<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detection · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2312.03706/</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/2312.03706/feed.xml" rel="self" type="application/rss+xml" /><item><title>An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detection — mentioned by sp332</title><link>https://news.ycombinator.com/item?id=40385167</link><guid isPermaLink="false">urn:hackerpapers:mention:2312.03706:40385167</guid><pubDate>Fri, 17 May 2024 00:46:41 GMT</pubDate><description>&lt;p&gt;LLMs are state-of-the-art at detecting sarcasm. It won&amp;#x27;t help if the data is just wrong though. Edit: https://arxiv.org/abs/2312.03706 Human performance on this benchmark (detecting sarcasm in Reddit comments) was 0.82, a BERT-based LLM scored 0.79. https://arxiv.org/abd/2106.05752 LSTM, 98% at detecting sarcasm in a Project Gutenburg-based dataset.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2312.03706/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detection — HN submission</title><link>https://news.ycombinator.com/item?id=38826851</link><guid isPermaLink="false">urn:hackerpapers:submission:2312.03706:38826851</guid><pubDate>Sun, 31 Dec 2023 19:38:12 GMT</pubDate><description>&lt;p&gt;An Evaluation of Large Language Models for Sarcasm Detection&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2312.03706/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detection — HN submission</title><link>https://news.ycombinator.com/item?id=38797695</link><guid isPermaLink="false">urn:hackerpapers:submission:2312.03706:38797695</guid><pubDate>Thu, 28 Dec 2023 19:45:10 GMT</pubDate><description>&lt;p&gt;An Evaluation of Large Language Models for Sarcasm Detection&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2312.03706/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detection — HN submission</title><link>https://news.ycombinator.com/item?id=38665088</link><guid isPermaLink="false">urn:hackerpapers:submission:2312.03706:38665088</guid><pubDate>Sat, 16 Dec 2023 15:51:08 GMT</pubDate><description>&lt;p&gt;An Evaluation of Large Language Models for Sarcasm Detection&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2312.03706/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
