{"id":2661,"date":"2025-03-15T22:09:40","date_gmt":"2025-03-15T14:09:40","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=2661"},"modified":"2025-03-15T22:09:40","modified_gmt":"2025-03-15T14:09:40","slug":"202503-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-biomedical-knowledge-graph-optimized-prompt-generation-for-large-language-models","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202503-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-biomedical-knowledge-graph-optimized-prompt-generation-for-large-language-models\/","title":{"rendered":"202503 \u8bba\u6587\u7814\u8bfb-Biomedical knowledge graph-optimized prompt generation for large language models"},"content":{"rendered":"\n

\u6765\u6e90\uff1aBioinformatics<\/p>\n\n\n\n

\u4f5c\u8005\uff1aKarthik Soman\u3001Rabia E. Akbas\u3001Braian Peetoom\u3001Gabriel Cerono\u7b49<\/p>\n\n\n\n

\u5355\u4f4d: University of California\u3001Institute for Systems Biology<\/p>\n\n\n\n

\u53d1\u8868\u65f6\u95f4\uff1a2024\u5e7409\u6708<\/p>\n\n\n\n

\u4e00\u3001\u8bba\u6587\u4ecb\u7ecd<\/h2>\n\n\n\n

\u80cc\u666f\uff1a\u5f53\u524d\uff0c\u5c3d\u7ba1LLM\u5728\u901a\u7528\u4efb\u52a1\u4e2d\u8868\u73b0\u4f18\u5f02\uff0c\u4f46\u5f00\u6e90\u6a21\u578b\u5728\u533b\u7597\u9886\u57df\u9762\u4e34\u77e5\u8bc6\u5c40\u9650\u6027\u3001\u5e7b\u89c9\u98ce\u9669\u548c\u9690\u79c1\u62c5\u5fe7\u4e09\u5927\u6311\u6218\u3002\u5c3d\u7ba1\u6709\u9884\u8bad\u7ec3\u548c\u7279\u5b9a\u9886\u57df\u5fae\u8c03\u7b49\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u8fd9\u4e9b\u65b9\u6cd5\u589e\u52a0\u4e86\u8ba1\u7b97\u5f00\u9500\u548c\u9886\u57df\u4e13\u4e1a\u77e5\u8bc6\u7684\u9700\u6c42\u3002<\/p>\n\n\n\n

