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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Think Then Embed: Generative Context Improves Multimodal Embedding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2510.05014/</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/2510.05014/feed.xml" rel="self" type="application/rss+xml" /><item><title>Think Then Embed: Generative Context Improves Multimodal Embedding — mentioned by daemonologist</title><link>https://news.ycombinator.com/item?id=45926901</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.05014:45926901</guid><pubDate>Fri, 14 Nov 2025 14:20:09 GMT</pubDate><description>&lt;p&gt;I think they&amp;#x27;re suggesting doing that with BERT for text and CLIP for images. Which in my experience is indeed quite effective (and easy/fast). There have been some developments in the image-of-text/other-than-photograph area though recently. From Meta (although they seem unsure of what exactly their AI division is called): https://arxiv.org/abs/2510.05014 and Qihoo360: https://arxiv.org/abs/2510.27350 for instance.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.05014/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
