{"id":2388,"date":"2025-01-15T16:00:48","date_gmt":"2025-01-15T08:00:48","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=2388"},"modified":"2025-01-15T16:04:13","modified_gmt":"2025-01-15T08:04:13","slug":"202501-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-large-language-models-for-generative-information-extraction-a-survey","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202501-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-large-language-models-for-generative-information-extraction-a-survey\/","title":{"rendered":"202501 \u8bba\u6587\u7814\u8bfb-Large Language Models for Generative Information Extraction:\u00a0 A Survey"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a<\/strong> Derong XU, Wei CHEN, Chao ZHANG et al.<\/p>\n\n\n\n

\u6765\u6e90\uff1a<\/strong> Frontiers of Computer Science(CCF-B)<\/p>\n\n\n\n

\u65f6\u95f4\uff1a<\/strong> 2024.10<\/p>\n\n\n\n

\u4e00\u3001\u80cc\u666f<\/strong><\/h2>\n\n\n\n

  1. \u4fe1\u606f\u62bd\u53d6\uff08IE\uff09\u662f\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4e2d\u7684\u4e00\u4e2a\u5173\u952e\u9886\u57df\uff0c\u5b83\u5c06\u7eaf\u6587\u672c\u8f6c\u6362\u4e3a\u7ed3\u6784\u5316\u77e5\u8bc6\uff0c\u5982\u5b9e\u4f53\u3001\u5173\u7cfb\u548c\u4e8b\u4ef6\uff0c\u4e3a\u77e5\u8bc6\u56fe\u8c31\u6784\u5efa\u3001\u77e5\u8bc6\u63a8\u7406\u548c\u95ee\u7b54\u7b49\u4e0b\u6e38\u4efb\u52a1\u63d0\u4f9b\u57fa\u7840\u652f\u6301\u3002<\/p>\n\n\n\n

    2. \u4f20\u7edfIE\u4efb\u52a1\u9762\u4e34\u8bf8\u591a\u6311\u6218\uff0c\u5982\u9700\u8981\u4ece\u4e0d\u540c\u6765\u6e90\u63d0\u53d6\u4fe1\u606f\u3001\u5904\u7406\u590d\u6742\u4e14\u4e0d\u65ad\u53d8\u5316\u7684\u9886\u57df\u9700\u6c42\uff0c\u4ee5\u53ca\u9700\u8981\u4e3a\u6bcf\u4e2a\u7279\u5b9a\u4efb\u52a1\u5355\u72ec\u8bad\u7ec3\u6a21\u578b\uff0c\u5bfc\u81f4\u8d44\u6e90\u6d88\u8017\u5927\u3002<\/p>\n\n\n\n

    3. \u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u5982 GPT-4\u7684\u5174\u8d77\uff0c\u663e\u8457\u63a8\u52a8\u4e86NLP\u9886\u57df\u7684\u53d1\u5c55\uff0c\u5b83\u4eec\u5728\u6587\u672c\u7406\u89e3\u548c\u751f\u6210\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u80fd\u591f\u8fdb\u884c\u96f6\u6837\u672c\u548c\u5c11\u6837\u672c\u5b66\u4e60\uff0c\u4e3aIE\u4efb\u52a1\u63d0\u4f9b\u4e86\u65b0\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u6838\u5fc3\u5185\u5bb9<\/strong><\/h2>\n\n\n\n

        1. \u6587\u7ae0\u603b\u7ed3\u4e86\u5f53\u524d\u57fa\u4e8eLLMs\u7684\u751f\u6210\u5f0fIE\u65b9\u6cd5\uff0c\u5176\u5229\u7528LLMs\u6765\u751f\u6210\u7ed3\u6784\u5316\u4fe1\u606f\uff0c\u800c\u4e0d\u662f\u4ece\u7eaf\u6587\u672c\u4e2d\u76f4\u63a5\u62bd\u53d6\u7ed3\u6784\u5316\u4fe1\u606f\uff0c\u5bf9\u6bd4\u4f20\u7edfIE\u5177\u6709\u6781\u5927\u7684\u4f18\u52bf\u3002<\/p>\n\n\n\n

