{"id":26160,"date":"2025-06-03T09:51:50","date_gmt":"2025-06-03T01:51:50","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=26160"},"modified":"2025-06-03T09:51:50","modified_gmt":"2025-06-03T01:51:50","slug":"gpt-4o-image%e4%bb%85%e5%ae%8c%e6%88%9028-9%e4%bb%bb%e5%8a%a1%ef%bc%81%e4%b8%8a%e6%b5%b7ai%e5%ae%9e%e9%aa%8c%e5%ae%a4%e7%ad%89%e5%8f%91%e5%b8%83%e5%9b%be%e5%83%8f%e7%bc%96%e8%be%91%e6%96%b0%e5%9f%ba","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/06\/03\/26160\/","title":{"rendered":"GPT-4o-Image\u4ec5\u5b8c\u621028.9%\u4efb\u52a1\uff01\u4e0a\u6d77AI\u5b9e\u9a8c\u5ba4\u7b49\u53d1\u5e03\u56fe\u50cf\u7f16\u8f91\u65b0\u57fa\u51c6\uff0c360\u9053\u4eba\u7c7b\u4e13\u5bb6\u4e25\u9009\u96be\u9898"},"content":{"rendered":"
<\/div>\n
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3D rendering artificial intelligence AI research of robot and cyborg development for future of people living. Digital data mining and machine learning technology design for computer brain.<\/figcaption><\/figure>\n<\/div>\n
360\u4e2a\u5168\u90e8\u7531\u4eba\u7c7b\u4e13\u5bb6\u4ed4\u7ec6\u601d\u8003\u5e76\u6821\u5bf9\u7684\u9ad8\u8d28\u91cf\u6d4b\u8bd5\u6848\u4f8b\uff0c\u66b4\u9732\u591a\u6a21\u6001\u6a21\u578b\u5728\u7ed3\u5408\u63a8\u7406\u80fd\u529b\u8fdb\u884c\u56fe\u50cf\u7f16\u8f91\u65f6\u7684\u77ed\u677f\u3002<\/div>\n
\n
\n

GPT-4o-Image\u4e5f\u53ea\u80fd\u5b8c\u621028.9%\u7684\u4efb\u52a1\uff0c\u56fe\u50cf\u7f16\u8f91\u8bc4\u6d4b\u65b0\u57fa\u51c6\u6765\u4e86\uff01<\/p>\n

360\u4e2a\u5168\u90e8\u7531\u4eba\u7c7b\u4e13\u5bb6\u4ed4\u7ec6\u601d\u8003\u5e76\u6821\u5bf9<\/strong>\u7684\u9ad8\u8d28\u91cf\u6d4b\u8bd5\u6848\u4f8b\uff0c\u66b4\u9732\u591a\u6a21\u6001\u6a21\u578b\u5728\u7ed3\u5408\u63a8\u7406\u80fd\u529b\u8fdb\u884c\u56fe\u50cf\u7f16\u8f91\u65f6\u7684\u77ed\u677f\u3002<\/p>\n

\"\u56fe\u7247\"<\/p>\n

\u6700\u8fd1\uff0c\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u8054\u624b\u4e0a\u6d77\u4ea4\u5927\u3001\u540c\u6d4e\u5927\u5b66\u3001\u6b66\u6c49\u5927\u5b66\u3001\u666e\u6797\u65af\u987f\u5927\u5b66\u7684\u7814\u7a76\u4eba\u5458\uff0c\u9488\u5bf9\u56fe\u50cf\u7f16\u8f91AI\u63d0\u51fa\u4e86\u4e09\u4e2a\u95ee\u9898\uff1a<\/p>\n

