<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLMs |</title><link>https://nick-jhlee.github.io/tags/llms/</link><atom:link href="https://nick-jhlee.github.io/tags/llms/index.xml" rel="self" type="application/rss+xml"/><description>LLMs</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 25 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://nick-jhlee.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>LLMs</title><link>https://nick-jhlee.github.io/tags/llms/</link></image><item><title>Instance-Optimal Estimation with Multiple LLM Judges on a Budget</title><link>https://nick-jhlee.github.io/publications/arxiv26-adaptive-llm-judge/</link><pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/arxiv26-adaptive-llm-judge/</guid><description/></item><item><title>Learning to Reason in LLMs by Expectation Maximization</title><link>https://nick-jhlee.github.io/publications/arxiv25-em-reasoning/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/arxiv25-em-reasoning/</guid><description/></item><item><title>AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners</title><link>https://nick-jhlee.github.io/publications/neurips25/</link><pubDate>Thu, 22 May 2025 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/neurips25/</guid><description/></item></channel></rss>