        2. \u6587\u7ae0\u63a2\u7d22\u4e86\u5229\u7528LLMs\u6784\u5efa\u540c\u65f6\u5904\u7406\u591a\u4e2aIE\u4efb\u52a1\u7684\u4e24\u79cd\u901a\u7528\u6846\u67b6\uff0cNL-LLMS\u548cCode-LLMS,\u5e76\u5206\u6790\u4e86\u4e24\u79cd\u6846\u67b6\u5404\u81ea\u7684\u4f18\u7f3a\u70b9\u3002<\/p>\n\n\n\n

        3. \u9488\u5bf9\u4f4e\u8d44\u6e90\u573a\u666f\uff0c\u6587\u7ae0\u603b\u7ed3\u4e86\u591a\u79cd\u751f\u6210\u5f0fIE\u7684\u8f85\u52a9\u6280\u672f\uff0c\u5982\u6570\u636e\u589e\u5f3a\u3001\u63d0\u793a\u8bbe\u8ba1\u3001\u96f6\u6837\u672c\u5b66\u4e60\u3001\u7ea6\u675f\u89e3\u7801\u751f\u6210\u3001\u5c11\u6837\u672c\u5b66\u4e60\u548c\u76d1\u7763\u5f0f\u5fae\u8c03\u7b49\uff0c\u4ee5\u66f4\u597d\u5730\u9002\u5e94LLMs\u5728IE\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\uff0c\u5c24\u5176\u662f\u5728\u8bad\u7ec3\u6570\u636e\u6709\u9650\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e9b\u6280\u672f\u80fd\u591f\u6709\u6548\u63d0\u5347\u6a21\u578b\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n

\u4e09\u3001\u6280\u672f\u8def\u7ebf<\/strong><\/h2>\n\n\n\n

3.1\u751f\u6210\u5f0fIE\u603b\u4f53\u6846\u67b6<\/strong><\/h3>\n\n\n\n

\u5f53\u524d\u7684\u751f\u6210\u5f0fIE\u6846\u67b6\u4e3b\u8981\u5c31\u662f\u4f7f\u7528\u63d0\u793a\u5de5\u7a0b\u3001\u5fae\u8c03\u4ee5\u53ca\u6570\u636e\u589e\u5f3a\u6280\u672f\uff0c\u5728\u4efb\u52a1\u7279\u6027\u6846\u67b6\u6216\u8005\u901a\u7528\u6846\u67b6\u4e0b\u8ba9\u5927\u6a21\u578b\u5b8c\u6210\u6307\u5b9a\u7684IE\u4efb\u52a1\u7684\u5b50\u4efb\u52a1\uff0c\u5176\u4e2d\u5305\u62ec\u547d\u540d\u5b9e\u4f53\u62bd\u53d6NER<\/strong>\uff08Named Entity Recognition\uff09\u3001\u5173\u7cfb\u62bd\u53d6RE<\/strong>\uff08 Relation Extraction \uff09\u548c\u4e8b\u4ef6\u62bd\u53d6EE<\/strong>\uff08 Event Extraction \uff09\u4e09\u79cd\u4e3b\u8981\u7c7b\u578b\u7684\u5b50\u4efb\u52a1<\/p>\n\n\n\n

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

3.2  \u4e24\u79cd\u7edf\u4e00\u7684IE\u751f\u6210\u6846\u67b6<\/strong><\/h3>\n\n\n\n

    NL-LLMS\uff0c<\/strong>\u57fa\u4e8e\u81ea\u7136\u8bed\u8a00\u7684\u901a\u7528IE\u6846\u67b6\u3002 NL-LLMs\u5728\u5e7f\u6cdb\u7684\u6587\u672c\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u80fd\u591f\u7406\u89e3\u548c\u751f\u6210\u4eba\u7c7b\u8bed\u8a00\uff0c\u8fd9\u4f7f\u5f97\u63d0\u793a\u548c\u6307\u4ee4\u53ef\u4ee5\u66f4\u7b80\u6d01\u3001\u66f4\u5bb9\u6613\u8bbe\u8ba1\u3002\u7136\u800c\uff0cNL-LLMs\u53ef\u80fd\u4f1a\u4ea7\u751f\u4e0d\u81ea\u7136\u7684\u8f93\u51fa\uff0c\u56e0\u4e3aIE\u4efb\u52a1\u7684\u8bed\u6cd5\u548c\u7ed3\u6784\u4e0e\u8bad\u7ec3\u6570\u636e\u4e0d\u540c\u3002<\/p>\n\n\n\n