    \n
  • \u73b0\u6709\u7684\u56fe\u50cf\u7f16\u8f91\u8bc4\u6d4b\u57fa\u51c6\u662f\u5426\u5df2\u7ecf\u65e0\u6cd5\u8ddf\u4e0a\u65f6\u4ee3\u7684\u6b65\u4f10\uff1f<\/li>\n
  • \u4ec5\u4ec5\u505c\u7559\u5728\u201c\u66f4\u6362\u989c\u8272\u201d\u7b49\u6539\u53d8\u7269\u4f53\u8868\u5c42\u5c5e\u6027\u7684\u6d4b\u8bd5\uff0c\u662f\u5426\u5df2\u663e\u5f97\u8fc7\u4e8e\u7b80\u5355\uff0c\u65e0\u6cd5\u771f\u6b63\u8861\u91cfAI\u7684\u201c\u6df1\u5ea6\u7406\u89e3\u201d\u80fd\u529b\uff1f<\/li>\n
  • \u5f53\u6307\u4ee4\u53d8\u5f97\u66f4\u52a0\u590d\u6742\uff0c\u6d89\u53ca\u56fe\u7247\u80cc\u540e\u7684\u903b\u8f91\u3001\u4e0a\u4e0b\u6587\u5173\u8054\u751a\u81f3\u9690\u542b\u610f\u56fe\u65f6\uff0c\u73b0\u6709\u6a21\u578b\u80fd\u5426\u6b63\u786e\u201c\u9886\u4f1a\u201d\u5e76\u7cbe\u51c6\u6267\u884c\uff0c\u540c\u65f6\u4fdd\u8bc1\u751f\u6210\u56fe\u50cf\u7684\u8d28\u91cf\u548c\u4e0e\u539f\u56fe\u7684\u81ea\u7136\u4e00\u81f4\u6027\uff1f<\/li>\n<\/ul>\n

    \u4e3a\u4e86\u586b\u8865\u8fd9\u4e00\u7a7a\u767d\uff0c\u6df1\u5ea6\u6316\u6398\u5e76\u5ba2\u89c2\u8bc4\u4f30\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u5728\u7406\u89e3\u590d\u6742\u6307\u4ee4\u65b9\u9762\u7684\u80fd\u529b\u4e0a\u9650\uff0c\u56e2\u961f\u63a8\u51fa\u4e86\u4e00\u9879\u5168\u65b0\u4efb\u52a1\u2014\u2014Reasoning-Informed ViSual Editing\u00a0\uff08RISE\uff09\u3002<\/p>\n

    \u53e6\u5916\uff0c\u4ed6\u4eec\u8fd8\u914d\u5957\u53d1\u5e03\u4e86\u4e00\u4e2a\u9ad8\u8d28\u91cf\u8bc4\u6d4b\u57fa\u51c6\u2014\u2014RISEBench\uff0c\u8986\u76d6\u65f6\u95f4\u3001\u56e0\u679c\u3001\u7a7a\u95f4\u3001\u903b\u8f91\u56db\u79cd\u6838\u5fc3\u63a8\u7406\u7c7b\u578b\uff0c\u6bcf\u4e2a\u6848\u4f8b\u5305\u542b\u539f\u56fe\u548c\u7f16\u8f91\u6307\u4ee4\u3002<\/p>\n

    \"\u56fe\u7247\"<\/p>\n

    \u4f8b\u5982\u8f93\u5165\u4e00\u5f20\u56fe\u50cf\uff0c\u5c55\u793a\u4e86\u4e00\u7247\u8349\u5730\u4e0a\u6709\u7247\u67af\u53f6\uff0c\u4e0a\u65b9\u6709\u4e2a\u653e\u5927\u955c\uff0c\u4efb\u52a1\u6307\u4ee4\u4e3a\u201c\u753b\u51fa\u8be5\u573a\u666f\u5728\u590f\u592930\u79d2\u540e\u7684\u6a21\u6837\u201d\u3002<\/p>\n

    \"\u56fe\u7247\"<\/p>\n

    \u56e2\u961f\u6d4b\u8bd5\u4e86\u5f53\u524d\u6027\u80fd\u9886\u5148\u7684\u4e5d\u4e2a\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\uff0c\u5b9e\u9a8c\u6d4b\u8bd5\u7ed3\u679c\u4ee4\u4eba\u610f\u5916\uff1a<\/p>\n

