{"id":38144,"date":"2025-02-11T02:00:57","date_gmt":"2025-02-10T18:00:57","guid":{"rendered":"https:\/\/17aitech.com\/?p=38144"},"modified":"2025-02-11T02:00:57","modified_gmt":"2025-02-10T18:00:57","slug":"neurips-2024-%e7%94%a8llm%e6%8e%a2%e5%af%bb%e9%9a%90%e7%a7%98%e7%9a%84%e5%9b%a0%e6%9e%9c%e4%b8%96%e7%95%8c","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38144","title":{"rendered":"NeurIPS 2024 | \u7528LLM\u63a2\u5bfb\u9690\u79d8\u7684\u56e0\u679c\u4e16\u754c"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-02-08-9\" target=\"_blank\">NeurIPS 2024 | \u7528LLM\u63a2\u5bfb\u9690\u79d8\u7684\u56e0\u679c\u4e16\u754c<\/a><\/p>\n<p><strong>\u56e0\u679c\u53d1\u73b0\u7684\u73b0\u5b9e\u6311\u6218\uff1a\u7a00\u7f3a\u7684\u9ad8\u7ea7\u53d8\u91cf<\/strong><\/p>\n<p>\u5bfb\u627e\u5e76\u5206\u6790\u56e0\u679c\u5173\u7cfb\u662f\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u91cd\u8981\u4e00\u73af\uff0c\u800c\u73b0\u6709\u7684\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5\u4f9d\u8d56\u7531\u4e13\u5bb6\u9884\u5148\u5b9a\u4e49\u7684\u9ad8\u7ea7\u53d8\u91cf\u3002\u73b0\u5b9e\u573a\u666f\u4e2d\u7684\u539f\u59cb\u6570\u636e\u5f80\u5f80\u662f\u56fe\u7247\u3001\u6587\u672c\u7b49\u9ad8\u7ef4\u975e\u7ed3\u6784\u5316\u6570\u636e\uff0c \u7ed3\u6784\u5316\u7684\u9ad8\u7ea7\u53d8\u91cf\u662f\u5341\u5206\u7a00\u7f3a\u7684\uff0c\u5bfc\u81f4\u73b0\u6709\u7684\u56e0\u679c\u53d1\u73b0\u548c\u5b66\u4e60\u7b97\u6cd5\u96be\u4ee5\u7528\u4e8e\u81f3\u66f4\u5e7f\u6cdb\u7684\u6570\u636e\u3002\u56e0\u6b64\uff0c\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u4e0eMBZUAI\u3001\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u3001\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u3001\u6089\u5c3c\u5927\u5b66\u4ee5\u53ca\u58a8\u5c14\u672c\u5927\u5b66\u5408\u4f5c\u53d1\u8868\u8bba\u6587\u300aDiscovery of the Hidden World with Large Language Models\u300b\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u540d\u4e3a COAT \u7684\u65b0\u578b\u6846\u67b6\uff0c\u65e8\u5728\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u548c\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\u7684\u4f18\u52bf\uff0c\u7a81\u7834\u4f20\u7edf\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\u7684\u5c40\u9650\u6027\uff0c\u66f4\u6709\u6548\u5730\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u5b9a\u4e49\u9ad8\u7ea7\u53d8\u91cf\u3001\u7406\u89e3\u56e0\u679c\u5173\u7cfb\u3002<\/p>\n<p>\u8bba\u6587\u5df2\u5728 NeurIPS 2024 \u53d1\u8868\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-cb7aa44931c8fb2949428cebf5e7ab55.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-cb7aa44931c8fb2949428cebf5e7ab55.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u8bba\u6587\u6807\u9898\uff1a<strong>Discovery of the Hidden World with Large Language Models<\/strong><\/p>\n<p>\u9879\u76ee\u5730\u5740\uff1a<br \/>https:\/\/causalcoat.github.io\/<\/p>\n<p>\u9879\u76ee\u4ee3\u7801\uff1a<br \/>https:\/\/github.com\/tmlr-group\/CausalCOAT<\/p>\n<p><strong>\u5f15\u8a00<\/strong><\/p>\n<p>\u79d1\u5b66\u7684\u53d1\u5c55\u79bb\u4e0d\u5f00\u5bf9\u91cd\u8981\u53d8\u91cf\u7684\u8bc6\u522b\u548c\u5b83\u4eec\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u7684\u63ed\u793a [1,2]\u3002\u73b0\u6709\u7684\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\uff08Causal Discovery methods, CDs\uff09\u4e3b\u8981\u4f9d\u8d56\u4e8e\u7531\u4eba\u7c7b\u4e13\u5bb6\u63d0\u4f9b\u7684\u9ad8\u8d28\u91cf\u6d4b\u91cf\u53d8\u91cf [3,4,5]\u3002\u7136\u800c\uff0c\u5728\u66f4\u5e7f\u6cdb\u7684\u5b9e\u9645\u7684\u5e94\u7528\u4e2d\uff0c\u5b83\u4eec\u5f80\u5f80\u662f\u7a00\u7f3a\u7684\u3002\u4f8b\u5982\uff0c\u60f3\u8981\u5206\u6790\u7528\u6237\u8bc4\u5206\u76f8\u5173\u56e0\u7d20\u7684\u4e9a\u9a6c\u900a\u5356\u5bb6\uff0c\u53ea\u80fd\u62e5\u6709\u539f\u59cb\u7684\u7528\u6237\u8bc4\u8bba\uff0c\u8fd9\u4e9b\u8bc4\u8bba\u662f\u6839\u636e\u7528\u6237\u5bf9\u67d0\u4e9b\u4ea7\u54c1\u7279\u5f81\u7684\u6f5c\u5728\u504f\u597d\u64b0\u5199\u7684\u3002\u56e0\u6b64\uff0c\u7f3a\u4e4f\u9ad8\u8d28\u91cf\u7684\u9ad8\u7ea7\u53d8\u91cf\u4e00\u76f4\u662f CDs \u6216\u53d7\u56e0\u679c\u5173\u7cfb\u542f\u53d1\u7684\u65b9\u6cd5\u5728\u66f4\u5e7f\u6cdb\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u957f\u671f\u969c\u788d [6]\u3002<\/p>\n<p>\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08Large Language Models, LLMs\uff09[7,8,9,10] \u901a\u8fc7\u5b66\u4e60\u6765\u81ea\u771f\u5b9e\u4e16\u754c\u7684\u5927\u91cf\u6587\u672c\u6570\u636e\uff0c\u5728\u7406\u89e3\u975e\u7ed3\u6784\u5316\u8f93\u5165\u65b9\u9762\u5c55\u73b0\u4e86\u60ca\u4eba\u7684\u80fd\u529b\uff0c\u5e76\u5229\u7528\u6240\u5b66\u5230\u7684\u4e30\u5bcc\u77e5\u8bc6\u89e3\u51b3\u5404\u79cd\u901a\u7528\u4efb\u52a1 [11,12]\u3002\u4e00\u7cfb\u5217\u65e9\u671f\u7684\u6d4b\u8bd5\u8868\u660e\uff0cLLMs \u80fd\u591f\u6709\u6548\u5730\u5229\u7528\u6240\u5b66\u77e5\u8bc6\u56de\u7b54\u5e38\u89c1\u7684\u56e0\u679c\u95ee\u9898 [11,13,14]\u3002\u5c3d\u7ba1\u5982\u6b64\uff0c\u73b0\u6709\u7684\u65b9\u6cd5\u4e3b\u8981\u96c6\u4e2d\u4e8e\u5c06 LLMs \u4f5c\u4e3a\u4e00\u79cd\u5e94\u7528\u4e8e\u7ed9\u5b9a\u7684\u56e0\u679c\u53d8\u91cf\u7684\u00a0<em>\u76f4\u63a5\u63a8\u7406\u5668<\/em>\u3002\u7531\u4e8e LLMs \u7684\u4e00\u7cfb\u5217\u7f3a\u9677 [18,19,20]\uff0c\u8fd9\u79cd\u76f4\u63a5\u63a8\u7406\u5668\u7684\u53ef\u9760\u6027\u4ecd\u7136\u5b58\u5728\u4e89\u8bae [13,15,16,17]\u3002\u66f4\u5173\u952e\u7684\u662f\uff0c\u7ecf\u5178\u7684\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5 [3,4,5] \u5f3a\u8c03\u8bc6\u522b\u56e0\u679c\u7ed3\u6784\u7684\u7406\u8bba\u4fdd\u8bc1\uff0c\u800c\u73b0\u6709\u7684 LLMs \u548c\u56e0\u679c\u53d1\u73b0\u7ed3\u5408\u7684\u65b9\u6cd5\u4ecd\u7136\u6ca1\u80fd\u7ed9\u51fa\u5145\u5206\u7684\u8ba8\u8bba\u6216\u5206\u6790\u3002\u56e0\u6b64\uff0c\u672c\u6587\u805a\u7126\u5728\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u7814\u7a76\u95ee\u9898\uff1aLLMs\u5982\u4f55\u53ef\u9760\u5730\u5e2e\u52a9\u63ed\u793a\u73b0\u5b9e\u4e16\u754c\u80cc\u540e\u7684\u56e0\u679c\u673a\u5236\uff1f<\/p>\n<p><strong>LLM\u4f5c\u4e3a\u8868\u5f81\u52a9\u7406\u7528\u4e8e\u56e0\u679c\u53d1\u73b0<\/strong><\/p>\n<p>\u672c\u6587\u7684\u7814\u7a76\u76ee\u6807\u662f\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4f18\u52bf\u4e3a\u975e\u7ed3\u6784\u5316\u6570\u636e\u8bbe\u8ba1\u5e76\u63d0\u4f9b\u7ed3\u6784\u5316\u7684\u8868\u5f81\u3002\u8be5\u8868\u5f81\u5e94\u5f53\u7531\u4e00\u7cfb\u5217\u7684\u9ad8\u7ea7\u53d8\u91cf (factors) \u7ec4\u6210\uff0c\u6355\u6349\u7528\u6237\u611f\u5174\u8da3\u7684\u4fe1\u606f\uff0c\u5e76\u5177\u5907\u4e00\u5b9a\u7684\u53ef\u89e3\u91ca\u6027\u3002\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u6837\u7684\u76ee\u6807\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u5957\u7b80\u5355\u800c\u6709\u6548\u7684\u6846\u67b6\u7b97\u6cd5\uff1aCausal representatiOn AssistanT (COAT). \u7528\u6237\u53ea\u9700\u63d0\u4f9b\u4e00\u4e2a\u611f\u5174\u8da3\u7684\u76ee\u6807\u53d8\u91cf\uff0cCOAT \u5c06\u8fed\u4ee3\u5730\u627e\u5bfb\u4e00\u7ec4\u9ad8\u7ea7\u53d8\u91cf\uff0c\u6784\u6210\u76ee\u6807\u53d8\u91cf\u7684\u9a6c\u5c14\u53ef\u592b\u6bef (Markov Blanket)\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u4efb\u4f55\u5408\u9002\u7684\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5\u5747\u53ef\u7528\u4e8e\u8fdb\u4e00\u6b65\u7684\u56e0\u679c\u7ed3\u6784\u8bc6\u522b\uff0c\u52a0\u6df1\u5bf9\u76ee\u6807\u53d8\u91cf\u7684\u7406\u89e3\u3002<\/p>\n<p><strong>\u6570\u636e<\/strong><\/p>\n<ul>\n<li>\u5047\u8bbe\u6709\u4e00\u4e2a\u7528\u6237\u611f\u5174\u8da3\u7684 <strong>\u76ee\u6807\u53d8\u91cf<\/strong> \uff0c\u6bd4\u5982\u6d88\u8d39\u8005\u5bf9\u5546\u54c1\u7684\u8bc4\u5206\uff0c\u6216\u662f\u60a3\u8005\u80bf\u7624\u7684\u7c7b\u578b\u3002\u6211\u4eec\u5c06Y\u89c6\u4e3a\u4e00\u4e2a\u6807\u91cf\u968f\u673a\u53d8\u91cf\u3002<\/li>\n<li>\u5f85\u5206\u6790\u7684\u00a0<strong>\u975e\u7ed3\u6784\u5316\u6570\u636e<\/strong> \u8bb0\u505a , \u6bd4\u5982\u6d88\u8d39\u8005\u9644\u5728\u8bc4\u5206\u540e\u9762\u7684\u6587\u672c\u8bc4\u8bba\uff0c\u6216\u662f\u60a3\u8005\u80bf\u7624\u5bf9\u5e94\u7684\u533b\u5b66\u56fe\u50cf\u3002<\/li>\n<li>\u6570\u636e\u96c6 \u7531\u4ece \u7684\u5206\u5e03\u4e2d\u72ec\u7acb\u62bd\u53d6\u7684 \u5bf9\u6837\u672c \u7ec4\u6210\u3002<\/li>\n<\/ul>\n<p><em>\u6ce8\uff1a\u6211\u4eec\u5bf9 \u548c \u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u4e0d\u505a\u7279\u5b9a\u7684\u5047\u8bbe<\/em>\u3002<\/p>\n<p><strong>\u76ee\u6807<\/strong><\/p>\n<p>\u6211\u4eec\u5bfb\u6c42\u4e00\u4e2a\u6620\u5c04 \uff0c\u4f7f\u5f97\u7ed3\u6784\u5316\u8868\u793a \u6ee1\u8db3 \u3002\u6362\u8a00\u4e4b\uff0c \u5145\u5f53\u4e86 \u5173\u4e8e \u7684\u9a6c\u5c14\u53ef\u592b\u6bef\uff08Markov Blanket\uff09\u3002\u57fa\u4e8e\u6b64\uff0c\u53ef\u4ee5\u5bf9 \u5e94\u7528\u4e0b\u6e38\u65b9\u6cd5\u3002\u7279\u522b\u5730\uff0c\u6211\u4eec\u5173\u6ce8\u5b83\u4eec\u4e4b\u95f4\u7684\u56e0\u679c\u7ed3\u6784\uff0c\u8fd9\u4e9b\u7ed3\u6784\u5c06\u63ed\u793a\u5173\u4e8e\u76ee\u6807\u53d8\u91cfY\u7684\u6709\u610f\u4e49\u7684\u89c1\u89e3 [21,22]\u3002\u4f8b\u5982\uff0c\u7b26\u5408\u54ea\u7c7b\u7279\u5f81\u7684\u4ea7\u54c1\u4f1a\u53d7\u6d88\u8d39\u8005\u6b22\u8fce\u3002<\/p>\n<p><strong>\u5927\u8bed\u8a00\u6a21\u578b\u7528\u4f5c\u8868\u5f81\u52a9\u7406<\/strong><\/p>\n<p>\u4e3a\u4e86\u5145\u5206\u53d1\u6325 LLMs \u4ece\u539f\u59cb\u89c2\u5bdf\uff08\u5373\u975e\u7ed3\u6784\u5316\u8f93\u5165 \uff09\u4e2d\u63d0\u53d6\u76f8\u5173\u4fe1\u606f\u7684\u80fd\u529b\uff0c\u6211\u4eec\u5c06\u6620\u5c04 \u5206\u89e3\u4e3a\u4e00\u7ec4\u9ad8\u7ea7\u53d8\u91cf \uff0c\u6bcf\u4e2a\u9ad8\u7ea7\u53d8\u91cf \u5c06\u539f\u59cb\u89c2\u5bdf \u6620\u5c04\u5230\u4e00\u4e2a\u9884\u5b9a\u4e49\u7684\u503c\u7a7a\u95f4 \u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u8fd9\u4e9b\u9ad8\u7ea7\u53d8\u91cf\u5b9a\u4e49\u4e86 \u7684\u8868\u5f81\uff1a\u3002\u6211\u4eec\u4f7f\u7528\u7b26\u53f7 \u6765\u5f3a\u8c03\u9ad8\u7ea7\u53d8\u91cf\u672c\u8eab\uff0c\u5982\u82f9\u679c\u7684\u751c\u5ea6\u3001\u5927\u5c0f\u6216\u6c14\u5473\uff0c\u800c \u6765\u5f3a\u8c03\u5c06\u539f\u59cb\u89c2\u5bdf \u6620\u5c04\u5230\u9884\u5b9a\u4e49\u503c\u7a7a\u95f4 \u7684\u51fd\u6570\u3002<\/p>\n<p><strong>\u9ad8\u7ea7\u53d8\u91cf\u7684\u53ef\u89e3\u91ca\u6027<\/strong><\/p>\n<p>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c<em>\u4e0a\u6587\u4e2d\u7684\u6bcf\u4e2a\u9ad8\u7ea7\u53d8\u91cf \u5747\u662f\u7531 LLMs \u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5b9a\u4e49\u7684<\/em>\u3002\u5c06\u6570\u636e \u548c\u5bf9\u5e94\u7684\u63cf\u8ff0\u8f93\u5165\u5927\u6a21\u578b\u5373\u53ef\u5f97\u5230\u5bf9\u5e94\u7684\u503c\u3002\u8fd9\u79cd\u5b9a\u4e49\u9ad8\u7ea7\u53d8\u91cf\u7684\u65b9\u6cd5\u8ba9\u5176\u53ef\u89e3\u91ca\u6027\u663e\u793a\u5730\u53ef\u5f97\u3002\u6bd4\u5982\uff0c\u4ee4\u503c\u7a7a\u95f4\u4e3a , \u90a3\u4e48 \u53ef\u4ee5\u88ab\u5b9a\u4e49\u4e3a<\/p>\n<p><strong>\u751c\u5ea6<\/strong>\uff1a<\/p>\n<p>1: \u6b64\u6d88\u8d39\u8005\u5bf9\u82f9\u679c\u751c\u5ea6\u611f\u5230\u6ee1\u610f\uff1b<br \/>-1: \u6b64\u6d88\u8d39\u8005\u5bf9\u82f9\u679c\u751c\u5ea6\u611f\u5230\u5931\u671b\uff1b0: \u6ca1\u6709\u63d0\u53ca \/ \u65e0\u6cd5\u5224\u65ad\uff1b<\/p>\n<p>\u8fd9\u6837\uff0c \u4e2d\u7684\u6bcf\u4e00\u4e2a\u503c\u5c31\u6709\u4e86\u660e\u786e\u7684\u7269\u7406\u542b\u4e49\u3002<\/p>\n<p>COAT: Causal representatiOn AssistanT \u6846\u67b6<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-e7a2a56c7d642195769130eaa5f84699.