{"id":32300,"date":"2025-08-20T17:32:35","date_gmt":"2025-08-20T09:32:35","guid":{"rendered":"http:\/\/192.168.10.115\/?p=32300"},"modified":"2025-08-20T17:32:35","modified_gmt":"2025-08-20T09:32:35","slug":"2025-08-20-%e5%a4%8d%e6%97%a6%e6%9c%80%e6%96%b0lmad%ef%bc%9a%e8%bf%88%e5%90%91%e5%8f%af%e8%a7%a3%e9%87%8a%e7%ab%af%e5%88%b0%e7%ab%afvlm","status":"publish","type":"post","link":"http:\/\/222.128.65.89:18086\/index.php\/2025\/08\/20\/32300\/","title":{"rendered":"2025-08-20 \u590d\u65e6\u6700\u65b0LMAD\uff1a\u8fc8\u5411\u53ef\u89e3\u91ca\u7aef\u5230\u7aefVLM~"},"content":{"rendered":"\n

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\u6982\u8ff0<\/strong><\/strong><\/strong><\/h2>\n\n\n\n

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<\/strong><\/strong>\u6838\u5fc3\u6311\u6218\u4e0e\u521b\u65b0<\/strong><\/strong><\/strong><\/h2>\n\n\n\n

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    \n
  1. \u573a\u666f\u7406\u89e3\u788e\u7247\u5316\uff1a\u4f9d\u8d56\u9a7e\u9a76\u7cfb\u7edf\u7684\u4e2d\u95f4\u7ed3\u679c\u6216\u7b80\u5355\u89c6\u89c9\u8868\u5f81\uff0c\u96be\u4ee5\u6355\u6349\u4ea4\u901a\u5143\u7d20\u95f4\u7684\u5173\u7cfb\uff0c\u65e0\u6cd5\u5f62\u6210\u6574\u4f53\u573a\u666f\u8ba4\u77e5\uff08figure 1a\uff09\u3002<\/li>\n\n\n\n
  2. \u7a7a\u95f4\u4e0e\u8fd0\u52a8\u611f\u77e5\u8584\u5f31\uff1a\u5728\u5b9a\u4f4d\u548c\u8fd0\u52a8\u4f30\u8ba1\u4e0a\u8868\u73b0\u4e0d\u8db3\uff0c\u63a8\u7406\u8fc7\u7a0b\u4e2d\u6613\u79ef\u7d2f\u8bef\u5dee\uff0c\u5bfc\u81f4\u9a7e\u9a76\u4efb\u52a1\u6027\u80fd\u4e0d\u4f73\u3002<\/li>\n<\/ol>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    LMAD\u7684\u521b\u65b0\u8bbe\u8ba1<\/strong><\/p>\n\n\n\n

    \u9488\u5bf9\u4e0a\u8ff0\u95ee\u9898\uff0cLMAD\u7684\u6838\u5fc3\u521b\u65b0\u5305\u62ec\uff1a<\/p>\n\n\n\n

      \n
    1. \u521d\u6b65\u573a\u666f\u4ea4\u4e92\uff08PI\uff09\u673a\u5236\uff1a\u5efa\u6a21\u4ea4\u901a\u53c2\u4e0e\u8005\u7684\u521d\u6b65\u5173\u7cfb\uff0c\u964d\u4f4eVLMs\u7684\u5b66\u4e60\u590d\u6742\u5ea6\u3002<\/li>\n\n\n\n
    2. \u4efb\u52a1\u4e13\u7528\u4e13\u5bb6\u7ed3\u6784\uff1a\u901a\u8fc7\u5e76\u884cLoRA\uff08P-LoRA\uff09\u6a21\u5757\uff0c\u4f7fVLMs\u4e13\u6ce8\u4e8e\u611f\u77e5\u3001\u9884\u6d4b\u3001\u89c4\u5212\u7b49\u7279\u5b9a\u4efb\u52a1\uff0c\u83b7\u53d6\u4efb\u52a1\u4e13\u5c5e\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    3. \u7aef\u5230\u7aef\u7cfb\u7edf\u96c6\u6210\uff1a\u878d\u5408\u7aef\u5230\u7aef\u9a7e\u9a76\u7cfb\u7edf\u7684\u5148\u9a8c\u77e5\u8bc6\uff0c\u8865\u5145VLMs\u7684\u7a7a\u95f4\u548c\u8fd0\u52a8\u4fe1\u606f\uff0c\u589e\u5f3a\u63a8\u7406\u80fd\u529b\uff08figure 1b\uff09\u3002<\/li>\n<\/ol>\n\n\n\n

      <\/strong><\/strong>\u65b9\u6cd5\u7ec6\u8282<\/strong><\/strong><\/strong><\/h2>\n\n\n\n

