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<rss version="2.0"><channel><description>NLP &amp; Interpretability | PhD Student @ University of Trieste &amp; Laboratory of Data Engineering of Area Science Park | Prev MPI-IS</description><link>https://bsky.app/profile/francescortu.bsky.social</link><title>@francescortu.bsky.social - Francesco Ortu</title><item><link>https://bsky.app/profile/francescortu.bsky.social/post/3lcy2e4daic2n</link><description>🚨 🚨 Excited to share our latest paper, now on #arXiv! &#xA;&#xA;🖼️  We studied how unified VLMs, trained to generate both text and images (e.g., Meta&#39;s Chameleon), exchange information between modalities, comparing them to standard VLMs. &#xA;&#xA;📄 Paper: arxiv.org/abs/2412.06646&#xA;&#xA;Deep dive: 👇</description><pubDate>10 Dec 2024 20:10 +0000</pubDate><guid isPermaLink="false">at://did:plc:dqsof7bbciakyg6jfkxoclfp/app.bsky.feed.post/3lcy2e4daic2n</guid></item></channel></rss>