    \u5373\u4f7f\u662f\u6700\u5f3a\u7684GPT-4o-Image\uff0c\u5728\u590d\u6742\u89c6\u89c9\u7f16\u8f91\u4efb\u52a1\u4e2d\u7684\u51c6\u786e\u7387\u4e5f\u4ec5\u4e3a28.9%\uff0c\u6700\u5f3a\u7684\u5f00\u6e90\u6a21\u578bBAGEL\u4ec5\u80fd\u5b8c\u62105.8%\u7684\u4efb\u52a1\uff0c\u5176\u5b83\u88ab\u6d4b\u5f00\u6e90\u6a21\u578b\u5b8c\u6210\u7387\u51e0\u4e4e\u4e3a\u96f6\uff0c\u663e\u793a\u51fa\u5f53\u524d\u5f00\u6e90\u6a21\u578b\u4e0e\u95ed\u6e90\u6a21\u578b\u5728\u89c6\u89c9\u7406\u89e3\u80fd\u529b\u4e0a\u7684\u5dee\u8ddd\u3002<\/p>\n

    \u4ee5\u4e0b\u662f\u66f4\u591a\u7ec6\u8282\u3002<\/p>\n

    RISEBench\u957f\u5565\u6837\uff1f<\/h2>\n

    \u4e0e\u4f20\u7edf\u8bc4\u6d4b\u57fa\u51c6\u4e0d\u540c\uff0cRISEBench\u65e8\u5728\u8bc4\u4f30\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u5728\u5404\u7c7b\u9700\u8981\u6df1\u5c42\u7406\u89e3\u7684\u6307\u4ee4\u4e0a\u7684\u6027\u80fd\u3002\u5b83\u4e0d\u4ec5\u4ec5\u505c\u7559\u5728\u8868\u9762\u4fee\u6539\uff0c\u66f4\u6df1\u5165\u5730\u63a2\u7d22\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u5bf9\u65f6\u95f4\u3001\u56e0\u679c\u3001\u7a7a\u95f4\u548c\u903b\u8f91\u7b49\u590d\u6742\u6982\u5ff5\u7684\u628a\u63e1\u3002<\/p>\n

    \"\u56fe\u7247\"<\/p>\n

    RISEBench\u7cbe\u5fc3\u8bbe\u8ba1\u4e86360\u9053\u9ad8\u96be\u5ea6\u95ee\u9898\uff0c\u5168\u90e8\u7531\u4eba\u7c7b\u4e13\u5bb6\u4ed4\u7ec6\u601d\u8003\u5e76\u6821\u5bf9\uff0c\u786e\u4fdd\u4e86\u95ee\u9898\u7684\u4e25\u8c28\u6027\u548c\u6311\u6218\u6027\u3002\u8fd9\u4e9b\u9898\u76ee\u88ab\u5212\u5206\u4e3a\u56db\u5927\u6838\u5fc3\u7c7b\u522b\uff0c\u65e8\u5728\u5168\u9762\u8003\u9a8c\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\uff1a<\/p>\n

      \n
    • Temporal Reasoning(\u65f6\u95f4\u63a8\u7406)\uff1a \u8003\u9a8c\u6a21\u578b\u5bf9\u65f6\u95f4\u7ebf\u7d22\u7684\u7406\u89e3\u548c\u672a\u6765\/\u8fc7\u53bb\u72b6\u6001\u7684\u9884\u6d4b\u3002<\/li>\n
    • Causal Reasoning(\u56e0\u679c\u63a8\u7406)\uff1a \u8bc4\u4f30\u6a21\u578b\u80fd\u5426\u7406\u89e3\u5404\u7c7b\u52a8\u4f5c\uff08\u78b0\u649e\uff0c\u70b9\u71c3\uff0c\u7269\u7406\u5316\u5b66\u53cd\u5e94\u7b49\uff09\u4e0e\u7ed3\u679c\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/li>\n
    • Spatial\u00a0Reasoning(\u7a7a\u95f4\u63a8\u7406)\uff1a \u6311\u6218\u6a21\u578b\u5bf9\u7269\u4f53\u7a7a\u95f4\u4f4d\u7f6e\u3001\u5173\u7cfb\u3001\u89c6\u89d2\u53d8\u6362\u7b49\u60f3\u8c61\u80fd\u529b\u7684\u638c\u63e1\u3002<\/li>\n
    • Logical Reasoning(\u903b\u8f91\u63a8\u7406)\uff1a \u8861\u91cf\u6a21\u578b\u5bf9\u62bd\u8c61\u89c4\u5219\u3001\u6570\u5b66\u8fd0\u7b97\u3001\u903b\u8f91\u5173\u7cfb\u7684\u63a8\u65ad\u80fd\u529b\u3002<\/li>\n<\/ul>\n