      \u6574\u4f53\u6846\u67b6<\/strong><\/h3>\n\n\n\n

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        \n
      • \u89c6\u89c9\u8bed\u8a00\u6a21\u578b\uff1a\u542b\u89c6\u89c9\u7f16\u7801\u5668\uff08\u63d0\u53d6\u56fe\u50cftokens\uff09\u3001\u5206\u8bcd\u5668\uff08\u7f16\u7801\u6587\u672ctokens\uff09\u3001\u8bed\u8a00\u89e3\u7801\u5668\uff08\u751f\u6210\u54cd\u5e94\uff09\u3002<\/li>\n\n\n\n
      • PI\u7f16\u7801\u5668\uff1a\u5904\u7406\u591a\u89c6\u56fe\u56fe\u50cf\uff0c\u5efa\u6a21\u573a\u666f\u5173\u7cfb\u3002<\/li>\n\n\n\n
      • \u5e76\u884cLoRA\u6a21\u5757\uff1a\u6574\u5408\u4efb\u52a1\u4e13\u7528\u77e5\u8bc6\uff0c\u9002\u914d\u4e0d\u540c\u9a7e\u9a76\u4efb\u52a1\uff08figure 2\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
        \"\"<\/figure>\n\n\n\n
        \"\"<\/figure>\n\n\n\n

        2. \u5e76\u884cLoRA\uff08P-LoRA\uff09\u5fae\u8c03<\/strong><\/h4>\n\n\n\n

        \u4e3a\u4f7fVLMs\u9002\u914d\u591a\u6837\u5316\u9a7e\u9a76\u4efb\u52a1\uff0cP-LoRA\u5728FFN\u5757\u4e2d\u66ff\u6362\u4f20\u7edfLoRA\u4e3a\u591a\u4e2a\u5e76\u884c\u5206\u652f\uff0c\u6bcf\u4e2a\u5206\u652f\u5bf9\u5e94\u611f\u77e5\u3001\u9884\u6d4b\u6216\u89c4\u5212\u4efb\u52a1\uff08figure 3b\uff09\uff1a<\/p>\n\n\n\n

          \n
        • \u6ce8\u610f\u529b\u5757\u4e2d\u7684LoRA\u4fdd\u6301\u5171\u4eab\uff0c\u4fdd\u7559\u901a\u7528\u9a7e\u9a76\u77e5\u8bc6\u3002<\/li>\n\n\n\n
        • \u63a8\u7406\u65f6\u7ed3\u5408Chain-of-Thought\uff08CoT\uff09\u6280\u672f\uff0c\u6309\u7aef\u5230\u7aef\u65b9\u6cd5\u9010\u6b65\u8f93\u51fa\u7ed3\u679c\u3002<\/li>\n<\/ul>\n\n\n\n

          \u4e0e\u7aef\u5230\u7aef\u9a7e\u9a76\u7cfb\u7edf\u7684\u96c6\u6210<\/strong><\/p>\n\n\n\n

          \"\"<\/figure>\n\n\n\n

          \u8bad\u7ec3\u7b56\u7565<\/strong><\/p>\n\n\n\n

          \"\"<\/figure>\n\n\n\n

          \u5b9e\u9a8c\u9a8c\u8bc1<\/strong><\/strong><\/strong><\/h2>\n\n\n\n

          \u5b9e\u9a8c\u8bbe\u7f6e<\/strong><\/h3>\n\n\n\n
            \n
          • \u6570\u636e\u96c6\uff1a\u91c7\u7528DriveLM\uff08377,956\u4e2aQA\u5bf9\uff0c\u6db5\u76d6\u611f\u77e5\u5230\u89c4\u5212\u7684\u6e10\u8fdb\u5f0f\u4efb\u52a1\uff09\u548cnuScenes-QA\uff08\u7ea6460k\u4e2aQA\u5bf9\uff0c\u805a\u7126\u611f\u77e5\u4efb\u52a1\uff09\u3002<\/li>\n\n\n\n
          • \u57fa\u7ebf\u6a21\u578b\uff1aLLaMA-Adapter\u3001LLaVA-1.5\u3001InternVL2\uff0c\u7aef\u5230\u7aef\u6846\u67b6\u91c7\u7528VAD-base\u3002<\/li>\n\n\n\n
          • \u8bad\u7ec3\u7ec6\u8282\uff1a\u4f7f\u7528AdamW\u4f18\u5316\u5668\uff08\u6743\u91cd\u8870\u51cf0.01\uff09\uff0c\u4f59\u5f26\u5b66\u4e60\u7387\u8c03\u5ea6\uff08\u9884\u70ed\u6bd40.03\uff09\uff0c8\u5f20A6000 GPU\u4e0a\u4ee5 batch size 16\u8bad\u7ec32\u4e2aepoch\u3002<\/li>\n<\/ul>\n\n\n\n

