<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robustness | Yiqiao Jin CS PhD @ Georgia Tech</title><link>https://ahren09.github.io/tags/robustness/</link><atom:link href="https://ahren09.github.io/tags/robustness/index.xml" rel="self" type="application/rss+xml"/><description>Robustness</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 23 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://ahren09.github.io/media/icon_hu_eee6347cbdb2cc3f.png</url><title>Robustness</title><link>https://ahren09.github.io/tags/robustness/</link></image><item><title>Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models</title><link>https://ahren09.github.io/publication/iclr26_sape/</link><pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate><guid>https://ahren09.github.io/publication/iclr26_sape/</guid><description>&lt;h2 id="abstract">Abstract&lt;/h2>
&lt;p>Prompt engineering for large language models often relies on brittle &amp;ldquo;magic words&amp;rdquo; that fail to generalize across tasks and models. We propose a sharpness-aware prompt evolving framework that optimizes prompts for robustness by penalizing sharp regions in the prompt loss landscape.&lt;/p>
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