      \u4e3a\u4e86\u786e\u4fdd\u8bc4\u4f30\u7684\u5168\u9762\u6027\u548c\u6cdb\u5316\u6027\uff0cRISEBench\u7684\u8f93\u5165\u56fe\u50cf\u6765\u6e90\u5e7f\u6cdb\uff0c\u5305\u62ec\u4e92\u8054\u7f51\u6570\u636e\u3001\u5df2\u6709\u57fa\u51c6\u3001\u6a21\u578b\u751f\u6210\u56fe\u50cf\u4ee5\u53ca\u4ee3\u7801\u751f\u6210\u56fe\u50cf\u7b49\u591a\u4e2a\u4e0d\u540c\u5206\u5e03\u7684\u6570\u636e\u6e90\u3002<\/p>\n

      \u8fd9\u79cd\u591a\u6e90\u5f02\u6784\u7684\u8bbe\u8ba1\uff0c\u80fd\u591f\u5e7f\u6cdb\u7ec6\u81f4\u5730\u8003\u9a8c\u6a21\u578b\u5bf9\u4e0d\u540c\u8f93\u5165\u56fe\u50cf\u548c\u6307\u4ee4\u7684\u5e94\u5bf9\u80fd\u529b\uff0c\u907f\u514d\u6a21\u578b\u5728\u7279\u5b9a\u6570\u636e\u5206\u5e03\u4e0a\u8fc7\u62df\u5408\u3002<\/p>\n

      \"\u56fe\u7247\"<\/p>\n

      \u81ea\u52a8\u5316\u7684\u7ec6\u7c92\u5ea6\u8bc4\u4f30\u4f53\u7cfb<\/h2>\n

      \u4e3a\u4e86\u7cbe\u51c6\u3001\u9ad8\u6548\u5730\u8bc4\u5224\u6a21\u578b\u8f93\u51fa\u662f\u5426\u7b26\u5408\u8981\u6c42\uff0c\u4f5c\u8005\u56e2\u961f\u5c06\u6574\u4f53\u8bc4\u4f30\u62c6\u5206\u6210\u4e86\u4e09\u4e2a\u5173\u952e\u5b50\u7ef4\u5ea6\uff0c\u5e76\u91c7\u7528\u524d\u6cbf\u7684\u591a\u6a21\u6001\u5927\u6a21\u578b\u4f5c\u4e3a\u8bc4\u5224\u4e13\u5bb6\uff08LMM-as-Judge\uff09\u7684\u65b9\u5f0f\uff0c\u4f7f\u7528GPT-4.1\u4f5c\u4e3a\u8bc4\u4f30\u6a21\u578b\u5bf9\u6bcf\u4e2a\u7ef4\u5ea6\u8fdb\u884c\u6253\u5206\uff0c\u786e\u4fdd\u8bc4\u4f30\u7684\u5ba2\u89c2\u6027\u548c\u4e00\u81f4\u6027\u3002<\/p>\n

      1\u3001Instruction Reasoning(\u6307\u4ee4\u7406\u89e3)\uff1a \u8003\u6838\u6a21\u578b\u662f\u5426\u51c6\u786e\u7406\u89e3\u4e86\u6307\u4ee4\u7684\u6df1\u5c42\u542b\u4e49\u3002<\/p>\n

