{"id":53154,"date":"2024-10-16T20:54:01","date_gmt":"2024-10-16T12:54:01","guid":{"rendered":"https:\/\/swarma.org\/?p=53154"},"modified":"2024-10-16T20:54:01","modified_gmt":"2024-10-16T12:54:01","slug":"%e5%af%bb%e6%89%be%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%9a%84%e7%83%ad%e5%8a%9b%e5%ad%a6%ef%bc%9a%e4%b8%b4%e7%95%8c%e7%9b%b8%e5%8f%98%e5%a6%82%e4%bd%95%e5%90%af%e5%8f%91%e6%9c%ba","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=53154","title":{"rendered":"\u5bfb\u627e\u673a\u5668\u5b66\u4e60\u7684\u201c\u70ed\u529b\u5b66\u201d\uff1a\u4e34\u754c\u76f8\u53d8\u5982\u4f55\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7814\u7a76\uff1f"},"content":{"rendered":"
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2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956<\/span><\/strong><\/span><\/strong>\u6388\u4e88\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u548c\u673a\u5668\u5b66\u4e60\u7684\u57fa\u7840\u6027\u7814\u7a76<\/a>\uff0c\u53ef\u4ee5\u8bf4\u662f\u7edf\u8ba1\u7269\u7406\u5f15\u53d1\u7684\u673a\u5668\u5b66\u4e60\u9769\u547d\u3002\uff08\u53e4\u8001\u7684\uff09\u7edf\u8ba1\u7269\u7406\u4e0e\uff08\u5e74\u8f7b\u7684\uff09\u8ba1\u7b97\u673a\u79d1\u5b66\u6709\u600e\u6837\u7684\u76f8\u4f3c\u6027\uff1f\u5982\u4f55\u7528\u7edf\u8ba1\u7269\u7406\u6765\u5e2e\u52a9\u7406\u89e3\u5927\u8bed\u8a00\u6a21\u578b\uff1f\u5728 Quanta Magazine \u7684\u8fd9\u7bc7\u91c7\u8bbf\u4e2d\uff0c\u745e\u58eb\u6d1b\u6851\u8054\u90a6\u7406\u5de5\u5b66\u9662\uff08EPFL\uff09\u8ba1\u7b97\u7edf\u8ba1\u7269\u7406\u5b9e\u9a8c\u5ba4\u7684\u79d1\u5b66\u5bb6\u8ba4\u4e3a\uff0c18\u4e16\u7eaa\u4eba\u4eec\u4e3a\u4e86\u7406\u89e3\u84b8\u6c7d\u673a\u53d1\u5c55\u4e86\u70ed\u529b\u5b66\uff0c\u5982\u4eca\u6211\u4eec\u4e5f\u9700\u8981\u5bfb\u627e\u673a\u5668\u5b66\u4e60\u7684\u201c\u70ed\u529b\u5b66\u201d\u3002<\/span><\/strong><\/span><\/strong><\/section>\n

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John Pavlus<\/span><\/span> <\/span>| \u4f5c\u8005<\/span><\/strong><\/span><\/p>\n

\u5f6d\u6668<\/span><\/span> <\/span>| \u8bd1\u8005<\/span><\/strong><\/span><\/strong><\/span><\/p>\n

\u6881\u91d1<\/span> <\/span>| \u7f16\u8f91<\/span><\/strong><\/span><\/strong><\/span><\/p>\n