            \u4e3b\u8981\u7ed3\u679c<\/strong><\/h3>\n\n\n\n
              \n
            1. DriveLM\u57fa\u51c6\u6d4b\u8bd5\uff1aLMAD\u663e\u8457\u63d0\u5347\u6240\u6709\u57fa\u7ebfVLMs\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0cLLaMA-Adapter\u7684\u51c6\u786e\u7387\u63d0\u53473.44%\uff0cGPT\u5f97\u5206\u63d0\u53473.89%\uff1b\u5373\u4f7f\u662f\u5f3a\u57fa\u7ebfInternVL2\uff0c\u6574\u4f53\u6307\u6807\u4ecd\u6709\u6539\u5584\uff08table 1\uff09\u3002\u4e0e\u73b0\u6709\u65b9\u6cd5\u76f8\u6bd4\uff0cLMAD\u5728BLEU4\u3001ROUGE L\u7b49\u6307\u6807\u4e0a\u8868\u73b0\u6700\u4f18\uff08table 2\uff09\u3002<\/li>\n<\/ol>\n\n\n\n
              \"\"<\/figure>\n\n\n\n
              \"\"<\/figure>\n\n\n\n
              \"\"<\/figure>\n\n\n\n

              \u6d88\u878d\u7814\u7a76<\/strong><\/h3>\n\n\n\n
                \n
              • \u7ec4\u4ef6\u6709\u6548\u6027\uff1aPI\u7f16\u7801\u5668\u3001P-LoRA\u548c\u7aef\u5230\u7aeftokens\u7684\u534f\u540c\u4f5c\u7528\u663e\u8457\u63d0\u5347\u6027\u80fd\uff0c\u5168\u7ec4\u4ef6\u914d\u7f6e\uff08ID5\uff09\u7684\u6700\u7ec8\u5f97\u5206\u6700\u9ad8\uff0857.17\uff09\uff08table 4\uff09\u3002<\/li>\n\n\n\n
              • P-LoRA\u8bbe\u8ba1\uff1a\u4efb\u52a1\u5bfc\u5411\u7684P-LoRA\uff08\u611f\u77e5\u3001\u9884\u6d4b\u3001\u89c4\u5212\u5206\u652f\uff09\u5728\u5404\u9879\u6307\u6807\u4e0a\u8868\u73b0\u5747\u8861\uff0c\u4f18\u4e8e\u95ee\u9898\u5bfc\u5411\u548c\u5206\u5c42\u6a21\u5f0f\uff08table 5\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
                \"\"<\/figure>\n\n\n\n

                \u7aef\u5230\u7aeftokens\u4f5c\u7528\uff1a\u611f\u77e5tokens\u5bf9\u884c\u4e3a\u89e3\u91ca\u6700\u5173\u952e\uff0c\u52a0\u5165\u9884\u6d4b\u548c\u89c4\u5212tokens\u540e\uff0c\u51c6\u786e\u6027\u548c\u4ea4\u4e92\u5173\u7cfb\u5efa\u6a21\u8fdb\u4e00\u6b65\u63d0\u5347\uff08table 6\uff09\u3002<\/p>\n\n\n\n

                \"\"<\/figure>\n\n\n\n

                \u5b9a\u6027\u5206\u6790<\/strong><\/p>\n\n\n\n

                  \n
                • \u611f\u77e5\u4efb\u52a1\uff1a\u501f\u52a9\u89c4\u5212\u7ed3\u679c\u4e2d\u7684\u4f4d\u7f6e\u5148\u9a8c\uff0cLMAD\u80fd\u51c6\u786e\u8bc6\u522b\u591a\u6570\u5173\u952e\u76ee\u6807\uff0c\u4f46\u5bf9\u201c\u7981\u6b62\u8fdb\u5165\u201d\u7b49\u4e0d\u660e\u663e\u6807\u8bc6\u4ecd\u6709\u56f0\u96be\u3002<\/li>\n\n\n\n
                • \u9884\u6d4b\u4efb\u52a1\uff1a\u805a\u7126\u5bf9ego\u884c\u4e3a\u5f71\u54cd\u5927\u7684\u76ee\u6807\uff08\u5982\u4ea4\u901a\u6807\u5fd7\uff09\uff0c\u5373\u4f7f\u9884\u6d4b\u76ee\u6807\u4e0e\u771f\u503c\u4e0d\u540c\uff0c\u4ecd\u80fd\u5408\u7406\u5f71\u54cd\u540e\u7eed\u89c4\u5212\u3002<\/li>\n\n\n\n
                • \u89c4\u5212\u4efb\u52a1\uff1a\u7ed3\u5408\u5386\u53f2\u4e0a\u4e0b\u6587\u548c\u7aef\u5230\u7aef\u7ed3\u679c\uff0c\u8f93\u51fa\u7b26\u5408\u5f53\u524d\u73af\u5883\u7684\u9a7e\u9a76\u884c\u4e3a\uff08figure 4\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
                  \"\"<\/figure>\n\n\n\n

                  \u53c2\u8003<\/strong><\/p>\n\n\n\n

                  [1]LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving<\/p>\n","protected":false},"excerpt":{"rendered":"

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