<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sungchul Kim | Xunyi's Academic Website</title><link>https://jiangxunyi.github.io/authors/sungchul-kim/</link><atom:link href="https://jiangxunyi.github.io/authors/sungchul-kim/index.xml" rel="self" type="application/rss+xml"/><description>Sungchul Kim</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 20 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://jiangxunyi.github.io/media/icon_hu12864870738162112581.png</url><title>Sungchul Kim</title><link>https://jiangxunyi.github.io/authors/sungchul-kim/</link></image><item><title>Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering</title><link>https://jiangxunyi.github.io/publication/selfloops/</link><pubDate>Mon, 20 Jul 2026 00:00:00 +0000</pubDate><guid>https://jiangxunyi.github.io/publication/selfloops/</guid><description>&lt;p>SOPHIA detects when a model repeats unproductive reasoning states and intervenes through hidden-state steering. The method uses transitions between reasoning states to guide generation, improving answer quality and token efficiency.&lt;/p></description></item></channel></rss>