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

    Code-LLMS\uff0c<\/strong>\u57fa\u4e8e\u4ee3\u7801\u7684\u65b9\u6cd5\u7684\u901a\u7528IE\u6846\u67b6\u3002\u4ee3\u7801\u4f5c\u4e3a\u4e00\u79cd\u5f62\u5f0f\u5316\u8bed\u8a00\uff0c\u5177\u6709\u51c6\u786e\u8868\u793a\u4e0d\u540c\u6a21\u5f0f\u77e5\u8bc6\u7684\u56fa\u6709\u80fd\u529b\uff0c\u8fd9\u4f7f\u5176\u66f4\u9002\u5408\u4e8e\u7ed3\u6784\u5316\u9884\u6d4b\u3002\u4f46\u662f\uff0c\u57fa\u4e8e\u4ee3\u7801\u7684\u65b9\u6cd5\u901a\u5e38\u9700\u8981\u5927\u91cf\u6587\u672c\u6765\u5b9a\u4e49Python\u7c7b\uff0c\u8fd9\u53cd\u8fc7\u6765\u53c8\u9650\u5236\u4e86\u4e0a\u4e0b\u6587\u6837\u672c\u7684\u5927\u5c0f\u3002<\/p>\n\n\n\n

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

3<\/strong>.3<\/strong>  \u4f4e\u8d44\u6e90\u573a\u666f\u4e0b\u751f\u6210\u5f0f<\/strong>IE<\/strong>\u7684\u76f8\u5173\u8f85\u52a9\u6280\u672f<\/strong><\/h3>\n\n\n\n

\u6570\u636e\u589e\u5f3a<\/strong>\uff1a\u5229\u7528LLMs\u751f\u6210\u6709\u610f\u4e49\u4e14\u591a\u6837\u5316\u7684\u6570\u636e\u6765\u589e\u5f3a\u8bad\u7ec3\u6837\u672c\uff0c\u5305\u62ec\u6570\u636e\u6807\u6ce8\u3001\u77e5\u8bc6\u68c0\u7d22\u3001\u9006\u5411\u751f\u6210\u548c\u4e3a\u5fae\u8c03\u751f\u6210\u5408\u6210\u6570\u636e\u96c6\u7b49\u7b56\u7565\u3002<\/p>\n\n\n\n

\u63d0\u793a\u8bbe\u8ba1<\/strong>\uff1a\u901a\u8fc7\u4f7f\u7528\u7279\u5b9a\u4e8e\u4efb\u52a1\u7684\u6307\u4ee4\u6216\u63d0\u793a\u6765\u6307\u5bfc\u6a21\u578b\u884c\u4e3a\uff0c\u5982\u95ee\u7b54\uff08QA\uff09\u3001\u94fe\u5f0f\u601d\u8003\uff08CoT\uff09\u548c\u81ea\u6211\u6539\u8fdb\u7b49\u65b9\u6cd5\uff0c\u4ee5\u63d0\u5347LLMs\u5728IE\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n

\u96f6\u6837\u672c\u5b66\u4e60<\/strong>\uff1a\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u6709\u6548\u6cdb\u5316\u5230\u672a\u8bad\u7ec3\u8fc7\u7684\u4efb\u52a1\u548c\u9886\u57df\uff0c\u540c\u65f6\u4f7f\u9884\u8bad\u7ec3\u8303\u5f0f\u4e0e\u65b0\u4efb\u52a1\u5bf9\u9f50\uff0c\u5982\u901a\u8fc7\u5f15\u5165\u901a\u7528\u6846\u67b6\u548c\u521b\u65b0\u8bad\u7ec3\u63d0\u793a\u6765\u5b66\u4e60\u548c\u6355\u6349\u5df2\u77e5\u4efb\u52a1\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u5e76\u5c06\u5176\u6cdb\u5316\u5230\u672a\u89c1\u4efb\u52a1\u548c\u9886\u57df\u3002<\/p>\n\n\n\n

