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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.04334/</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/2406.04334/feed.xml" rel="self" type="application/rss+xml" /><item><title>DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs — mentioned by nl</title><link>https://news.ycombinator.com/item?id=45354802</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.04334:45354802</guid><pubDate>Wed, 24 Sep 2025 00:45:39 GMT</pubDate><description>&lt;p&gt;&amp;gt; Take the core technology and just optimize, optimize, optimize for 10x the cost/efficiency. As simple as that. Super impressive. This &amp;quot;just&amp;quot; is incorrect. The Qwen team invented things like DeepStack https://arxiv.org/abs/2406.04334 (Also I hate this &amp;quot;The Chinese&amp;quot; thing. Do we say &amp;quot;The British&amp;quot; if it came from a DeepMind team in the UK? Or what if there are Chinese born US citizens working in Paris for Mistral? Give credit to the Qwen team rather than a whole country. China has both great labs and mediocre labs, just like the rest of the world.)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.04334/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
