<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Alignment | Gelei Deng</title><link>https://geleideng.github.io/tags/model-alignment/</link><atom:link href="https://geleideng.github.io/tags/model-alignment/index.xml" rel="self" type="application/rss+xml"/><description>Model Alignment</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 02 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://geleideng.github.io/media/icon_hu7729264130191091259.png</url><title>Model Alignment</title><link>https://geleideng.github.io/tags/model-alignment/</link></image><item><title>RSafe: Incentivizing Proactive Reasoning to Build Robust and Adaptive LLM Safeguards</title><link>https://geleideng.github.io/publication/rsafe/</link><pubDate>Tue, 02 Dec 2025 00:00:00 +0000</pubDate><guid>https://geleideng.github.io/publication/rsafe/</guid><description>&lt;p>RSafe targets the brittleness of conventional guard models by making safety decisions through explicit reasoning over a user-specified policy, then reinforcing those reasoning traces to improve robustness on adversarial and out-of-distribution safety violations.&lt;/p></description></item></channel></rss>