        \n
      • \u5bf9\u4e8e\u8f93\u51fa\u7ed3\u679c\u53ef\u7528\u6587\u5b57\u51c6\u786e\u63cf\u8ff0\u7684\u6307\u4ee4\uff0c\u8bc4\u4f30\u6a21\u578b\u4f1a\u5224\u65ad\u751f\u6210\u56fe\u50cf\u4e0e\u7ed9\u5b9a\u6587\u672c\u7b54\u6848\u662f\u5426\u5339\u914d\u3002<\/li>\n
      • \u5bf9\u4e8e\u6700\u7ec8\u8f93\u51fa\u96be\u4ee5\u7528\u6587\u5b57\u63cf\u8ff0\u7684\u590d\u6742\u6307\u4ee4\uff0c\u6211\u4eec\u9488\u5bf9\u6027\u5730\u63d0\u4f9b\u4e86\u7528\u4e8e\u53c2\u8003\u7684\u56fe\u50cf\u56de\u7b54\uff0c\u8bc4\u4f30\u6a21\u578b\u5c06\u5224\u65ad\u751f\u6210\u56fe\u50cf\u662f\u5426\u4e0e\u53c2\u8003\u56fe\u50cf\u76f8\u5339\u914d\u3002<\/li>\n<\/ul>\n

        2\u3001Appearance Consistency(\u5916\u89c2\u4e00\u81f4\u6027)\uff1a \u8bc4\u4f30\u751f\u6210\u56fe\u50cf\u4e0e\u539f\u56fe\u5728\u80cc\u666f\u4ee5\u53ca\u98ce\u683c\u3001\u7eb9\u7406\u7b49\u4e0e\u6307\u4ee4\u65e0\u5173\u7684\u89c6\u89c9\u5143\u7d20\u4e0a\u7684\u4e00\u81f4\u6027\uff0c\u786e\u4fdd\u7f16\u8f91\u81ea\u7136\u3002<\/p>\n

        3\u3001Visual Plausibility(\u89c6\u89c9\u5408\u7406\u6027)\uff1a \u8861\u91cf\u751f\u6210\u56fe\u50cf\u7684\u6574\u4f53\u89c6\u89c9\u8d28\u91cf\u3001\u771f\u5b9e\u611f\u548c\u89c6\u89c9\u5408\u7406\u6027\uff0c\u907f\u514d\u51fa\u73b0\u4e0d\u81ea\u7136\u6216\u5931\u771f\u7684\u6548\u679c\u3002<\/p>\n

        \u6bcf\u4e2a\u7ef4\u5ea6\u5747\u4e3a1-5\u5206\uff0c\u5f53\u4e09\u4e2a\u7ef4\u5ea6\u5747\u4e3a\u6ee1\u5206\u65f6\u6807\u8bb0\u4e3a\u5b8c\u6210\u4e86\u7f16\u8f91\u4efb\u52a1\u3002\u8fd9\u79cd\u7ec6\u7c92\u5ea6\u7684\u8bc4\u4f30\u8bbe\u8ba1\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u6253\u5206\u4e0e\u4eba\u7c7b\u5224\u65ad\u7684\u5bf9\u9f50\u7a0b\u5ea6\uff0c\u4e3a\u672a\u6765\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u7684\u53d1\u5c55\u63d0\u4f9b\u4e86\u66f4\u52a0\u53ef\u9760\u548c\u516c\u6b63\u7684\u8bc4\u4f30\u4f53\u7cfb\u3002<\/p>\n

        \"\u56fe\u7247\"<\/p>\n

        \u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u7406\u89e3\u80fd\u529b\u8fdc\u672a\u53ca\u683c<\/h2>\n

