<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sujay Sanghavi | Ravid Shwartz-Ziv</title><link>https://www.ravid-shwartz-ziv.com/author/sujay-sanghavi/</link><atom:link href="https://www.ravid-shwartz-ziv.com/author/sujay-sanghavi/index.xml" rel="self" type="application/rss+xml"/><description>Sujay Sanghavi</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Mon, 16 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.ravid-shwartz-ziv.com/img/ravid-shwartz-ziv-social-v2.png</url><title>Sujay Sanghavi</title><link>https://www.ravid-shwartz-ziv.com/author/sujay-sanghavi/</link></image><item><title>When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models</title><link>https://www.ravid-shwartz-ziv.com/publication/inuit/</link><pubDate>Mon, 16 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/inuit/</guid><description>&lt;p>Previously titled &lt;strong>Inheritune: Training Smaller Yet More Attentive Language Models&lt;/strong>. First posted on arXiv on April 12, 2024; the journal version was published in TMLR in February 2026. The arXiv version was updated on February 16, 2026.&lt;/p></description></item></channel></rss>