<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Delving into LLM-assisted writing in biomedical publications through excess vocabulary · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.07016/</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/2406.07016/feed.xml" rel="self" type="application/rss+xml" /><item><title>Delving into LLM-assisted writing in biomedical publications through excess vocabulary — HN submission</title><link>https://news.ycombinator.com/item?id=48534908</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.07016:48534908</guid><pubDate>Mon, 15 Jun 2026 00:32:43 GMT</pubDate><description>&lt;p&gt;Show HN: Isitslop.xyz, a free AI-writing detector built on latest research&lt;/p&gt;&lt;p&gt;I have a weird habit of guessing whether something&amp;#x27;s AI before I check, especially on LinkedIn and Reddit (for obvious reasons). The detectors I used to confirm were mostly junk and built to sell you a &amp;quot;humanizer&amp;quot; upsell, so I went and read the actual research on what gives AI text away in 2026, then built my own (no login and free) The main sources I used are these: https://arxiv.org/abs/2406.07016 https://arxiv.org/abs/2403.07183 https://aclanthology.org/2025.coling-main.426/ https://arxiv.org/abs/2410.16107 https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing (Amazing article on the…&lt;/p&gt;&lt;p&gt;5 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2406.07016/"&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>Delving into LLM-assisted writing in biomedical publications through excess vocabulary — mentioned by 2025codecracker</title><link>https://news.ycombinator.com/item?id=46646976</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.07016:46646976</guid><pubDate>Fri, 16 Jan 2026 14:57:51 GMT</pubDate><description>&lt;p&gt;It used to be em dashes. And those really obvious words like „delve into“ I remember there was even a story about those words. EDIT: https://arxiv.org/abs/2406.07016&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.07016/"&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>Delving into LLM-assisted writing in biomedical publications through excess vocabulary — mentioned by wietze</title><link>https://news.ycombinator.com/item?id=41225723</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.07016:41225723</guid><pubDate>Mon, 12 Aug 2024 15:42:19 GMT</pubDate><description>&lt;p&gt;Although &amp;quot;eager&amp;quot; isn&amp;#x27;t called out, a recent study of academic publications shows that the use of LLMs can be measured through word frequency analysis [1], finding certain words are disproportionally represented: &amp;gt; We study vocabulary changes in 14 million PubMed abstracts from 2010–2024, and show how the appearance of LLMs led to an abrupt increase in the frequency of certain style words. 1: https://arxiv.org/html/2406.07016v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.07016/"&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>Delving into LLM-assisted writing in biomedical publications through excess vocabulary — mentioned by a_bonobo</title><link>https://news.ycombinator.com/item?id=40874546</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.07016:40874546</guid><pubDate>Thu, 04 Jul 2024 12:55:10 GMT</pubDate><description>&lt;p&gt;There is some circumstantial evidence that the word &amp;#x27;delves&amp;#x27; implies that ChatGPT wrote it. Some evidence here: https://arxiv.org/html/2406.07016v2 &amp;gt;Less common words with strong excess usage included delves (=28.0), showcasing (=10.2) and underscores (=10.9), together with their grammatical inflections (Figure 2a). But of course, that isn&amp;#x27;t a smoking gun, it might just be coincidence. The linked arxiv paper itself uses &amp;#x27;delves&amp;#x27;, probably tongue-in-cheek :)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.07016/"&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>Delving into LLM-assisted writing in biomedical publications through excess vocabulary — HN submission</title><link>https://news.ycombinator.com/item?id=40763133</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.07016:40763133</guid><pubDate>Sat, 22 Jun 2024 23:18:29 GMT</pubDate><description>&lt;p&gt;Delving into ChatGPT usage in academic writing through excess vocabulary&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;164 points; 105 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2406.07016/"&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>Delving into LLM-assisted writing in biomedical publications through excess vocabulary — HN submission</title><link>https://news.ycombinator.com/item?id=40752732</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.07016:40752732</guid><pubDate>Fri, 21 Jun 2024 19:18:55 GMT</pubDate><description>&lt;p&gt;Delving into ChatGPT usage in academic writing through excess vocabulary&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/2406.07016/"&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>