        \u4f5c\u8005\u56e2\u961f\u5bf9\u8fd1\u671f\u5907\u53d7\u5173\u6ce8\u7684\u591a\u4e2a\u95ed\u6e90\u53ca\u5f00\u6e90\u6a21\u578b\u8fdb\u884c\u4e86\u4e25\u683c\u8bc4\u4f30\uff0c\u5305\u62ecGPT-4o-Image\u3001Gemini-Flash-2.0-Series\u00a0(Experimental & Preview)\u3001HiDream-Edit\u4ee5\u53ca\u5f00\u6e90\u6a21\u578bBAGEL\u3001Step1X-Edit\u3001OmniGen\u3001EMU2\u3001Flux.1\u3002<\/p>\n

        \u7ed3\u679c\u4ee4\u4eba\u6df1\u601d\uff1a<\/p>\n

          \n
        • \u5168\u9762\u6b20\u7f3a\uff1a \u6d4b\u8bc4\u7ed3\u679c\u660e\u786e\u6307\u51fa\uff0c\u5f53\u524d\u7684\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u5728\u5b8c\u6210\u590d\u6742\u6307\u4ee4\u65b9\u9762\u4ecd\u5b58\u5728\u76f8\u5f53\u5927\u7684\u6b20\u7f3a\u3002\u5b83\u4eec\u8ddd\u79bb\u771f\u6b63\u201c\u8bfb\u61c2\u201d\u7528\u6237\u7684\u6df1\u5c42\u610f\u56fe\uff0c\u8fd8\u6709\u5f88\u957f\u7684\u8def\u8981\u8d70\u3002<\/li>\n
        • GPT-4o-Image\u4e00\u9a91\u7edd\u5c18\uff0c\u4f46\u4ecd\u8fdc\u4f4e\u4e8e\u9884\u671f\uff1a \u5373\u4f7f\u662f\u76ee\u524d\u516c\u8ba4\u6700\u5f3a\u7684\u95ed\u6e90\u6a21\u578bGPT-4o-Image\uff0c\u5728RISEBench\u4e0a\u4e5f\u4ec5\u4ec5\u53ea\u80fd\u5b8c\u7f8e\u5b8c\u621028.9%\u7684\u4efb\u52a1\u3002<\/li>\n
        • \u95ed\u6e90\u4e0e\u5f00\u6e90\u5dee\u8ddd\u663e\u8457\uff1a \u6392\u540d\u7b2c\u4e8c\u3001\u7b2c\u4e09\u7684Gemini-Flash-2.0-Experimental\u548cGemini-Flash-2.0-Preview\uff0c\u5206\u522b\u4ec5\u80fd\u5b8c\u621013.3%\u548c9.4%\u7684\u4efb\u52a1\uff0c\u4e0eGPT-4o-Image\u4e4b\u95f4\u5b58\u5728\u7740\u660e\u663e\u7684\u4ee3\u9645\u5dee\u8ddd\u3002\u66f4\u4ee4\u4eba\u62c5\u5fe7\u7684\u662f\uff0c\u6700\u5f3a\u7684\u5f00\u6e90\u6a21\u578bBAGEL\u4ec5\u80fd\u5b8c\u62105.8%\u7684\u4efb\u52a1\uff0c\u8fd9\u5f70\u663e\u51fa\u5f53\u524d\u5f00\u6e90\u6a21\u578b\u4e0e\u95ed\u6e90\u6a21\u578b\u4e4b\u95f4\u5728\u89c6\u89c9\u7406\u89e3\u80fd\u529b\u4e0a\u7684\u5de8\u5927\u9e3f\u6c9f\u3002 \u5176\u4ed6\u88ab\u6d4b\u6a21\u578b\u7684\u5b8c\u6210\u7387\u51e0\u4e4e\u4e3a\u96f6\uff0c\u66b4\u9732\u51fa\u5176\u8584\u5f31\u7684\u7406\u89e3\u80fd\u529b\u3002<\/li>\n<\/ul>\n

