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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.19260/</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/2412.19260/feed.xml" rel="self" type="application/rss+xml" /><item><title>MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes — mentioned by jychang</title><link>https://news.ycombinator.com/item?id=47437432</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.19260:47437432</guid><pubDate>Thu, 19 Mar 2026 11:05:49 GMT</pubDate><description>&lt;p&gt;1. Claiming that gpt-4o and gpt-4.5 came from the same training run is ridiculous, gpt-4.5 was not distilled from the same pretrain as 4o. - Mark Chen has literally publicly said as much, it&amp;#x27;s a completely different pretrain run. - And clearly if openai has a good big base model before 4.5, they would have released it back in 2024. &amp;quot;How do you think OAI would be able to serve 4.5 at scale if the model itself was 10x total bigger than everything else?&amp;quot; through pipeline parallelism, not tensor parallelism. Don&amp;#x27;t need to synchronize an all-reduce across clusters. You lose tons of tokens/sec per…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.19260/"&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>MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes — mentioned by simonw</title><link>https://news.ycombinator.com/item?id=43780209</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.19260:43780209</guid><pubDate>Thu, 24 Apr 2025 07:50:25 GMT</pubDate><description>&lt;p&gt;The best source I&amp;#x27;ve seen for the 8B number is this TechCrunch article: https://techcrunch.com/2024/07/18/openai-unveils-gpt-4o-mini... &amp;gt; OpenAI would not disclose exactly how large GPT-4o mini is, but said it’s roughly in the same tier as other small AI models, such as Llama 3 8b, Claude Haiku and Gemini 1.5 Flash. As far as I can tell all of the 8B rumors were seeded by that loosely sourced comparison to Llama 3 8B. I know for a fact that Gemini 1.5 Flash is NOT an 8B model, because a separate model called &amp;quot;Gemini 1.5 Flash 8B&amp;quot; came out after that article was published - the first Gemini…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.19260/"&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>MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes — HN submission</title><link>https://news.ycombinator.com/item?id=42581055</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.19260:42581055</guid><pubDate>Fri, 03 Jan 2025 01:12:59 GMT</pubDate><description>&lt;p&gt;Medec: A Benchmark for Medical Error Detection and Correction in Clinical Notes&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/2412.19260/"&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>
