<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Minh Nhat Nguyen | Ravid Shwartz-Ziv</title><link>https://www.ravid-shwartz-ziv.com/author/minh-nhat-nguyen/</link><atom:link href="https://www.ravid-shwartz-ziv.com/author/minh-nhat-nguyen/index.xml" rel="self" type="application/rss+xml"/><description>Minh Nhat Nguyen</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jul 2024 00:00:00 +0000</lastBuildDate><image><url>https://www.ravid-shwartz-ziv.com/img/ravid-shwartz-ziv-social-v2.png</url><title>Minh Nhat Nguyen</title><link>https://www.ravid-shwartz-ziv.com/author/minh-nhat-nguyen/</link></image><item><title>Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs</title><link>https://www.ravid-shwartz-ziv.com/publication/minp/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/minp/</guid><description>&lt;p>Presented at &lt;strong>ICLR 2025 (Oral)&lt;/strong>. First released in July 2024; the latest arXiv revision is from November 2025.&lt;/p></description></item></channel></rss>