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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Detecting LLM-Generated Peer Reviews · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2503.15772/</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/2503.15772/feed.xml" rel="self" type="application/rss+xml" /><item><title>Detecting LLM-Generated Peer Reviews — mentioned by occamschainsaw</title><link>https://news.ycombinator.com/item?id=44473653</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.15772:44473653</guid><pubDate>Sat, 05 Jul 2025 16:04:48 GMT</pubDate><description>&lt;p&gt;There’s already some work looking into this[1]. The authors add invisible prompts in papers/grants to embed watermarks in reviews and then show that they can detect LLM generated reviews with reasonable accuracy (more than chance, but there’s no 100% detection yet). [1] Rao et al., Detecting LLM-Generated Peer Reviews https://arxiv.org/pdf/2503.15772&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.15772/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DL</category></item></channel></rss>
