<?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>🔀 MoE on Elon&#39;s AD Insight</title>
    <link>https://auto-driving-blog.vercel.app/tags/-moe/</link>
    <description>Recent content in 🔀 MoE on Elon&#39;s AD Insight</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Sun, 19 Jul 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://auto-driving-blog.vercel.app/tags/-moe/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>论文精读｜From Foundation to Application: Improving VLA Models in Practice（LingBot-VLA 2.0）</title>
      <link>https://auto-driving-blog.vercel.app/posts/paper-reading/%E8%AE%BA%E6%96%87%E7%B2%BE%E8%AF%BB-2607-06403/</link>
      <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
      <guid>https://auto-driving-blog.vercel.app/posts/paper-reading/%E8%AE%BA%E6%96%87%E7%B2%BE%E8%AF%BB-2607-06403/</guid>
      <description>蚂蚁 LingBot-VLA 2.0 在数据、动作空间、预测建模三个维度同时补课：6 万小时多本体预训练数据覆盖 9 种构型，全身自由度动作空间支持头部/腰部/底盘/灵巧手协同控制，双查询蒸馏赋予模型向前看的预测能力。Token 级稀疏 MoE 动作专家有效解耦多本体异构动力学。在 GM-100 双臂基准与长程移动操作上全面领先 π0.5。</description>
    </item>
  </channel>
</rss>
