<?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>Qwen on MessageDaily</title><link>https://inkeast.github.io/MessageDaily/tags/qwen/</link><description>Recent content in Qwen on MessageDaily</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 05 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://inkeast.github.io/MessageDaily/tags/qwen/index.xml" rel="self" type="application/rss+xml"/><item><title>Terminal-Universe 精读：把 Agent 轨迹逆向成可复用的训练环境</title><link>https://inkeast.github.io/MessageDaily/posts/2026-09-05-terminal-universe-paper-reading/</link><pubDate>Sat, 05 Sep 2026 00:00:00 +0000</pubDate><guid>https://inkeast.github.io/MessageDaily/posts/2026-09-05-terminal-universe-paper-reading/</guid><description>Qwen 团队×清华的 Terminal-Universe 通过回放轨迹中的文件操作逆向恢复环境，把海量 Agent 轨迹转化为 37.3k 个可重查询、可验证的终端环境，并沿广度（跨代码库任务）与深度（多轮需求迭代）两轴扩展。Qwen3.5-27B 微调后 Terminal-Bench 2.1 +11.9、多轮 EvoCode-Bench +13.8。本文基于全文阅读拆解环境重建管线与数据飞轮设计。</description></item></channel></rss>