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-e7a2a56c7d642195769130eaa5f84699.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 1. COAT \u6846\u67b6\u793a\u4f8b.<\/p>\n<p>COAT\u7684\u6846\u67b6\u5982\u56fe1\u6240\u793a\uff0cCOAT\u88ab\u7528\u6765\u5206\u6790\u6d88\u8d39\u8005\u5bf9\u82f9\u679c\u7684\u6587\u672c\u8bc4\u8bba\u6570\u636e\u3002\u8fd9\u91cc\u7528\u6237\u611f\u5174\u8da3\u7684\u76ee\u6807\u53d8\u91cf\u662f\u6d88\u8d39\u8005\u5bf9\u82f9\u679c\u7684\u8bc4\u5206\u3002<\/p>\n<p>\u5728\u6211\u4eec\u63d0\u51fa\u7684 COAT \u6846\u67b6\u4e2d\uff0c\u6bcf\u4e00\u8f6e\u8fed\u4ee3\u5c06\u4f9d\u6b21\u7ecf\u8fc7\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\u3002<\/p>\n<p><strong>\u53d8\u91cf\u63d0\u51fa<\/strong><\/p>\n<p>\u6b64\u73af\u8282\u7684\u76ee\u7684\u662f\u5c06 LLMs \u5bf9\u6570\u636e\u7684\u7406\u89e3\u8f6c\u6362\u4e3a\u4e00\u7cfb\u5217\u7684\u53ef\u80fd\u7684\u9ad8\u7ea7\u53d8\u91cf\u3002\u6211\u4eec\u91c7\u6837\u4e00\u5c0f\u90e8\u5206\u7684\u6570\u636e \uff0c\u901a\u8fc7 prompt \u8ba9 \u4e00\u4e2a LLM \u63d0\u51fa\u4e00\u4e9b\u53ef\u80fd\u7684\u9ad8\u7ea7\u53d8\u91cf\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c0187dad4530b2209d219cce91ab5273.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c0187dad4530b2209d219cce91ab5273.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 2. COAT \u5728\u53d8\u91cf\u63d0\u51fa\u73af\u8282\u7684 prompt \u793a\u610f.<\/p>\n<p>\u56fe2\u5c55\u793a\u4e86\u4e00\u4e2a\u5177\u4f53\u7684\u4f8b\u5b50\u3002prompt \u5305\u542b\u4e86\u4e09\u4e2a\u90e8\u5206\uff1a\u6837\u672c\u3001\u6307\u793a\u4fe1\u606f\u3001\u683c\u5f0f\u63a7\u5236\u3002\u4e3a\u4e86\u5e2e\u52a9 LLMs \u66f4\u597d\u7684\u6ce8\u610f\u5230\u4e0e\u76ee\u6807\u53d8\u91cf \u76f8\u5173\u7684\u4fe1\u606f\uff0c\u6837\u672c\u88ab\u4f9d\u636e\u5176\u5bf9\u5e94\u7684 \u7684\u53d6\u503c\u5206\u7ec4\u3002\u63a5\u4e0b\u6765\uff0c\u6307\u793a\u4fe1\u606f\u8981\u6c42 LLM \u5b9a\u4e49\u5177\u4f53\u7684\u9ad8\u7ea7\u53d8\u91cf\uff0c\u5305\u62ec\u53d8\u91cf\u7684\u542b\u4e49\u3001\u6bcf\u4e2a\u53d8\u91cf\u5bf9\u5e94\u7684\u53d6\u503c\u51c6\u5219\u3002\u5982\u679c\u6709\u989d\u5916\u7684\u80cc\u666f\u4fe1\u606f\u6216\u5148\u9a8c\u77e5\u8bc6\uff0c\u4e5f\u53ef\u4e00\u5e76\u52a0\u5728\u8fd9\u91cc\u3002\u8fd9\u91cc prompt \u7684\u8bbe\u8ba1\u6a21\u4eff\u4e86\u4eba\u7c7b\u4e13\u5bb6\u9009\u53d6\u548c\u5b9a\u4e49\u9ad8\u7ea7\u53d8\u91cf\u7684\u8fc7\u7a0b [23]\u3002<\/p>\n<p>\u6b64\u73af\u8282\u7684\u5f62\u5f0f\u5316\u63cf\u8ff0\uff1a\u5728\u7b2c \u6b21\u7684COAT\u8fed\u4ee3\u4e2d\uff0c\u9009\u7528\u6837\u672c , prompt , \u4ee4 LLM \u7ed9\u51fa\u4e00\u7ec4\u9ad8\u7ea7\u53d8\u91cf\u7684\u96c6\u5408 . \u6b64\u524d\u6240\u6709\u63d0\u51fa\u8fc7\u7684\u9ad8\u7ea7\u53d8\u91cf\u7684\u96c6\u5408\u4e3a .<\/p>\n<p><strong>\u53d6\u503c\u89e3\u6790<\/strong><\/p>\n<p>\u6b64\u73af\u8282\u7684\u76ee\u7684\u662f\u4e3a\u5148\u524d\u63d0\u51fa\u7684\u9ad8\u7ea7\u53d8\u91cf\u89e3\u6790\u5bf9\u5e94\u5168\u6837\u672c \u7684\u975e\u7ed3\u6784\u5316\u6570\u636e \u4e0a\u5bf9\u5e94\u7684\u53d6\u503c\u3002\u5728\u4f20\u7edf\u7684\u56e0\u679c\u53d1\u73b0\u6d41\u7a0b\u4e2d\uff0c\u8fd9\u4e00\u6b65\u662f\u7531\u4eba\u7c7b\u4e13\u5bb6\u6536\u96c6\u7684 [3]\u3002\u5728 COAT \u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 LLM \u4f9d\u636e\u9ad8\u7ea7\u53d8\u91cf\u7684\u5b9a\u4e49\u548c\u5176\u5bf9\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u7406\u89e3\u6765\u7ed9\u51fa\u53d6\u503c\u3002<\/p>\n<p>\u6b64\u73af\u8282\u7684\u5f62\u5f0f\u5316\u63cf\u8ff0\uff1a\u5728\u7b2c \u6b21\u7684COAT\u8fed\u4ee3\u4e2d\uff0c\u5728\u5168\u6837\u672c \u4e0a\u901a\u8fc7\u76f8\u5e94\u7684 prompt , \u4ee4 LLM \u7ed9\u51fa\u4e00\u7ec4\u9ad8\u7ea7\u53d8\u91cf \u5bf9\u5e94\u7684\u53d6\u503c . \u6b64\u524d\u6240\u6709\u9ad8\u7ea7\u53d8\u91cf\u7684\u53d6\u503c\u4e3a .<\/p>\n<p>\u82e5 LLM \u4e0d\u5177\u5907\u89e3\u6790\u9ad8\u7ea7\u53d8\u91cf\u7684\u53d6\u503c\u6240\u9700\u8981\u7684\u80fd\u529b\uff0c\u6bd4\u5982\uff0c\u5bf9\u5916\u90e8\u73af\u5883\u4f5c\u51fa\u5e72\u9884\uff0c\u53ef\u4ee5\u5c06\u989d\u5916\u7684\u8fc7\u7a0b\u62d3\u5c55\u81f3\u6b64\u6846\u67b6\u4e2d [24,25]\u3002\u6bd4\u5982\uff0c\u9488\u5bf9\u75be\u75c5\u7684\u7814\u7a76\u53ef\u80fd\u9700\u8981\u4ece\u75c5\u4f8b\u4e2d\u6807\u67f1\u76f8\u5173\u7684\u75c7\u72b6\uff0c\u4e5f\u53ef\u80fd\u9700\u8981\u505a\u989d\u5916\u7684\u533b\u5b66\u68c0\u67e5 [26]\u3002\u5728\u540e\u7eed\u7684\u5b9e\u8bc1\u7814\u7a76\u4e2d\uff0cCOAT \u5728\u8fd9\u4e24\u7c7b\u60c5\u5f62\u4e0b\u5747\u6709\u826f\u597d\u7684\u8868\u73b0\u3002<\/p>\n<p><strong>\u56e0\u679c\u53d1\u73b0<\/strong><\/p>\n<p>\u83b7\u5f97\u9ad8\u7ea7\u53d8\u91cf\u5bf9\u5e94\u7684\u7ed3\u6784\u5316\u6570\u636e \u540e\uff0c\u4fbf\u53ef\u9009\u7528\u5408\u9002\u7684\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5\uff08\u5982 FCI\uff09\u5206\u6790 \u4e0a\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/p>\n<p>\u6b64\u73af\u8282\u7684\u5f62\u5f0f\u5316\u63cf\u8ff0\uff1a\u5728\u7b2c \u6b21\u7684COAT\u8fed\u4ee3\u4e2d\uff0c\u901a\u8fc7\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5 \u5f97\u5230\u56e0\u679c\u56fe .