          \"\u56fe\u7247\"<\/p>\n

          \u4e3a\u4e86\u66f4\u6df1\u5165\u5730\u5206\u6790\u5404\u6a21\u578b\u7684\u8868\u73b0\uff0c\u7814\u7a76\u56e2\u961f\u8fd8\u7edf\u8ba1\u4e86\u6bcf\u4e2a\u6a21\u578b\u5728\u6307\u4ee4\u7406\u89e3\uff08Instruction Reasoning\uff09\u3001\u5916\u89c2\u4e00\u81f4\u6027\uff08Appearance Consistency\uff09\u548c\u89c6\u89c9\u5408\u7406\u6027\uff08Visual Plausibility\uff09\u8fd9\u4e09\u4e2a\u8bc4\u4f30\u7ef4\u5ea6\u4e0a\u7684\u5e73\u5747\u5f97\u5206\uff0c\u63ed\u793a\u4e86\u5176\u77ed\u677f\u6240\u5728\u3002<\/p>\n

          \u7ed3\u679c\u8868\u660e\uff1a<\/p>\n

            \n
          • \u9886\u5148\u8005\u5168\u9762\u53d1\u5c55\uff1a GPT\u548cGemini\u7cfb\u5217\u6a21\u578b\u5728\u6240\u6709\u4e09\u4e2a\u7ef4\u5ea6\u4e0a\u90fd\u5c55\u73b0\u51fa\u4e86\u76f8\u5bf9\u8f83\u9ad8\u7684\u6c34\u51c6\uff0c\u56e0\u6b64\u5728\u6574\u4f53\u4efb\u52a1\u5b8c\u6210\u5ea6\u4e0a\u8868\u73b0\u76f8\u5bf9\u66f4\u4f73\u3002<\/li>\n
          • \u5f00\u6e90\u6a21\u578b\u77ed\u677f\u660e\u663e\uff1a BAGEL\u867d\u7136\u5728\u6307\u4ee4\u7406\u89e3\u80fd\u529b\u4e0a\u4ec5\u6b21\u4e8eGPT\u548cGemini\uff0c\u4f46\u5728\u751f\u6210\u56fe\u50cf\u7684\u89c6\u89c9\u5408\u7406\u6027\u4e0a\u5f97\u5206\u8f83\u4f4e\uff0c\u8fd9\u610f\u5473\u7740\u5176\u8f93\u51fa\u56fe\u50cf\u5f80\u5f80\u5b58\u5728\u66f4\u591a\u7684\u5931\u771f\u6216\u6a21\u7cca\u73b0\u8c61\uff0c\u5f71\u54cd\u4e86\u6700\u7ec8\u5f97\u5206\u3002<\/li>\n
          • \u5404\u6709\u4fa7\u91cd\uff0c\u4f46\u5747\u6709\u7f3a\u9677\uff1a HiDream-Edit\u867d\u7136\u5177\u5907\u90e8\u5206\u7406\u89e3\u80fd\u529b\uff0c\u4f46\u5728\u4fdd\u6301\u8f93\u51fa\u56fe\u50cf\u5185\u5bb9\u4e00\u81f4\u6027\u4e0a\u8868\u73b0\u8f83\u5dee\uff0c\u5bb9\u6613\u51fa\u73b0\u4e0e\u539f\u56fe\u8131\u8282\u7684\u60c5\u51b5\u3002Step1X-Edit\u867d\u7136\u80fd\u751f\u6210\u8f83\u9ad8\u89c6\u89c9\u5408\u7406\u6027\u7684\u56fe\u50cf\uff0c\u4f46\u5176\u6307\u4ee4\u7406\u89e3\u80fd\u529b\u548c\u4e00\u81f4\u6027\u8868\u73b0\u5747\u8f83\u4f4e\u3002<\/li>\n
          • \u7406\u89e3\u529b\u6210\u4e3a\u51b3\u5b9a\u6027\u56e0\u7d20\uff1a \u5176\u4ed6\u6a21\u578b\u7531\u4e8e\u51e0\u4e4e\u5b8c\u5168\u6ca1\u6709\u7406\u89e3\u80fd\u529b\uff0c\u4e14\u5728\u4fdd\u6301\u4e00\u81f4\u6027\u65b9\u9762\u4e5f\u8868\u73b0\u4e0d\u4f73\uff0c\u6700\u7ec8\u5bfc\u81f4\u5176\u6574\u4f53\u5b8c\u6210\u5ea6\u63a5\u8fd1\u4e8e0\u3002<\/li>\n<\/ul>\n