\u7ea6\u675f\u89e3\u7801\u751f\u6210\uff1a<\/strong>\u5728\u81ea\u56de\u5f52LLMs\u4e2d\uff0c\u751f\u6210\u6587\u672c\u65f6\u9075\u5faa\u7279\u5b9a\u7684\u7ea6\u675f\u6216\u89c4\u5219\uff0c\u5982\u4f7f\u7528\u8bed\u6cd5\u7ea6\u675f\u89e3\u7801\u6765\u63a7\u5236LM\u7684\u8f93\u51fa\uff0c\u786e\u4fdd\u5176\u9075\u5faa\u7ed9\u5b9a\u7ed3\u6784\u3002\u5c11\u6837\u672c\u5b66\u4e60\uff1a<\/strong>\u5728\u53ea\u6709\u5c11\u91cf\u6807\u8bb0\u793a\u4f8b\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u5b66\u4e60\uff0c\u9762\u4e34\u8fc7\u62df\u5408\u548c\u96be\u4ee5\u6355\u6349\u590d\u6742\u5173\u7cfb\u7b49\u6311\u6218\uff0cLLMs\u901a\u8fc7\u53c2\u6570\u6269\u5c55\u83b7\u5f97\u51fa\u8272\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u5982GPT-NER\u5f15\u5165\u81ea\u9a8c\u8bc1\u7b56\u7565\uff0cGPT-RE\u589e\u5f3a\u4efb\u52a1\u611f\u77e5\u8868\u793a\u7b49\u3002<\/p>\n\n\n\n

\u5c11\u6837\u672c\u5b66\u4e60\uff1a<\/strong>\u5728\u53ea\u6709\u5c11\u91cf\u6807\u8bb0\u793a\u4f8b\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u5b66\u4e60\uff0c\u9762\u4e34\u8fc7\u62df\u5408\u548c\u96be\u4ee5\u6355\u6349\u590d\u6742\u5173\u7cfb\u7b49\u6311\u6218\uff0cLLMs\u901a\u8fc7\u53c2\u6570\u6269\u5c55\u83b7\u5f97\u51fa\u8272\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u5982GPT-NER\u5f15\u5165\u81ea\u9a8c\u8bc1\u7b56\u7565\uff0cGPT-RE\u589e\u5f3a\u4efb\u52a1\u611f\u77e5\u8868\u793a\u7b49\u3002<\/p>\n\n\n\n

\u76d1\u7763\u5f0f\u5fae\u8c03<\/strong>\uff1a\u4f7f\u7528\u6240\u6709\u8bad\u7ec3\u6570\u636e\u5bf9LLMs\u8fdb\u884c\u5fae\u8c03\uff0c\u662f\u6700\u5e38\u89c1\u4e14\u6709\u524d\u666f\u7684\u65b9\u6cd5\uff0c\u5141\u8bb8\u6a21\u578b\u6355\u6349\u6570\u636e\u4e2d\u7684\u5e95\u5c42\u7ed3\u6784\u6a21\u5f0f\uff0c\u5e76\u5bf9\u672a\u89c1\u6837\u672c\u8fdb\u884c\u826f\u597d\u6cdb\u5316\u3002<\/p>\n\n\n\n

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

\u56db\u3001\u5b9e\u9a8c<\/strong><\/h2>\n\n\n\n

4.1  \u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u4efb\u52a1\uff08NER\uff09\u5bf9\u6bd4\u5b9e\u9a8c<\/strong><\/h3>\n\n\n\n