<\/p>\n<p>\u4e00\u822c\u6765\u8bf4\uff0c\u56e0\u679c\u7ed3\u6784\u7684\u53ef\u8bc6\u522b\u6027\u4f9d\u8d56\u4e8e\u7b97\u6cd5 \u6240\u505a\u7684\u5047\u8bbe\uff0c\u56e0\u6b64\u9700\u8981\u6839\u636e\u60c5\u51b5\u9009\u53d6\u5408\u9002\u7684\u7b97\u6cd5\u3002\u6b64\u5916\uff0c\u5728\u53d6\u503c\u89e3\u6790\u7684\u8fc7\u7a0b\u4e2d\u6709\u53ef\u80fd\u4f1a\u5f15\u5165\u566a\u58f0\uff0c\u5728\u5177\u4f53\u5b9e\u73b0\u65f6\u9700\u8981\u989d\u5916\u8003\u8651\u3002\u4e3a\u4e86\u9a8c\u8bc1COAT\u7684\u6982\u5ff5\uff0c\u672c\u6587\u9009\u7528\u57fa\u4e8e\u6761\u4ef6\u72ec\u7acb\u6027\u68c0\u9a8c\u7684 FCI \u7b97\u6cd5\uff0c\u5b9e\u9645\u4e2d\u53ef\u6839\u636e\u9700\u8981\u81ea\u884c\u8c03\u6574\u3002<\/p>\n<p><strong>\u5229\u7528\u53cd\u9988\u8fdb\u4e00\u6b65\u5bfb\u627e\u9ad8\u7ea7\u53d8\u91cf<\/strong><\/p>\n<p>LLM \u9700\u8981\u5408\u9002\u7684 prompt \u624d\u80fd\u53d1\u6325\u4f5c\u7528\uff0c\u5f88\u96be\u8ba9\u5176\u4e00\u6b21\u7ed9\u51fa\u8db3\u591f\u7684\u9ad8\u7ea7\u53d8\u91cf\u3002\u6b64\u73af\u8282\u7684\u76ee\u7684\u662f\u57fa\u4e8e\u56e0\u679c\u53d1\u73b0\u7684\u7ed3\u679c\uff0c\u901a\u8fc7\u53cd\u9988\u8bbe\u8ba1 \uff0c\u5bfb\u627e\u5408\u9002\u7684\u4fe1\u606f\uff0c\u4e3a\u4e0b\u4e00\u8f6e\u8fed\u4ee3\u51c6\u5907\u5408\u9002\u7684\u8f93\u5165\uff0c\u8ba9 LLM \u8fdb\u4e00\u6b65\u7ed9\u51fa\u5408\u9002\u7684\u9ad8\u7ea7\u53d8\u91cf\u3002<\/p>\n<p>\u5f62\u5f0f\u5316\u63cf\u8ff0\u4e3a\uff1a\u5728\u7b2c \u6b21\u7684COAT\u8fed\u4ee3\u4e2d\uff0c\u901a\u8fc7\u56e0\u679c\u56fe , \u4ece\u5168\u6837\u672c \u91cd\u65b0\u62bd\u6837 .<\/p>\n<p>\u6574\u4f53\u6846\u67b6\u603b\u7ed3\u5982\u4e0b\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-20a00a754dbd84055d322ced6731b98c.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-20a00a754dbd84055d322ced6731b98c.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 3. COAT \u6846\u67b6\u603b\u7ed3.<\/p>\n<p><strong>\u53cd\u9988\u6784\u5efa<\/strong><\/p>\n<p>\u5982\u524d\u6587\u6240\u8ff0\uff0c\u5728\u7b2c \u8f6e\u7684 COAT \u8fed\u4ee3\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u6784\u5efa\u5408\u9002\u7684\u53cd\u9988\u6765\u8fdb\u4e00\u6b65\u5bfb\u627e\u9ad8\u7ea7\u53d8\u91cf\u3002<\/p>\n<p>\u8bbe \u4e3a \u5173\u4e8e \u7684\u4efb\u4f55\u4e00\u7ec4\u9a6c\u5c14\u53ef\u592b\u6bef\u3002\u82e5\u5b83\u4e0d\u662f \u5173\u4e8e \u7684\u9a6c\u5c14\u53ef\u592b\u6bef\uff0c\u5373 $Y not ! ! ! {perp ! ! ! perp} X mid h_{leq t} (X)$ \uff0c\u90a3\u4e48\u5e94\u8be5\u5b58\u5728\u4e00\u4e2a\u5f85\u53d1\u73b0\u7684\u9ad8\u7ea7\u53d8\u91cf \u6ee1\u8db3:<\/p>\n<p>\u5176\u4e2d \u8868\u793a\u6761\u4ef6\u71b5\u3002\u56e0\u6b64\uff0c\u5bf9\u4e8e\u4e0b\u4e00\u8f6e\u8fed\u4ee3\uff0c\u6211\u4eec\u671f\u5f85\u7684\u65b0\u53d8\u91cf \u5728 \u4e0a\u7684\u6761\u4ef6\u71b5\u5e94\u8be5\u6ee1\u8db3<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c710afde4665ec3288d9ef7b925c0a13.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c710afde4665ec3288d9ef7b925c0a13.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 4. \u5f85\u53d1\u73b0\u7684\u9ad8\u7ea7\u53d8\u91cf\u7684\u4e0d\u540c\u60c5\u5f62.<\/p>\n<p>\u5982\u56fe4\u6240\u793a, \u5bf9\u4e8e \u7684\u9a6c\u5c14\u53ef\u592b\u6bef\u4e2d\u7684\u53d8\u91cf \u53ef\u5206\u4e3a\u56db\u79cd\u60c5\u51b5\uff0c\u5176\u4e2d \u4e3a\u5df2\u7ecf\u627e\u51fa\u7684\u53d8\u91cf\u3002\u5728\u5173\u4e8e \u7684\u6761\u4ef6\u5206\u5e03\u4e0a\uff0c \u4e0e \u7684\u76f8\u5173\u6027\u5c06\u5f97\u5230\u589e\u5f3a\uff0c\u8fd9\u542f\u793a\u6211\u4eec\u5bfb\u627e\u54ea\u4e9b\u8f83\u96be\u88ab\u73b0\u6709\u53d8\u91cf \u89e3\u91ca\u7684\u6837\u672c\u3002\u56e0\u6b64\uff0c\u5bf9\u4e8e\u4e0b\u4e00\u8f6e\u8fed\u4ee3\uff0c\u6211\u4eec\u5e0c\u671b\u9009\u53d6\u7684\u6837\u672c \u5e94\u8be5\u6ee1\u8db3<\/p>\n<p>\u4e3a\u4e86\u7b80\u5316\u8ba1\u7b97\uff0c\u6211\u4eec\u5c06\u6837\u672c\u4f9d \u901a\u8fc7K-means\u7b97\u6cd5\u805a\u4e3a \u7c7b\uff0c\u9009\u53d6\u6761\u4ef6\u71b5\u6700\u5927\u7684\u4e00\u7ec4\u6837\u672c\u3002\u8bfb\u8005\u53ef\u6839\u636e\u60c5\u51b5\u9009\u62e9\u4e0d\u540c\u7684\u65b9\u5f0f\u3002<\/p>\n<p>\u7406\u8bba\u5206\u6790<\/p>\n<p>\u672c\u6587\u5b9a\u4e49\u4e86\u4e24\u4e2a\u4e0e LLM \u63d0\u51fa\u9ad8\u7ea7\u53d8\u91cf\u7684\u80fd\u529b\u76f8\u5173\u7684\u6307\u6807\uff1a<\/p>\n<ul>\n<li>\u611f\u77e5\u5206\u6570 (Perception Score) : LLM \u63d0\u51fa\u7b26\u5408\u4e0a\u6587\u63cf\u8ff0\u7684\u65b0\u7684\u9ad8\u7ea7\u53d8\u91cf\u7684\u6982\u7387\u3002<em>(\u53ef\u4ee5\u7b80\u5199\u4e3a )<\/em>\n<\/li>\n<li>\u80fd\u529b\u5206\u6570 (Capacity Score) : LLM \u63d0\u51fa\u7b26\u5408\u4e0a\u6587\u63cf\u8ff0\u7684\u65b0\u7684\u9ad8\u7ea7\u53d8\u91cf \uff0c\u5bf9\u6761\u4ef6\u4e92\u4fe1\u606f\u7684\u8d21\u732e\uff1a<\/li>\n<\/ul>\n<p>\u82e5\u8fd9\u4e24\u4e2a\u5206\u6570\u5747\u4e3a\u6b63\u503c\uff0c\u4e14\u4e0a\u6587\u5173\u4e8e\u6761\u4ef6\u71b5\u7684\u4e0d\u7b49\u5f0f\u80fd\u591f\u88ab\u9a8c\u8bc1\uff0c\u90a3\u4e48\u5bf9\u4efb\u610f \uff0c \u4e3a\u6807\u51c6\u9ad8\u65af\u5206\u5e03\u7684 -\u5206\u4f4d\u6570\uff0c<\/p>\n<p>\u7ecf\u8fc7 \u8f6e\u7684 COAT \u8fed\u4ee3\u540e\uff1a<\/p>\n<p>\u8fd9\u8868\u660e COAT \u53ef\u4ee5\u9010\u6b65\u8bc6\u522b\u4e00\u7ec4 \u7684\u9a6c\u5c14\u53ef\u592b\u6bef\uff0c\u4e5f\u5c55\u793a\u4e86\u53cd\u9988\u6784\u9020\u7684\u6709\u6548\u6027\u3002\u6b64\u5916\uff0c \u4e0a\u7684\u56e0\u679c\u7ed3\u6784\u7684\u53ef\u8bc6\u522b\u6027\u53d6\u51b3\u4e8e\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5 \u7684\u5047\u8bbe\u662f\u5426\u6ee1\u8db3\u3002\u5373\u4f7f\u7b97\u6cd5 \u7684\u5047\u8bbe\u4e0d\u6ee1\u8db3\uff0c\u9a6c\u5c14\u53ef\u592b\u6bef\u7684\u53ef\u8bc6\u522b\u6027\u4ecd\u6709\u53ef\u80fd\u88ab\u4fdd\u8bc1\u3002\u6bd4\u5982\u4e0a\u6587\u5173\u4e8e\u6761\u4ef6\u71b5\u7684\u4e0d\u7b49\u5f0f\u6761\u4ef6\u7684\u53ef\u4ee5\u901a\u8fc7\u6761\u4ef6\u72ec\u7acb\u6027\u68c0\u9a8c\u6d4b\u8bd5\uff0c\u4e3b\u8981\u8981\u6c42\u5fe0\u5b9e\u6027\u5047\u8bbe\u548c\u9a6c\u5c14\u53ef\u592b\u6027\u5047\u8bbe\u3002\u800c\u4e00\u4e9b\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5\u53ef\u80fd\u4f1a\u6709\u989d\u5916\u7684\u5047\u8bbe\u3002<\/p>\n<p><strong> AppleGastronome \u5b9e\u9a8c<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-0bd8db6ba47294583413b5f9983434a1.