNet Challenge: Evaluating the State of Semantic Code Search · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1909.09436/</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/1909.09436/feed.xml" rel="self" type="application/rss+xml" /><item><title>CodeSearchNet Challenge: Evaluating the State of Semantic Code Search — mentioned by slewis</title><link>https://news.ycombinator.com/item?id=21086161</link><guid isPermaLink="false">urn:hackerpapers:mention:1909.09436:21086161</guid><pubDate>Thu, 26 Sep 2019 22:16:04 GMT</pubDate><description>&lt;p&gt;Shawn from Weights &amp;amp; Biases here. We&amp;#x27;ve been working with Github and Microsoft Research on this for just about a year now and we&amp;#x27;re super excited to launch it today. We&amp;#x27;ve seen huge advances in human language modeling and translation due to the success of deep learning. Often new directions start with a really motivated team producing a new kind of dataset. Who better to do that for code as language than Github! This started as a grassroots effort inside of Github, and went through many iterations. When it was presented to Github&amp;#x27;s CEO six months ago, he correctly pointed out that we needed…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1909.09436/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
