<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Generalization on Maojiang Su</title><link>https://maojiangsu.github.io/tags/generalization/</link><description>Recent content in Generalization on Maojiang Su</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Sun, 07 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://maojiangsu.github.io/tags/generalization/index.xml" rel="self" type="application/rss+xml"/><item><title>In-Context Universal Approximation, Compositional Generalization, and Algorithm Emulation</title><link>https://maojiangsu.github.io/papers/scholar-yowf2qjgphmc/</link><pubDate>Sun, 07 Jun 2026 00:00:00 +0000</pubDate><guid>https://maojiangsu.github.io/papers/scholar-yowf2qjgphmc/</guid><description>Accepted at the International Conference on Machine Learning (ICML), 2026.</description></item></channel></rss>