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-0bd8db6ba47294583413b5f9983434a1.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 5. AppleGastronome \u6570\u636e\u6837\u4f8b.<\/p>\n<p><strong>\u6570\u636e\u96c6\u6784\u9020<\/strong><\/p>\n<p>\u6211\u4eec\u8003\u8651\u76ee\u6807\u53d8\u91cf\u4e3a\u7f8e\u98df\u5bb6\u5bf9\u82f9\u679c\u7684\u8bc4\u5206\u3002\u6bcf\u4e2a\u82f9\u679c\u90fd\u6709\u81ea\u5df1\u7684\u5c5e\u6027\uff0c\u5305\u62ec\u5927\u5c0f\u3001\u6c14\u5473\u548c\u5473\u9053\u3002\u6bcf\u4f4d\u7f8e\u98df\u5bb6\u4f1a\u5173\u6ce8\u8fd9\u4e09\u4e2a\u504f\u597d\u7684\u4e00\u4e2a\u5b50\u96c6\uff0c\u6839\u636e\u82f9\u679c\u7684\u8868\u73b0\u6765\u8bc4\u5206\u5e76\u64b0\u5199\u8bc4\u8bba\u3002\u6211\u4eec\u4f7f\u7528GPT-4\u6765\u6a21\u62df\u8bc4\u8bba\u64b0\u5199\u7684\u8fc7\u7a0b\uff0c\u751f\u6210\u4e86200\u4e2a\u6837\u672c\u4f9bLLMs\u5206\u6790\uff0c\u56fe5\u662f\u4e00\u4e9b\u4f8b\u5b50\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-b2736cb51c03039eb42357eed07363b3.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-b2736cb51c03039eb42357eed07363b3.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 6. AppleGastronome \u76f8\u5173\u56e0\u679c\u56fe.<\/p>\n<p>\u5982\u56fe6(a)\u6240\u793a\uff0c\u6570\u636e\u96c6\u5171\u6d89\u53ca 6 \u4e2a\u9ad8\u7ea7\u53d8\u91cf\uff0c\u5305\u62ec 3 \u4e2a \u7684\u7236\u8282\u70b9\uff0c\u8fd8\u6709 2 \u4e2a\u8282\u70b9\u5c5e\u4e8e\u9a6c\u5c14\u53ef\u592b\u6bef\uff0c\u4e00\u4e2a\u8282\u70b9\u662f\u4e0e \u6709\u76f8\u5173\u6027\u4f46\u5e94\u5f53\u6392\u9664\u7684\u5e72\u6270\u8282\u70b9\u3002\u4e00\u4e2a\u7406\u60f3\u7684\u65b9\u6cd5\u5e94\u5f53\u627e\u51fa 5 \u4e2a\u9a6c\u5c14\u53ef\u592b\u6bef\u4e2d\u7684\u8282\u70b9\uff0c\u5e76\u6392\u9664\u5e72\u6270\u8282\u70b9\u3002<\/p>\n<p><strong>\u57fa\u7ebf\u65b9\u6cd5<\/strong><\/p>\n<p>\u6211\u4eec\u6bd4\u8f83 3 \u4e2a\u57fa\u7ebf\u65b9\u6cd5\u3002META \u4e3a LLM \u4f7f\u7528\u80cc\u666f\u77e5\u8bc6\u76f4\u63a5\u7ed9\u51fa\u9ad8\u7ea7\u53d8\u91cf\uff1bDATA \u4e3a\u6ca1\u6709\u53cd\u9988\u673a\u5236\u7684\u5355\u8f6e COAT \u65b9\u6cd5\u3002DATA+CoT \u662f\u5c06 DATA \u65b9\u6cd5\u4e2d\u53d6\u503c\u89e3\u6790\u6362\u4e3a CoT \u5206\u6790\u3002\u5173\u4e8e\u7528 LLMs \u8bc6\u522b\u56e0\u679c\u5173\u7cfb\u7684\u57fa\u51c6\uff0c\u6211\u4eec\u91c7\u7528\u8ba9 LLMs \u4e3a\u6bcf\u4e00\u5bf9\u53d8\u91cf\u4f5c\u51fa\u65b9\u5411\u5224\u65ad [11] \u7684\u65b9\u6cd5\u3002<\/p>\n<p><strong>\u8bc4\u4ef7\u6307\u6807<\/strong><\/p>\n<p>\u6211\u4eec\u7528\u4e09\u79cd\u6307\u6807\u8861\u91cf\u65b9\u6cd5\u8bc6\u522b\u9ad8\u7ea7\u53d8\u91cf\u7684\u80fd\u529b\uff1aMB\uff1a\u9a6c\u5c14\u53ef\u592b\u6bef\u4e2d\u7684\u9ad8\u7ea7\u53d8\u91cf\uff08\u8bed\u4e49\u7b49\u4ef7\u5373\u53ef\uff0c\u4e0b\u540c\uff09\uff0c\u6700\u5927\u503c\u4e3a5\uff1bNMB:\u4e0d\u5728\u9a6c\u5c14\u53ef\u592b\u6bef\u4e2d\uff0c\u4f46\u5c5e\u4e8e6\u4e2a\u53d8\u91cf\u4e4b\u4e00\uff0c\u6700\u5927\u503c\u4e3a1\uff1bOT:\u5176\u4ed6\u53d8\u91cf\u3002\u5b9e\u9a8c\u4e5f\u540c\u65f6\u8ba1\u7b97\u4e86\u76f8\u5bf9\u4e8e\u9a6c\u5c14\u53ef\u592b\u6bef\u7684 recall, precision, \u548c F1 \u5206\u6570.<\/p>\n<p><strong>\u7ed3\u679c\u5206\u6790<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c59c7e565ee46704f7206d48b3ca5033.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c59c7e565ee46704f7206d48b3ca5033.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 7. AppleGastronome \u5b9e\u9a8c\u7ed3\u679c\uff08\u5b8c\u6574\u7248\u89c1\u8bba\u6587\u9644\u5f55E.4\uff09.<\/p>\n<p>\u4ece\u5b9e\u9a8c\u7ed3\u679c\u4e0a\u770b\uff1a<\/p>\n<ul>\n<li>\u901a\u8fc7 CoT \u63d0\u793a\uff0cLLM \u53ef\u4ee5\u66f4\u597d\u7684\u5206\u6790\u5e76\u8bc6\u522b\u51fa\u4e0e \u76f8\u5173\u8054\u7684\u9ad8\u7ea7\u53d8\u91cf\uff0c\u4f46\u6ca1\u80fd\u6709\u6548\u533a\u5206\u51fa\u9a6c\u5c14\u53ef\u592b\u6bef\u3002<\/li>\n<li>\u5229\u7528\u5bf9\u9ad8\u7ea7\u53d8\u91cf\u7684\u53d6\u503c\u89e3\u6790\uff0cCOAT \u53ef\u4ee5\u6709\u6548\u533a\u5206\u51fa\u5e94\u5f53\u6392\u9664\u7684\u8282\u70b9\uff0c\u56e0\u6b64\u6709\u66f4\u4f4e\u7684 NMB \u6307\u6807\u3002<\/li>\n<li>COAT \u4e0e DATA \u65b9\u6cd5\u7684\u6bd4\u8f83\uff0c\u652f\u6301\u4e86\u524d\u6587\u7684\u53cd\u9988\u8bbe\u8ba1\u80fd\u6709\u6548\u4fc3\u8fdb\u53d8\u91cf\u7684\u8bc6\u522b\u3002<\/li>\n<\/ul>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-65516132aa6403e3321e38c5b332b4cf.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-65516132aa6403e3321e38c5b332b4cf.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 8. LLMs \u76f8\u5173\u80fd\u529b\u7684\u5b9e\u9a8c\u8bc4\u4f30.