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\u6377\u514b\u79d1\u5b66\u5bb6 Lenka Zdeborov\u00e1 \u9752\u5c11\u5e74\u65f6\u66fe\u5728\u827e\u8428\u514b\u00b7\u963f\u897f\u83ab\u592b\u7684\u5c0f\u8bf4\u4e2d\u77a5\u89c1\u4e86\u81ea\u5df1\u7684\u672a\u6765\u3002\u963f\u897f\u83ab\u592b\u300a\u57fa\u5730\u300b\u7cfb\u5217\u5c0f\u8bf4\u4e2d\u7684\u4eba\u7269\u53d1\u660e\u4e86\u4e00\u79cd\u88ab\u79f0\u4e3a\u201c\u5fc3\u7406\u53f2\u5b66\u201d\u7684\u6570\u5b66\u65b9\u6cd5\uff0c\u901a\u8fc7\u5e73\u5747\u6570\u5341\u4ebf\u4eba\u7684\u968f\u673a\u884c\u4e3a\u6765\u9884\u6d4b\u94f6\u6cb3\u5e1d\u56fd\u7684\u547d\u8fd0\u548c\u4eba\u7c7b\u7684\u672a\u6765\u3002Zdeborov\u00e1 \u56de\u5fc6\u8bf4\uff0c\u8fd9\u4e2a\u7406\u5ff5\u5f53\u521d\u7ed9\u5979\u4e00\u79cd\u201c\u8ff7\u4eba\u7684\u611f\u89c9\u201d\uff0c\u5f53\u540e\u6765\u9047\u5230\u53ef\u4ee5\u7528\u4e8e\u7406\u89e3\u5927\u91cf\u4e0d\u53ef\u9884\u6d4b\u5143\u7d20\u7684\u65b9\u6cd5\u65f6\uff0c\u5979\u611f\u5230\u4f3c\u66fe\u76f8\u8bc6\u3002<\/span><\/section>\n

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\u201d\u6211\u610f\u8bc6\u5230\uff0c\u2018\u54e6\u5929\u54ea\uff0c\u963f\u897f\u83ab\u592b\u662f\u5728\u63cf\u8ff0\u7edf\u8ba1\u7269\u7406\u5b66\uff0c\u2019\u201d\u5979\u8bf4\u3002\u7edf\u8ba1\u7269\u7406\u5b66\u901a\u8fc7\u5e94\u7528\u4e8e\u5355\u4e2a\u5206\u5b50\u7684\u89c4\u5219\u6765\u63cf\u8ff0\u7269\u8d28\u7684\u603b\u4f53\u7279\u6027\u3002\u5728\u5e03\u62c9\u683c\u7684\u67e5\u5c14\u65af\u5927\u5b66<\/span>\uff08Charles University\uff09<\/span>\u5c31\u8bfb\u7269\u7406\u5b66\u7855\u58eb\u65f6\uff0c\u5979\u9676\u9189\u4e8e\u7edf\u8ba1\u7269\u7406\u5b66\u7684\u5f3a\u5927\u9884\u6d4b\u529b\u3002\u800c\u540e\u5728\u535a\u58eb\u671f\u95f4\uff0c\u5bfc\u5e08\u7ed9\u5979\u770b\u4e86\u4e00\u7bc7\u6587\u7ae0\uff0c\u8fd9\u7bc7\u6587\u7ae0\u5c06\u7edf\u8ba1\u7269\u7406\u5b66\u6280\u672f\u5e94\u7528\u4e8e\u7406\u8bba\u8ba1\u7b97\u673a\u79d1\u5b66\u2014\u2014\u8ba1\u7b97\u548c\u7b97\u6cd5\u884c\u4e3a\u7684\u6570\u5b66\u7814\u7a76\uff0c\u90a3\u79cd\u719f\u6089\u7684\u611f\u89c9\u53c8\u56de\u6765\u4e86\u3002<\/span><\/section>\n

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M\u00e9zard, Marc, Giorgio Parisi, and Riccardo Zecchina. Analytic and algorithmic solution of random satisfiability problems. Science<\/em> 297.5582 (2002): 812-815.<\/span><\/section>\n
https:\/\/www.science.org\/doi\/abs\/10.1126\/science.1073287<\/span><\/section>\n<\/blockquote>\n

