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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2405.01577/</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/2405.01577/feed.xml" rel="self" type="application/rss+xml" /><item><title>HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models — mentioned by rickydroll</title><link>https://news.ycombinator.com/item?id=45336257</link><guid isPermaLink="false">urn:hackerpapers:mention:2405.01577:45336257</guid><pubDate>Mon, 22 Sep 2025 16:59:13 GMT</pubDate><description>&lt;p&gt;It could be interesting to build a small startup that identifies hate speech on Twitter, Threads, Blue Sky, and other platforms. I envision a UI that displays the message and, in a sidebar, lists what aspects of the message classify it as hate speech. Then, like a spam filter, you could decide to block the message. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1084806... https://arxiv.org/abs/2405.01577 https://arxiv.org/abs/2401.03346&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2405.01577/"&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>