            \u56e2\u961f\u8ba4\u4e3a\uff0c\u8fd9\u4e9b\u7ec6\u81f4\u7684\u8bc4\u4f30\u7ed3\u679c\u6e05\u6670\u5730\u63ed\u793a\u4e86\u5f53\u524d\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u6240\u9762\u4e34\u7684\u4e25\u5cfb\u6311\u6218\uff1a<\/p>\n

            \u4e0d\u4ec5\u4ec5\u662f\u7b80\u5355\u7684\u6280\u672f\u5b9e\u73b0\uff0c\u66f4\u6df1\u5c42\u6b21\u7684\u8ba4\u77e5\u548c\u63a8\u7406\u80fd\u529b\u624d\u662f\u51b3\u5b9a\u672a\u6765\u6a21\u578b\u6027\u80fd\u7684\u5173\u952e\u74f6\u9888\u3002<\/p>\n

            \"\u56fe\u7247\"<\/p>\n

            \u6700\u540e\uff0c\u4f5c\u8005\u56e2\u961f\u5c55\u671b\u672a\u6765\u5e76\u8868\u793a\uff1a<\/p>\n

            \n

            RISEBench\u7684\u53d1\u5e03\uff0c\u6807\u5fd7\u7740\u56fe\u50cf\u7f16\u8f91\u8bc4\u6d4b\u6807\u51c6\u7684\u4e00\u6b21\u91cd\u5927\u5347\u7ea7\u3002\u5e0c\u671b\u5b83\u80fd\u63a8\u52a8\u4e0b\u4e00\u4ee3\u89c6\u89c9\u7f16\u8f91\u6a21\u578b\u53d1\u5c55\uff0c\u5f15\u9886\u7f16\u8f91\u6a21\u578b\u4ece\u201c\u6a21\u4eff\u201d\u8d70\u5411\u201c\u7406\u89e3\u201d\uff0c\u6700\u7ec8\u5b9e\u73b0\u771f\u6b63\u667a\u80fd\u3001\u5bcc\u6709\u521b\u9020\u529b\u7684\u89c6\u89c9\u4ea4\u4e92\u3002<\/p>\n<\/blockquote>\n

            \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2504.02826GitHub\u94fe\u63a5\uff1ahttps:\/\/github.com\/PhoenixZ810\/RISEBench<\/p>\n

            \u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n

            <\/div>\n

            <\/g><\/svg><\/i> \"Loading\"<\/p>\n

            <\/div>\n","protected":false},"excerpt":{"rendered":"

            360\u4e2a\u5168\u90e8\u7531\u4eba\u7c7b\u4e13\u5bb6\u4ed4\u7ec6\u601d\u8003\u5e76\u6821\u5bf9\u7684\u9ad8\u8d28\u91cf\u6d4b\u8bd5\u6848\u4f8b\uff0c\u66b4\u9732\u591a\u6a21\u6001\u6a21\u578b\u5728\u7ed3\u5408\u63a8\u7406\u80fd\u529b\u8fdb\u884c\u56fe\u50cf\u7f16\u8f91\u65f6\u7684\u77ed\u677f\u3002 GP […]<\/p>\n

            <\/div>\n

            <\/g><\/svg><\/i> \"Loading\"<\/p>\n

            <\/div>\n","protected":false},"author":56,"featured_media":26162,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,23,20,80],"tags":[1733],"class_list":["post-26160","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-23","category-20","category-80","tag-gpt-4o-image28-9ai"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/26160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=26160"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/26160\/revisions"}],"predecessor-version":[{"id":26163,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/26160\/revisions\/26163"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/26162"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=26160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=26160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=26160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}