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Zdeborov\u00e1\u8bf4\uff1a\u201c\u6211\u5b8c\u5168\u88ab\u90a3\u7bc7\u8bba\u6587\u8ff7\u4f4f\u4e86\u3002\u6211\u4e4b\u524d\u4e00\u76f4\u8ba4\u4e3a\uff0c\u8981\u505a\u8ba1\u7b97\u673a\u79d1\u5b66\uff0c\u4f60\u5fc5\u987b\u662f\u4e00\u540d\u9ed1\u5ba2\uff0c\u4e86\u89e3Linux\u7cfb\u7edf\u7684\u4e00\u5207\u3002\u4f46\u73b0\u5728\u6211\u610f\u8bc6\u5230\uff0c\u7406\u8bba\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u7406\u8bba\u7269\u7406\u4e00\u6837\u8ff7\u4eba\uff0c\u4e8e\u662f\u6211\u8bf4\uff0c\u2018\u597d\u5427\uff0c\u8fd9\u5c31\u662f\u6211\u60f3\u505a\u7684\u3002\u2019\u201d<\/span><\/section>\n

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Zdeborov\u00e1 \u73b0\u5728\u9886\u5bfc\u7740\u745e\u58eb\u6d1b\u6851\u8054\u90a6\u7406\u5de5\u5b66\u9662<\/span>\uff08EPFL\uff09<\/span>\u7684\u8ba1\u7b97\u7edf\u8ba1\u7269\u7406\u5b9e\u9a8c\u5ba4\uff0c\u4e3b\u8981\u5173\u6ce8\u7269\u8d28\u76f8\u53d8\u7684\u7269\u7406\u89c4\u5219\u2014\u2014\u6bd4\u5982\u6c34\u51dd\u7ed3\u6210\u51b0\u2014\u2014\u5982\u4f55\u542f\u53d1\u7b97\u6cd5\u884c\u4e3a\u7684\u5efa\u6a21\uff0c\u5c24\u5176\u662f\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u7b97\u6cd5\u3002<\/span><\/section>\n

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Lenka Zdeborov\u00e1 <\/span><\/section>\n

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https:\/\/www.epfl.ch\/labs\/spoc\/<\/span><\/section>\n<\/blockquote>\n

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Quanta <\/span>\u6742\u5fd7\u5c31\u6c34\u548c\u7b97\u6cd5\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\uff0c\u5982\u4f55\u7528\u7269\u7406\u5b66\u6765\u7406\u89e3\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4ee5\u53ca\u8ffd\u6c42\u4e0d\u5408\u7406\u7684\u79d1\u5b66\u76ee\u6807\u4e09\u90e8\u5206\u5185\u5bb9\uff0c\u4e0e Zdeborov\u00e1 \u5c55\u5f00\u4e86\u8ba8\u8bba\u3002\u4e0b\u6587\u662f\u7cbe\u7b80\u540e\u7684\u91c7\u8bbf\u5185\u5bb9\u3002<\/span><\/section>\n

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Lenka Zdeborov\u00e1 \u7684\u7814\u7a76\u5728\u63a2\u7d22\u7edf\u8ba1\u7269\u7406\u4e0e\u8ba1\u7b97\u673a\u79d1\u5b66\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027<\/span><\/p>\n


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Cui, Hugo, et al. A phase transition between positional and semantic learning in a solvable model of dot-product attention. arXiv preprint arXiv:2402.03902<\/em> (2024). https:\/\/arxiv.org\/abs\/2402.03902<\/span><\/section>\n<\/blockquote>\n

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\u672c\u6587\u7ffb\u8bd1\u81eaQuanta Magazine\u3002<\/span><\/section>\n
\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/www.quantamagazine.org\/the-computer-scientist-who-builds-big-pictures-from-small-details-20241007\/<\/span><\/section>\n<\/section>\n<\/blockquote>\n


