<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1707.09457/</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/1707.09457/feed.xml" rel="self" type="application/rss+xml" /><item><title>Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints — mentioned by benob</title><link>https://news.ycombinator.com/item?id=48401583</link><guid isPermaLink="false">urn:hackerpapers:mention:1707.09457:48401583</guid><pubDate>Thu, 04 Jun 2026 17:12:50 GMT</pubDate><description>&lt;p&gt;And papers on bias amplification in ML predate LLMs. I remember this specific one which was a spotlight paper at EMNLP: Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints, Zhao et al. https://arxiv.org/abs/1707.09457&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1707.09457/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
