<?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>Benchmarking on MLLog.dev</title><link>https://mllog.dev/en/tags/benchmarking/</link><description>Recent content in Benchmarking on MLLog.dev</description><image><title>MLLog.dev</title><url>https://mllog.dev/images/default_mllog.png</url><link>https://mllog.dev/images/default_mllog.png</link></image><generator>Hugo -- 0.147.9</generator><language>en</language><lastBuildDate>Wed, 15 Apr 2026 10:00:00 +0100</lastBuildDate><atom:link href="https://mllog.dev/en/tags/benchmarking/index.xml" rel="self" type="application/rss+xml"/><item><title>ClawGUI: A Full-Stack Open-Source Pipeline for GUI Agents</title><link>https://mllog.dev/en/posts/2026-04-15-clawgui-unified-framework-gui-agents/</link><pubDate>Wed, 15 Apr 2026 10:00:00 +0100</pubDate><guid>https://mllog.dev/en/posts/2026-04-15-clawgui-unified-framework-gui-agents/</guid><description>ClawGUI unifies online RL training, reproducible evaluation, and real-device deployment of GUI agents into one open-source pipeline — and shows a 2B model trained inside it can beat 72B untrained baselines on MobileWorld.</description></item></channel></rss>