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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Apollo: An Exploration of Video Understanding in Large Multimodal Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.10360/</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/2412.10360/feed.xml" rel="self" type="application/rss+xml" /><item><title>Apollo: An Exploration of Video Understanding in Large Multimodal Models — mentioned by jauntywundrkind</title><link>https://news.ycombinator.com/item?id=43111690</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.10360:43111690</guid><pubDate>Thu, 20 Feb 2025 06:18:00 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;d really like to play with Qwen2.5-VL at some point, perhaps for reading data-sheets for microchips. Nicely for some applications, it&amp;#x27;s also very good at reporting position of what it finds, which many ML tools are pretty mediocre at. https://qwenlm.github.io/blog/qwen2.5-vl/ Not really this application, but QvQ for visual reasoning is also impressive. https://qwenlm.github.io/blog/qvq-72b-preview/ Meta has used Qwen as the basis for their Apollo research. https://arxiv.org/abs/2412.10360&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.10360/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Apollo: An Exploration of Video Understanding in Large Multimodal Models — HN submission</title><link>https://news.ycombinator.com/item?id=42503503</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.10360:42503503</guid><pubDate>Tue, 24 Dec 2024 17:50:11 GMT</pubDate><description>&lt;p&gt;Apollo: An Exploration of Video Understanding in Large Multimodal Models&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/2412.10360/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Apollo: An Exploration of Video Understanding in Large Multimodal Models — HN submission</title><link>https://news.ycombinator.com/item?id=42435531</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.10360:42435531</guid><pubDate>Mon, 16 Dec 2024 21:18:03 GMT</pubDate><description>&lt;p&gt;Meta&amp;#x27;s new Video Understanding Multimodal Model used Qwen model for training&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.10360/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Apollo: An Exploration of Video Understanding in Large Multimodal Models — HN submission</title><link>https://news.ycombinator.com/item?id=42430748</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.10360:42430748</guid><pubDate>Mon, 16 Dec 2024 13:26:49 GMT</pubDate><description>&lt;p&gt;Meta releases family of multimodal models that comprehend hour-long video&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.10360/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