<\/p>\n<p><strong>LLMs \u80fd\u5426\u6709\u6548\u8bc6\u522b\u9ad8\u7ea7\u53d8\u91cf\uff1f<\/strong><\/p>\n<p>\u5728\u5148\u524d\u7684\u7406\u8bba\u5206\u6790\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e24\u4e2a\u5173\u952e\u7684\u6307\u6807\u6765\u8861\u91cf LLMs \u7684\u9ad8\u7ea7\u53d8\u91cf\u8bc6\u522b\u80fd\u529b\uff1a\u611f\u77e5\u5206\u6570 () \u548c\u80fd\u529b\u5206\u6570 (C_Psi) \u3002\u6211\u4eec\u5728 AppleGastronome \u6570\u636e\u96c6\u4e2d\u5bf9\u8fd9\u4e24\u4e2a\u6307\u6807\u505a\u4e86\u7c97\u7565\u7684\u4f30\u8ba1\uff0c\u5c06\u4e0d\u540c LLMs \u4f9d\u7167\u5b83\u4eec\u7684\u5206\u6570\u7ed8\u5236\u5728\u56fe8(c)\u4e2d\u3002\u4ece\u8fd9\u4e00\u7ecf\u9a8c\u4e0a\u7684\u7ed3\u679c\uff0c\u6211\u4eec\u8ba4\u4e3a\u73b0\u6709\u7684 LLMs \u5df2\u7ecf\u521d\u6b65\u5177\u5907\u4e86\u63d0\u53d6\u9ad8\u7ea7\u53d8\u91cf\u7684\u80fd\u529b\u3002<\/p>\n<p><strong>LLMs \u80fd\u5426\u6709\u6548\u89e3\u6790\u9ad8\u7ea7\u53d8\u91cf\u7684\u53d6\u503c\uff1f<\/strong><\/p>\n<p>\u6211\u4eec\u5c06 LLMs \u89e3\u6790\u51fa\u7684\u53d6\u503c\u4e0e\u9ad8\u7ea7\u53d8\u91cf\u771f\u5b9e\u53d6\u503c\u76f8\u6bd4\u8f83\u3002\u56fe8(a) \u4e2d\u8981\u6c42 LLMs \u8bc6\u522b\u82f9\u679c\u7684\u5ba2\u89c2\u5c5e\u6027\uff0c\u56fe8(b) \u8003\u8651\u4e86\u4e00\u79cd\u53d8\u4f53\uff0c\u8981\u6c42 LLMs \u5224\u65ad\u82f9\u679c\u7684\u5c5e\u6027\u662f\u5426\u5339\u914d\u7f8e\u98df\u5bb6\u7684\u504f\u597d\uff0c\u5373\u8bc6\u522b\u4e3b\u89c2\u5c5e\u6027\u3002\u7ed3\u679c\u8868\u660e\uff0cLLMs \u867d\u7136\u5728\u4e3b\u89c2\u5c5e\u6027\u8868\u73b0\u7a0d\u5f31\uff0c\u4f46\u4ecd\u53ef\u4ee5\u8f83\u597d\u7684\u6267\u884c\u6b64\u7c7b\u4efb\u52a1\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-6d68aa0edd3d2ca11b8901149ca08a5e.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-6d68aa0edd3d2ca11b8901149ca08a5e.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 9. LLMs \u6807\u67f1\u566a\u58f0\u7684\u72ec\u7acb\u6027\u68c0\u9a8c.<\/p>\n<p>LLMs \u7684\u53d6\u503c\u89e3\u6790\u8fc7\u7a0b\u53ef\u80fd\u4f1a\u5f15\u5165\u989d\u5916\u7684\u566a\u58f0\uff0c\u751a\u81f3\u989d\u5916\u7684\u6df7\u6742\u56e0\u7d20\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u4e5f\u5bf9\u6807\u6ce8\u566a\u58f0\u548c\u7279\u5f81\u4e4b\u95f4\u8fdb\u884c\u4e86\u72ec\u7acb\u6027\u6d4b\u8bd5\u3002\u5982\u56fe9\u6240\u793a\uff0c\u5728\u8f83\u5148\u8fdb\u7684 LLMs\uff0c\u4f8b\u5982 GPT-4-Turbo \u7684\u5e2e\u52a9\u4e0b\uff0c\u4f9d\u8d56\u5173\u7cfb\u53ef\u4ee5\u63a7\u5236\u5728\u53ef\u63a5\u53d7\u7684\u6c34\u5e73\u3002<\/p>\n<p><strong>COAT \u80fd\u5426\u53ef\u9760\u5730\u8f85\u52a9\u8fd8\u539f\u56e0\u679c\u7ed3\u6784\uff1f<\/strong><\/p>\n<p>\u5728\u672c\u6587\u6240\u8003\u8651\u7684\uff08\u5373\u4fbf\u662f\u975e\u7ed3\u6784\u5316\u7684\uff09\u6837\u672c\u53ef\u5f97\u7684\u573a\u666f\u4e0b\uff0c\u76f8\u6bd4\u4e8e\u4f7f\u7528 LLMs \u5229\u7528\u53d8\u91cf\u540d\u79f0\u76f4\u63a5\u63a8\u65ad\u56e0\u679c\u7ed3\u6784\uff0cCOAT \u53ef\u4ee5\u5f97\u5230\u66f4\u63a5\u8fd1\u5b9e\u9645\u5206\u5e03\u7684\u56e0\u679c\u7ed3\u6784\u3002<em>\u4e8b\u5b9e\u4e0a\uff0cCOAT \u7684\u56e0\u679c\u53cd\u9988\u673a\u5236\u6700\u5927\u9650\u5ea6\u7684\u5229\u7528\u4e86 LLMs \u4e30\u5bcc\u7684\u5148\u9a8c\u77e5\u8bc6\uff0c\u4e14\u51cf\u5c11\u4e86\u56e0\u679c\u53d1\u73b0\u8fc7\u7a0b\u5bf9 LLMs \u63a8\u7406\u80fd\u529b\u7684\u4f9d\u8d56<\/em>\u3002\u56fe6(b-d)\u7ed9\u51fa\u4e86\u76f4\u89c2\u5c55\u793a\u3002\u56fe10\u7ed9\u51fa\u5b9a\u91cf\u7ed3\u679c\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-e854f119d193c604a7690f333a78d5bd.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-e854f119d193c604a7690f333a78d5bd.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 10. AppleGastronome \u6570\u636e\u96c6\u4e0a COAT \u56e0\u679c\u7ed3\u6784\u8bc6\u522b\u8bc4\u4f30.<\/p>\n<p><strong> Neuropathic \u5b9e\u9a8c<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-d550f80e12be2fe23c86e19a35e32fa0.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-d550f80e12be2fe23c86e19a35e32fa0.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 11. Neuropathic \u6570\u636e\u6837\u4f8b. \u4e2a\u4eba\u4fe1\u606f\u5747\u4e3a\u865a\u6784.<\/p>\n<p><strong>\u6570\u636e\u96c6\u6784\u9020<\/strong><\/p>\n<p>\u8fd9\u91cc\u7684\u5b9e\u9a8c\u76ee\u7684\u662f\u4e3a\u4e86\u5229\u7528 Neuropathic benchmark \u6a21\u62df\u771f\u5b9e\u4e16\u754c\u7684\u8bca\u65ad\u8fc7\u7a0b\uff1a\u5f53\u63d0\u51fa\u9ad8\u7ea7\u53d8\u91cf\u540e\uff0c\u5728\u53d6\u503c\u89e3\u6790\u9636\u6bb5\uff0c\u4f7f\u7528\u5916\u90e8\u8fc7\u7a0b\u6765\u83b7\u5f97\u8bca\u65ad\u7ed3\u679c\u3002\u5728\u539f\u59cb\u6570\u636e\u96c6 [26] \u4e2d\uff0c\u5b58\u5728\u4e09\u4e2a\u5c42\u6b21\u7684\u56e0\u679c\u53d8\u91cf\uff0c\u5305\u62ec\u75c7\u72b6\u5c42\u3001\u795e\u7ecf\u6839\u75c5\u53d8\u5c42\u548c\u75c5\u7406\u751f\u7406\u5b66\u5c42\u3002\u5728\u672c\u9879\u76ee\u4e2d\uff0c\u6211\u4eec\u4e3b\u8981\u8003\u8651\u53f3\u4fa7\u80a9\u5cf0\u4e0b\u649e\u51fb (right shoulder impingement) \u7684\u76ee\u6807\u53d8\u91cf\u3002\u5728\u5229\u7528 GPT-4 \u751f\u6210\u4e34\u5e8a\u8bca\u65ad\u7b14\u8bb0\u65f6\uff0c\u6211\u4eec\u5c06\u907f\u514d\u63d0\u53ca\u9664\u75c7\u72b6\u4e4b\u5916\u7684\u5176\u4ed6\u53d8\u91cf\uff0c\u4ee5\u68c0\u9a8c COAT \u627e\u51fa\u5176\u4ed6\u5c42\u7ea7\u7684\u9ad8\u7ea7\u53d8\u91cf\u7684\u80fd\u529b\u3002\u56fe11\u4e3a\u6837\u672c\u793a\u4f8b\u3002<\/p>\n<p><strong>\u5b9e\u9a8c\u7ed3\u679c<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-6d7a2f53ab9a134408c37cff9e356eae.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-6d7a2f53ab9a134408c37cff9e356eae.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 12. Neuropathic \u76f8\u5173\u56e0\u679c\u56fe.