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\u7edf\u8ba1\u7269\u7406\u5b66\u4e0d\u4ec5\u80fd\u89e3\u91ca\u70ed\u5b66\u73b0\u8c61\uff0c\u8fd8\u80fd\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4ece\u5fae\u89c2\u7c92\u5b50\u5230\u5b8f\u89c2\u5b87\u5b99\u7684\u5404\u4e2a\u5c42\u7ea7\u5982\u4f55\u8054\u7cfb\u8d77\u6765\uff0c\u590d\u6742\u73b0\u8c61\u5982\u4f55\u6d8c\u73b0\u3002\u5b83\u901a\u8fc7\u7814\u7a76\u5927\u91cf\u7c92\u5b50\u7684\u96c6\u4f53\u884c\u4e3a\uff0c\u6210\u529f\u5730\u5c06\u5fae\u89c2\u4e16\u754c\u7684\u968f\u673a\u6027\u4e0e\u5b8f\u89c2\u4e16\u754c\u7684\u786e\u5b9a\u6027\u8054\u7cfb\u8d77\u6765\uff0c\u4e3a\u6211\u4eec\u7406\u89e3\u81ea\u7136\u754c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u4e5f\u4e3a\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u53d1\u5c55\u63d0\u4f9b\u4e86\u91cd\u8981\u63a8\u52a8\u529b\u3002<\/span><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u7ebd\u7ea6\u5dde\u7acb\u5927\u5b66\u77f3\u6eaa\u5206\u6821\u6559\u6388\u6c6a\u52b2\u3001\u5fb7\u7d2f\u65af\u987f\u7cfb\u7edf\u751f\u7269\u5b66\u4e2d\u5fc3\u535a\u58eb\u540e\u7814\u7a76\u5458\u6881\u5e08\u7fce\u3001\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u52a9\u7406\u6559\u6388\u5510\u4e7e\u5143\uff0c\u5171\u540c\u53d1\u8d77\u300c\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u300d\u8bfb\u4e66\u4f1a\uff0c\u5173\u6ce8\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u7684\u524d\u6cbf\u7406\u8bba\u8fdb\u5c55\u3001\u751f\u547d\u548c\u70ed\u529b\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u4e0e\u673a\u5668\u5b66\u4e60\u4ea4\u53c9\u4e09\u4e2a\u5927\u7684\u4e3b\u9898\u65b9\u5411\uff0c\u6db5\u76d6\u70ed\u673a\u4f18\u5316\u95ee\u9898\u3001\u6da8\u843d\u76f8\u5173\u7684\u70ed\u529b\u5b66\u3001\u53cd\u5e38\u70ed\u529b\u5b66\u73b0\u8c61\u3001\u4fe1\u606f\u89c6\u89d2\u4e0b\u7684\u70ed\u529b\u5b66\u3001\u751f\u547d\u7cfb\u7edf\u7684\u666f\u89c2\u548c\u6d41\u7406\u8bba\u3001\u6d3b\u6027\u7269\u8d28\u3001\u751f\u547d\u7cfb\u7edf\u3001\u79cd\u7fa4\u52a8\u529b\u5b66\u3001\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u7b49\u524d\u6cbf\u8bdd\u9898\u3002\u8bfb\u4e66\u4f1a\u8ba1\u5212\u4ece11\u670819\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e8c\u665a19:00-21:00\u8fdb\u884c\u3002\u6211\u4eec\u8bda\u631a\u9080\u8bf7\u76f8\u5173\u9886\u57df\u7684\u7814\u7a76\u8005\u5206\u4eab\u7684\u5de5\u4f5c\uff0c\u4e5f\u6b22\u8fce\u5927\u5bb6\u4e00\u8d77\u53c2\u4e0e\u8ba8\u8bba\u4ea4\u6d41\uff01<\/span><\/p>\n


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AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 10:00-12:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a>
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong>
<\/section>\n
1. <\/strong>2024\u5e74\u7269\u7406\u8bfa\u5956\u6388\u4e88\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff1a\u7edf\u8ba1\u7269\u7406\u5f15\u53d1\u7684\u673a\u5668\u5b66\u4e60\u9769\u547d<\/a><\/strong><\/span><\/section>\n
2. <\/strong>2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u4e3a\u4f55\u6388\u4e88\u673a\u5668\u5b66\u4e60\u9886\u57df\uff1f<\/a><\/strong><\/span><\/section>\n
3. <\/strong>\u63a2\u7d22\u201cAI \u5927\u7edf\u4e00\u7406\u8bba\u201d\uff1a\u79d1\u5b66\u542f\u53d1\u7684\u673a\u5668\u5b66\u4e60\u7406\u8bba<\/a><\/strong><\/span><\/section>\n
4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
<\/strong>5.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n

6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/p>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/span><\/strong><\/p>\n

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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