     \u901a\u8fc7\u5bf9\u6bd4\u591a\u79cd\u6a21\u578b\u5728\u4e94\u4e2a\u4e3b\u8981\u6570\u636e\u96c6\u4e0a\u7684\u8868\u73b0\uff0c\u53d1\u73b0\u5c11\u6837\u672c\u548c\u96f6\u6837\u672c\u8bbe\u7f6e\u4e0b\u7684\u6a21\u578b\u4e0eSFT\u548cDA\u76f8\u6bd4\u4ecd\u6709\u8f83\u5927\u6027\u80fd\u5dee\u8ddd\uff1b\u4e0d\u540c\u6a21\u578b\u5728ICL\u8303\u5f0f\u4e0b\u7684\u6027\u80fd\u5dee\u5f02\u8f83\u5927\uff1bSFT\u540e\u4e0d\u540c\u6a21\u578b\u6027\u80fd\u5dee\u5f02\u8f83\u5c0f\uff0c\u4f46\u53c2\u6570\u5dee\u5f02\u53ef\u80fd\u8fbe\u6570\u767e\u500d\uff1b\u901a\u7528\u6a21\u578b\u5728\u4e0d\u540c\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u53d8\u5f02\u6027\u8f83\u5927\uff0c\u5c24\u5176\u662f\u8de8\u9886\u57df\u6570\u636e\u96c6\u65f6\uff1bEnTDA\u5728\u6240\u6709\u6570\u636e\u96c6\u4e0a\u8868\u73b0\u51fa\u8272\uff0c\u8bc1\u660e\u4e86DA\u8303\u5f0f\u5728\u7279\u5b9a\u4efb\u52a1\u4e2d\u7684\u9c81\u68d2\u6027\u3002<\/p>\n\n\n\n

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

4.2  \u5173\u7cfb\u62bd\u53d6\u4efb\u52a1\uff08RE\uff09\u5bf9\u6bd4\u5b9e\u9a8c<\/strong><\/h3>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

4.3  \u4e8b\u4ef6\u62bd\u53d6\u4efb\u52a1\uff08EE\uff09\u5bf9\u6bd4\u5b9e\u9a8c<\/strong><\/h3>\n\n\n\n

        \u5927\u591a\u6570\u65b9\u6cd5\u57fa\u4e8eSFT\u8303\u5f0f\uff0c\u5c11\u6837\u672c\u548c\u96f6\u6837\u672c\u5b66\u4e60\u7684\u65b9\u6cd5\u8f83\u5c11\uff1b\u751f\u6210\u5f0f\u65b9\u6cd5\u5728\u8bba\u5143\u5206\u7c7b\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u8fdc\u8d85\u5224\u522b\u5f0f\u65b9\u6cd5\uff0c\u8868\u660e\u751f\u6210\u5f0fLLMs\u5728EE\u9886\u57df\u5177\u6709\u5de8\u5927\u6f5c\u529b\u3002<\/p>\n\n\n\n

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

4.4  \u7279\u5b9a\u9886\u57df\u5e94\u7528\u7684\u5b9e\u9a8c<\/strong><\/h3>\n\n\n\n

LLMs\u5728\u591a\u6a21\u6001\u3001\u591a\u8bed\u8a00\u3001\u533b\u7597\u3001\u79d1\u5b66\u3001\u5929\u6587\u3001\u5386\u53f2\u548c\u6cd5\u5f8b\u7b49\u7279\u5b9a\u9886\u57df\u5c55\u73b0\u51fa\u4e86\u5de8\u5927\u7684\u4fe1\u606f\u62bd\u53d6\u6f5c\u529b\uff0c\u5982Chen\u7b49\u901a\u8fc7\u7ed3\u5408\u6587\u672c\u56fe\u50cf\u5bf9\u548cLLMs\u7684\u94fe\u5f0f\u601d\u8003\u77e5\u8bc6\uff0c\u663e\u8457\u63d0\u5347\u4e86\u591a\u6a21\u6001NER\u548c\u591a\u6a21\u6001RE\u7684\u6027\u80fd\uff1bTang\u7b49\u63a2\u7d22\u4e86LLMs\u5728\u4e34\u5e8a\u6587\u672c\u6316\u6398\u4e2d\u7684\u6f5c\u529b\uff0c\u5e76\u63d0\u51fa\u4e86\u5229\u7528\u5408\u6210\u6570\u636e\u63d0\u5347\u6027\u80fd\u5e76\u89e3\u51b3\u9690\u79c1\u95ee\u9898\u7684\u65b0\u8bad\u7ec3\u65b9\u6cd5\u7b49\u3002<\/p>\n\n\n\n