<\/p>\n<p>\u8fd9\u91cc\u91c7\u7528\u4e0e\u524d\u6587\u7c7b\u4f3c\u7684\u8bc4\u4f30\u65b9\u6cd5\u3002\u7531\u4e8e\u539f\u6570\u636e\u96c6\u4e0d\u5b8c\u5168\u6ee1\u8db3\u5fe0\u5b9e\u6027\u5047\u8bbe\uff0c\u8fd9\u91cc\u5b9a\u6027\u5730\u6bd4\u8f83COAT\u751f\u6210\u7684\u56e0\u679c\u56fe\u548c\u7531FCI\u901a\u8fc7\u539f\u6570\u636e\u751f\u6210\u7684\u7ed3\u679c\u3002\u5982\u56fe12\u6240\u793a\uff0c<em>\u76f4\u63a5\u4f7f\u7528 LLMs \u505a\u63a8\u7406\u4e0d\u4f1a\u5bdf\u89c9\u51fa\u7279\u5b9a\u6570\u636e\u96c6\u672c\u8eab\u7684\u6027\u8d28\u6216\u95ee\u9898<\/em>\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-eca4494a60a41845c08bef5157cf4db0.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-eca4494a60a41845c08bef5157cf4db0.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 13. Neuropathic \u5b9e\u9a8c\u7ed3\u679c.<\/p>\n<p>\u5173\u4e8e\u9ad8\u7ea7\u53d8\u91cf\u8bc6\u522b\u7684\u5b9a\u91cf\u5206\u6790\u5982\u56fe13\u6240\u793a\uff0c\u5176\u4e2dPA\u3001AN \u548c OT \u5206\u522b\u4ee3\u8868\u7236\u6bcd\u8282\u70b9\u3001\u7956\u5148\u8282\u70b9\u548c\u5176\u4ed6\u5e94\u5f53\u6392\u9664\u7684\u8282\u70b9\u3002\u51c6\u786e\u6027\u548c F1 \u6d4b\u91cf\u7956\u5148\u8282\u70b9\u7684\u6062\u590d\u60c5\u51b5\u3002\u7c7b\u4f3c\u7684\uff0cCOAT \u76f8\u6bd4\u57fa\u7ebf\u65b9\u6cd5\u6709\u663e\u8457\u7684\u6548\u679c\u3002\u7279\u522b\u662f\uff0c\u7531\u4e8e COAT \u5e76\u4e0d\u91cd\u70b9\u4f9d\u8d56 LLMs\u7684\u63a8\u7406\u80fd\u529b\uff0c\u5728\u8f83\u5f31\u7684 Llama-2-7b \u4e2d\u4e5f\u6709\u4e0d\u9519\u7684\u8868\u73b0\u3002\u76f8\u53cd\uff0cCoT \u5728\u8fd9\u91cc\u5e76\u6ca1\u80fd\u4fdd\u6301\u5176\u5728 AppleGastronome \u4e0a\u8868\u73b0\u3002<\/p>\n<p><strong> \u5384\u5c14\u5c3c\u8bfa\u73b0\u8c61\uff1a\u6848\u4f8b\u5206\u6790<\/strong><\/p>\n<p>ENSO\uff08\u5384\u5c14\u5c3c\u8bfa-\u5357\u65b9\u6d9b\u52a8\uff09\u662f\u53d1\u751f\u5728\u592a\u5e73\u6d0b\u5730\u533a\u7684\u4e00\u79cd\u91cd\u8981\u6c14\u5019\u73b0\u8c61\uff0c\u5176\u4e3b\u8981\u7279\u5f81\u662f\u8d64\u9053\u592a\u5e73\u6d0b\u6d77\u8868\u6e29\u5ea6\u7684\u5468\u671f\u6027\u6ce2\u52a8\uff0c\u5373\u5384\u5c14\u5c3c\u8bfa\u73b0\u8c61\u548c\u62c9\u5c3c\u5a1c\u73b0\u8c61\u3002\u8fd9\u4e9b\u6ce2\u52a8\u4f1a\u5bf9\u5168\u7403\u6c14\u5019\u4ea7\u751f\u91cd\u5927\u5f71\u54cd\uff0c\u5305\u62ec\u964d\u6c34\u3001\u98ce\u66b4\u53d1\u5c55\u548c\u6e29\u5ea6\u5f02\u5e38\u3002\u56e0\u6b64\uff0c\u9884\u6d4b ENSO \u4e8b\u4ef6\u6d89\u53ca\u6d77\u6d0b\u548c\u5927\u6c14\u7cfb\u7edf\u7684\u590d\u6742\u76f8\u4e92\u4f5c\u7528\uff0c\u56e0\u6b64\u4ecd\u7136\u662f\u4e00\u4e2a\u5f00\u653e\u7684\u95ee\u9898\u3002<\/p>\n<p>\u4e3a\u4e86\u7406\u89e3\u5176\u673a\u5236\uff0c\u6211\u4eec\u4f7f\u7528 NOAA\uff08\u7f8e\u56fd\u56fd\u5bb6\u6d77\u6d0b\u548c\u5927\u6c14\u7ba1\u7406\u5c40\uff09\u768420\u4e16\u7eaa\u518d\u5206\u6790V3\u6570\u636e\u96c6 [39] \u8fdb\u884c\u5206\u6790\u3002\u5b83\u5305\u542b\u4e86\u5173\u4e8e\u5730\u7403\u5927\u6c14\u7684\u9ad8\u7ef4\u4fe1\u606f\uff0c\u65f6\u95f4\u8de8\u5ea6\u4ece19\u4e16\u7eaa\u523021\u4e16\u7eaa\u521d\uff0c\u7a7a\u95f4\u8986\u76d6\u8303\u56f4\u7cbe\u7ec6\uff0c\u5305\u62ec360\u00d7181\u4e2a\u7f51\u683c\u3002\u6211\u4eec\u4f7f\u7528\u8fd9\u4e2a\u6570\u636e\u96c6\u7684\u6708\u5ea6\u6570\u636e\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c95182805476e1d20cac77483b9c1d54.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/02\/frc-c95182805476e1d20cac77483b9c1d54.jpeg\"><\/a><\/p>\n<p><\/p>\n<p>\u56fe 14. COAT \u63a2\u7a76 ENSO \u56e0\u679c\u673a\u5236.<\/p>\n<p>\u5982\u56fe14\u6240\u793a\uff0cCOAT\u8bc6\u522b\u51fa13\u4e2a\u5f71\u54cd\u56e0\u7d20\uff0c\u5b83\u4eec\u7684\u77ac\u65f6\u56e0\u679c\u5173\u7cfb\u5728\u56fe7\u4e2d\u8fdb\u884c\u4e86\u53ef\u89c6\u5316\u5c55\u793a\u3002\u76ee\u6807\u53d8\u91cf\u662f\u5c3c\u8bfa3\u533a\u672a\u6765\u6708\u5e73\u5747\u6d77\u8868\u6e29\u5ea6\uff08SST\uff09\u7684\u53d8\u5316\uff0c\u8fd9\u662fENSO\u4e8b\u4ef6\u7684\u91cd\u8981\u6307\u6807\u3002\u6bcf\u4e2a\u56e0\u7d20\u90fd\u662f\u5173\u4e8e\u7279\u5b9a\u533a\u57df\u67d0\u4e00\u6c14\u5019\u6d4b\u91cf\u7684\u65f6\u95f4\u5e8f\u5217\uff0c\u8be5\u6d4b\u91cf\u662f\u5728\u7279\u5b9a\u6c34\u5e73\u4e0a\u7684\u5e73\u5747\u503c\u3002\u5173\u4e8e\u6d77\u5e73\u9762\u6c14\u538b\u3001\u52a8\u91cf\u901a\u91cf\u548c\u4e91\u91cf\u7684\u8def\u5f84\u4e0e\u73b0\u6709\u6587\u732e\u7684\u7406\u89e3\u76f8\u543b\u5408 [40,41,42,43]\u3002\u540c\u65f6\uff0c\u5b83\u8fd8\u63d0\u51fa\u4e86\u51e0\u4e2a\u5728\u6587\u732e\u4e2d\u8f83\u5c11\u63a2\u8ba8\u7684\u5047\u8bbe\u8def\u5f84\uff0c\u4f8b\u5982\u5357\u7f8e\u6d32\u6cbf\u6d77\u5730\u533a\u571f\u58e4\u6e29\u5ea6\u7684\u8def\u5f84\u3002\u8be6\u7ec6\u5185\u5bb9\u8bf7\u53c2\u89c1\u8bba\u6587\u9644\u5f55K\u3002<\/p>\n<p><strong>\u7ed3\u8bed<\/strong><\/p>\n<p>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u6846\u67b6\u7b97\u6cd5 COAT\uff0c\u65e8\u5728\u5c06 LLMs \u4e30\u5bcc\u7684\u77e5\u8bc6\u878d\u5165\u56e0\u679c\u53d1\u73b0\u7684pipeline\u4e2d\u3002\u6211\u4eec\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cCOAT \u6709\u6548\u5730\u6269\u5c55\u4e86\u56e0\u679c\u53d1\u73b0\u7684\u8303\u56f4\uff0c\u4f7f\u5176\u80fd\u591f\u5904\u7406\u975e\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5e76\u901a\u8fc7\u4ece\u539f\u59cb\u89c2\u6d4b\u4e2d\u8bc6\u522b\u51fa\u6709\u7528\u7684\u9ad8\u7ea7\u53d8\u91cf\uff0c\u4e3a\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\u63d0\u4f9b\u4e86\u652f\u6301\u3002COAT \u4e3a\u6784\u5efa\u7528\u4e8e\u53d1\u73b0\u7684\u56e0\u679c\u57fa\u7840\u6a21\u578b\u5f00\u8f9f\u4e86\u65b0\u7684\u8def\u5f84\u3002\u5173\u4e8e\u672a\u6765\u7814\u7a76\u65b9\u5411\u7684\u66f4\u8be6\u7ec6\u8ba8\u8bba\uff0c\u8bf7\u53c2\u89c1\u8bba\u6587\u9644\u5f55B\u3002<\/p>\n<p><strong>\u8054\u7cfb\u6211\u4eec<\/strong><\/p>\n<p>\u6b22\u8fce\u67e5\u9605\u6211\u4eec\u7684\u8bba\u6587\u4ee5\u83b7\u53d6\u7814\u7a76\u5de5\u4f5c\u7684\u66f4\u591a\u7ec6\u8282\u3002\u5982\u6709\u4efb\u4f55\u7591\u95ee\uff0c\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u3002<\/p>\n<p>\u5982\u679c\u60a8\u89c9\u5f97\u6211\u4eec\u7684\u8bba\u6587\u6216\u4ee3\u7801\u5e93\u6709\u5e2e\u52a9\uff0c\u8bf7\u8003\u8651\u5f15\u7528\uff1a<\/p>\n<p>@inproceedings{causalcoat2024,<br \/>title={Discovery of the Hidden World with Large Language Models},\u00a0author={Chenxi Liu and Yongqiang Chen and Tongliang Liu and Mingming Gong and James Cheng and Bo Han and Kun Zhang},year={2024},booktitle={Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems}}<\/p>\n<p><strong>\u8bfe\u9898\u7ec4\u4ecb\u7ecd<\/strong><\/p>\n<p>\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u53ef\u4fe1\u673a\u5668\u5b66\u4e60\u548c\u63a8\u7406\u8bfe\u9898\u7ec4 (TMLR Group) \u7531\u591a\u540d\u9752\u5e74\u6559\u6388\u3001\u535a\u58eb\u540e\u7814\u7a76\u5458\u3001\u535a\u58eb\u751f\u3001\u8bbf\u95ee\u535a\u58eb\u751f\u548c\u7814\u7a76\u52a9\u7406\u5171\u540c\u7ec4\u6210\uff0c\u8bfe\u9898\u7ec4\u96b6\u5c5e\u4e8e\u7406\u5b66\u9662\u8ba1\u7b97\u673a\u7cfb\u3002\u8bfe\u9898\u7ec4\u4e13\u653b\u53ef\u4fe1\u8868\u5f81\u5b66\u4e60\u3001\u53ef\u4fe1\u57fa\u7840\u6a21\u578b\u3001\u57fa\u4e8e\u56e0\u679c\u63a8\u7406\u7684\u53ef\u4fe1\u5b66\u4e60\u7b49\u76f8\u5173\u7684\u7b97\u6cd5\uff0c\u7406\u8bba\u548c\u7cfb\u7edf\u8bbe\u8ba1\u4ee5\u53ca\u5728\u81ea\u7136\u79d1\u5b66\u4e0a\u7684\u5e94\u7528\uff0c\u5177\u4f53\u7814\u7a76\u65b9\u5411\u548c\u76f8\u5173\u6210\u679c\u8be6\u89c1\u672c\u7ec4 GitHub (<br \/>https:\/\/github.com\/tmlr-group)\u3002<\/p>\n<p>\u8bfe\u9898\u7ec4\u7531\u653f\u5e9c\u79d1\u7814\u57fa\u91d1\u4ee5\u53ca\u5de5\u4e1a\u754c\u79d1\u7814\u57fa\u91d1\u8d44\u52a9\uff0c\u5982\u9999\u6e2f\u7814\u7a76\u8d44\u52a9\u5c40\u6770\u51fa\u9752\u5e74\u5b66\u8005\u8ba1\u5212\uff0c\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee\u548c\u9752\u5e74\u9879\u76ee\uff0c\u4ee5\u53ca\u5fae\u8f6f\u3001\u82f1\u4f1f\u8fbe\u3001\u5b57\u8282\u8df3\u52a8\u3001\u767e\u5ea6\u3001\u963f\u91cc\u3001\u817e\u8baf\u7b49\u4f01\u4e1a\u7684\u79d1\u7814\u57fa\u91d1\u3002\u9752\u5e74\u6559\u6388\u548c\u8d44\u6df1\u7814\u7a76\u5458\u624b\u628a\u624b\u5e26\uff0cGPU \u8ba1\u7b97\u8d44\u6e90\u5145\u8db3\uff0c\u957f\u671f\u62db\u6536\u591a\u540d\u535a\u58eb\u540e\u7814\u7a76\u5458\u3001\u535a\u58eb\u751f\u3001\u7814\u7a76\u52a9\u7406\u548c\u7814\u7a76\u5b9e\u4e60\u751f\u3002\u6b64\u5916\uff0c\u672c\u7ec4\u4e5f\u6b22\u8fce\u81ea\u8d39\u7684\u8bbf\u95ee\u535a\u58eb\u540e\u7814\u7a76\u5458\u3001\u535a\u58eb\u751f\u548c\u7814\u7a76\u52a9\u7406\u7533\u8bf7\uff0c\u8bbf\u95ee\u81f3\u5c11 3-6 \u4e2a\u6708\uff0c\u652f\u6301\u8fdc\u7a0b\u8bbf\u95ee\u3002\u6709\u5174\u8da3\u7684\u540c\u5b66\u8bf7\u53d1\u9001\u4e2a\u4eba\u7b80\u5386\u548c\u521d\u6b65\u7814\u7a76\u8ba1\u5212\u5230\u90ae\u7bb1 (bhanml@comp.hkbu.edu.hk)\u3002<\/p>\n<p><strong>\u90e8\u5206\u53c2\u8003\u6587\u732e<\/strong><\/p>\n<p>[1] Norwood Russell Hanson. Patterns of discovery : an inquiry into the conceptual foundations of science. Cambridge University Press, 1958.<\/p>\n<p>[2] Thomas S. Kuhn and David Hawkins. The structure of scientific revolutions. American Journal of Physics, 31:554\u2013555, 1963.<\/p>\n<p>[3] Peter Spirtes, Clark Glymour, and Richard Scheines. Causation, Prediction, and Search, Second Edition. Adaptive computation and machine learning. MIT Press, 2000.<\/p>\n<p>[4] Peter Spirtes, Clark Glymour, Richard Scheines, and Robert Tillman. Automated Search for Causal Relations: Theory and Practice, 2018.<\/p>\n<p>[5] Matthew J. Vowels, Necati Cihan Camgoz, and Richard Bowden. D\u2019ya like dags? a survey on structure learning and causal discovery. ACM Computing Survey, 55(4), 2022.<\/p>\n<p>[6] Bernhard Scholkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio. Towards causal representation learning. arXiv preprint, arXiv:2102.11107, 2021.<\/p>\n<p>[7] Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. Language models are few-shot learners. In Advances in Neural Information Processing Systems, 2020.<\/p>\n<p>[8] OpenAI. Chatgpt. https:\/\/chat.openai.com\/chat\/, 2022.<\/p>\n<p>[9] Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothee Lacroix, Baptiste Rozi `ere, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 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International Journal of Climatology, 36(8):2931\u20132941, 2016.<\/p>\n<p>[43] Anoop Kumar Mishra. Investigating changes in cloud cover using the long-term record of precipitation extremes. Meteorological Applications, 26(1):108\u2013116, 2019.<\/p>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-02-08-9\" target=\"_blank\">NeurIPS 2024 | \u7528LLM\u63a2\u5bfb\u9690\u79d8\u7684\u56e0\u679c\u4e16\u754c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:NeurIPS 202 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[27],"tags":[70,68,55],"class_list":["post-38144","post","type-post","status-publish","format-standard","hentry","category-news","tag-agent","tag-68","tag-55"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - 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