<?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>🔗 Chain-of-Thought on Elon&#39;s AD Insight</title>
    <link>https://auto-driving-blog.vercel.app/tags/-chain-of-thought/</link>
    <description>Recent content in 🔗 Chain-of-Thought on Elon&#39;s AD Insight</description>
    <image>
      <title>Elon&#39;s AD Insight</title>
      <url>https://auto-driving-blog.vercel.app/images/share.png</url>
      <link>https://auto-driving-blog.vercel.app/images/share.png</link>
    </image>
    <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/-chain-of-thought/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>知识点拆解｜Chain-of-Thought 推理详解：让 VLA 学会&#39;先思考再行动&#39;</title>
      <link>https://auto-driving-blog.vercel.app/posts/knowledge/chain-of-thought%E6%8E%A8%E7%90%86%E8%AF%A6%E8%A7%A3/</link>
      <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
      <guid>https://auto-driving-blog.vercel.app/posts/knowledge/chain-of-thought%E6%8E%A8%E7%90%86%E8%AF%A6%E8%A7%A3/</guid>
      <description>CoT（思维链）让 VLA &amp;lsquo;想清楚再做&amp;rsquo;，将驾驶决策过程拆解为可解释的推理步骤。本文从 CoT 基础（Few-shot / Zero-shot / Self-consistency）出发，详解 DriveVLM 的场景描述→预测→推理→规划四阶段 CoT、WCog-VLA 的博弈论 Game-CoT、视觉 DCoT，以及 GRPO + CoT 联合训练的 AlphaDrive 范式。</description>
    </item>
  </channel>
</rss>