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

4.5  \u4e00\u4e9b\u5177\u6709\u4ee3\u8868\u6027\u7684IE\u6570\u636e\u96c6<\/strong><\/h3>\n\n\n\n

    \u6587\u7ae0\u8fd8\u6574\u7406\u4e86\u4e00\u4e9b\u5177\u6709\u4ee3\u8868\u6027\u7684IE\u6570\u636e\u96c6\uff0c\u53ef\u4f9b\u672a\u6765\u8fdb\u884c\u5b9e\u9a8c\u65f6\u53c2\u8003\u4f7f\u7528\u3002<\/p>\n\n\n\n

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

\u4e94\u3001\u603b\u7ed3\u4e0e\u601d\u8003<\/strong><\/h2>\n\n\n\n

    1.\u6587\u7ae0\u5168\u9762\u7cfb\u7edf\u5730\u56de\u987e\u548c\u63a2\u7d22\u4e86LLMs\u5728\u751f\u6210\u5f0fIE\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\uff0c\u901a\u8fc7\u5c06\u73b0\u6709\u65b9\u6cd5\u5206\u4e3a\u4e0d\u540c\u7684IE\u5b50\u4efb\u52a1\u548cIE\u6280\u672f\u4e24\u5927\u7c7b\u8fdb\u884c\u5206\u7c7b\uff0c\u5e76\u5bf9\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u8fdb\u884c\u5b9e\u8bc1\u5206\u6790\uff0c\u53d1\u73b0\u4e86IE\u4efb\u52a1\u4e2dLLMs\u7684\u65b0\u5174\u8d8b\u52bf\u3002\u7814\u7a76\u8bc6\u522b\u51fa\u4e86\u5728\u6280\u672f\u4e0a\u7684\u4e00\u4e9b\u89c1\u89e3\u4ee5\u53ca\u672a\u6765\u7814\u7a76\u4e2d\u503c\u5f97\u8fdb\u4e00\u6b65\u63a2\u7d22\u7684\u6709\u524d\u666f\u7684\u65b9\u5411\u3002<\/p>\n\n\n\n

    2. LLMs\u5728IE\u9886\u57df\u4ecd\u9762\u4e34\u4e00\u4e9b\u6311\u6218\uff0c\u5982\u81ea\u7136\u8bed\u8a00\u8f93\u51fa\u4e0e\u7ed3\u6784\u5316\u5f62\u5f0f\u4e4b\u95f4\u7684\u4e0d\u4e00\u81f4\u6027\u3001LLMs\u7684\u5e7b\u89c9\u95ee\u9898\u3001\u4e0a\u4e0b\u6587\u4f9d\u8d56\u6027\u3001\u9ad8\u8ba1\u7b97\u8d44\u6e90\u9700\u6c42\u4ee5\u53ca\u5185\u90e8\u77e5\u8bc6\u66f4\u65b0\u56f0\u96be\u7b49\u3002<\/p>\n\n\n\n

\u00a0\u00a0\u00a0 3. \u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u662f\u8fdb\u4e00\u6b65\u53d1\u5c55\u80fd\u591f\u7075\u6d3b\u9002\u5e94\u4e0d\u540c\u9886\u57df\u548c\u4efb\u52a1\u7684\u901a\u7528IE\u6846\u67b6\u3001\u63a2\u7d22\u4f4e\u8d44\u6e90IE\u573a\u666f\u4e0b\u7684LLMs\u5e94\u7528\u3001\u8bbe\u8ba1\u66f4\u6709\u6548\u7684IE\u63d0\u793a\u4ee5\u53ca\u5728\u5f00\u653eIE\u8bbe\u7f6e\u4e0b\u63d0\u5347LLMs\u7684\u6027\u80fd\u7b49\u3002<\/p>\n\n\n\n

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

\u4f5c\u8005\uff1a Derong XU, Wei CHEN, Chao ZHANG et al. \u6765\u6e90\uff1a Frontier […]<\/p>\n","protected":false},"author":62,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2388","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2388","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/62"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=2388"}],"version-history":[{"count":2,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2388\/revisions"}],"predecessor-version":[{"id":2401,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2388\/revisions\/2401"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=2388"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=2388"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=2388"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}