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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2506.04788/</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/2506.04788/feed.xml" rel="self" type="application/rss+xml" /><item><title>Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques — mentioned by ajs7270</title><link>https://news.ycombinator.com/item?id=44211226</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.04788:44211226</guid><pubDate>Sat, 07 Jun 2025 17:45:29 GMT</pubDate><description>&lt;p&gt;We analyzed 125 multimodal AI models to understand how they really work - here&amp;#x27;s what we found Hi HackerNews! I&amp;#x27;m Jisu An, and my team just published a comprehensive survey that tackles a critical gap in our understanding of multimodal AI. WHY THIS MATTERS RIGHT NOW The field is exploding with models like GPT-4V, Gemini, and Claude 3 - but there&amp;#x27;s been no systematic framework for understanding how they actually integrate different modalities (vision, audio, speech) with language models. This creates real problems for researchers and engineers trying to build or improve these systems. WHAT WE…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.04788/"&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>Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques — HN submission</title><link>https://news.ycombinator.com/item?id=44211225</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.04788:44211225</guid><pubDate>Sat, 07 Jun 2025 17:45:29 GMT</pubDate><description>&lt;p&gt;Deep dive: How 125 multimodal AI models fuse vision and language&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.04788/"&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>