\u6838\u5fc3\uff1a\u57fa\u4e8e\u4e0a\u8ff0\u80cc\u666f\uff0c\u672c\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u4e2a\u540d\u4e3aKG-RAG\u7684\u6846\u67b6\uff0c\u901a\u8fc7\u7ed3\u5408\u77e5\u8bc6\u56fe\u8c31\u548cLLM\uff0c\u663e\u8457\u63d0\u9ad8\u4e86LLM\u5728\u751f\u7269\u533b\u5b66\u9886\u57df\u95ee\u7b54\u4efb\u52a1\u4e2d\u7684\u6027\u80fd\u3002\u8be5\u6846\u67b6\u5229\u7528SPOKE\u77e5\u8bc6\u56fe\u8c31\u63d0\u4f9b\u4e30\u5bcc\u7684\u751f\u7269\u533b\u5b66\u80cc\u666f\u77e5\u8bc6\uff0c\u901a\u8fc7\u4f18\u5316\u7684\u68c0\u7d22\u548c\u751f\u6210\u673a\u5236\uff0c\u51cf\u5c11\u4e86token\u4f7f\u7528\u91cf\uff0c\u63d0\u9ad8\u4e86\u6a21\u578b\u7684\u6548\u7387\u548c\u9c81\u68d2\u6027\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u6574\u4f53\u6846\u67b6<\/h2>\n\n\n\n
    \n
  1. KG-RAG\u6846\u67b6\uff1a\u5c55\u793a\u4e86KG-RAG\u6846\u67b6\u7684\u67b6\u6784\uff0c\u5305\u62ec\u75be\u75c5\u5b9e\u4f53\u8bc6\u522b\u3001\u75be\u75c5\u4e0a\u4e0b\u6587\u68c0\u7d22\u3001\u4e0a\u4e0b\u6587\u4fee\u526a\u3001\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7b49\u6b65\u9aa4\u3002\u5728\u533b\u7597\u95ee\u7b54\u7cfb\u7edf\u4e2d\uff0c\u7528\u6237\u8f93\u5165\u7684\u63d0\u793a\u9996\u5148\u88ab\u4f20\u9012\u5230\u75be\u75c5\u5b9e\u4f53\u8bc6\u522b\u6a21\u5757\uff0c\u4ee5\u8bc6\u522b\u51fa\u7279\u5b9a\u7684\u75be\u75c5\u5b9e\u4f53\u3002\u63a5\u7740\uff0c\u7cfb\u7edf\u5229\u7528\u8fd9\u4e2a\u75be\u75c5\u5b9e\u4f53\u5728\u56fe\u6570\u636e\u5e93\u4e2d\u8fdb\u884c\u67e5\u8be2\uff0c\u63d0\u53d6\u4e0e\u8be5\u75be\u75c5\u76f8\u5173\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u7136\u540e\uff0c\u8fd9\u4e9b\u4fe1\u606f\u88ab\u8f6c\u6362\u4e3a\u81ea\u7136\u8bed\u8a00\u6587\u672c\uff0c\u5e76\u6839\u636e\u7528\u6237\u63d0\u793a\u8fdb\u884c\u4e0a\u4e0b\u6587\u4fee\u526a\uff0c\u4ee5\u786e\u4fdd\u53ea\u6709\u6700\u76f8\u5173\u7684\u4fe1\u606f\u88ab\u7528\u4e8e\u751f\u6210\u56de\u7b54\u3002\u6700\u540e\uff0c\u4fee\u526a\u540e\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u88ab\u8f93\u5165\u5230\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4e2d\uff0c\u751f\u6210\u6700\u7ec8\u7684\u8f93\u51fa\u7ed3\u679c\u3002\u6574\u4e2a\u6d41\u7a0b\u5c55\u793a\u4e86\u5982\u4f55\u4ece\u7528\u6237\u63d0\u793a\u51fa\u53d1\uff0c\u901a\u8fc7\u75be\u75c5\u5b9e\u4f53\u8bc6\u522b\u3001\u56fe\u6570\u636e\u5e93\u67e5\u8be2\u3001\u4e0a\u4e0b\u6587\u63d0\u53d6\u548c\u8f6c\u6362\uff0c\u6700\u7ec8\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u751f\u6210\u51c6\u786e\u7684\u56de\u7b54\u3002<\/li>\n<\/ol>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    2. KG-RAG\u8be6\u7ec6\u56fe\uff1a\u5c55\u793a\u4e86KG-RAG\u6846\u67b6\u4e2d\u75be\u75c5\u5b9e\u4f53\u8bc6\u522b\u548c\u5373\u65f6\u611f\u77e5\u4e0a\u4e0b\u6587\u63d0\u53d6\u7684\u7ec6\u8282\uff0c\u5305\u62ec\u5b9e\u4f53\u63d0\u53d6\u3001\u5b9e\u4f53\u5339\u914d\u3001\u4e0a\u4e0b\u6587\u63d0\u53d6\u3001\u8c13\u8bcd\u5230\u81ea\u7136\u8bed\u8a00\u7684\u8f6c\u6362\u7b49\u6b65\u9aa4\u3002<\/p>\n\n\n\n

    \u75be\u75c5\u5b9e\u4f53\u8bc6\u522b
    \u7528\u6237\u63d0\u793a\u8f93\u5165\uff1a\u7528\u6237\u8f93\u5165\u4e00\u4e2a\u5173\u4e8e\u201c\u4e0e\u6025\u6027\u5355\u6838\u7ec6\u80de\u767d\u8840\u75c5\u76f8\u5173\u7684\u57fa\u56e0\u201d\u7684\u95ee\u9898\u3002
    \u5b9e\u4f53\u63d0\u53d6\uff1a\u7cfb\u7edf\u4f7f\u7528\u4e00\u4e2a\u9884\u8bad\u7ec3\u7684\u8bed\u8a00\u6a21\u578b\uff08\u5982GPT-3.5-Turbo\uff09\u4ece\u7528\u6237\u63d0\u793a\u4e2d\u8bc6\u522b\u548c\u63d0\u53d6\u51fa\u7279\u5b9a\u7684\u75be\u75c5\u5b9e\u4f53\uff0c\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\u662f\u201c\u6025\u6027\u5355\u6838\u7ec6\u80de\u767d\u8840\u75c5\u201d\u3002
    \u75be\u75c5\u6f5c\u5728\u7a7a\u95f4\uff1a\u63d0\u53d6\u51fa\u7684\u75be\u75c5\u5b9e\u4f53\u88ab\u6620\u5c04\u5230\u4e00\u4e2a\u6f5c\u5728\u7a7a\u95f4\uff0c\u8fd9\u4e2a\u7a7a\u95f4\u53ef\u80fd\u5305\u542b\u4e86\u75be\u75c5\u7684\u591a\u79cd\u7279\u5f81\u548c\u76f8\u5173\u4fe1\u606f\uff0c\u7528\u4e8e\u540e\u7eed\u7684\u5339\u914d\u548c\u68c0\u7d22\u3002
    \u4e0a\u4e0b\u6587\u4fee\u526a\uff1a\u6839\u636e\u7528\u6237\u63d0\u793a\uff0c\u7cfb\u7edf\u4f7f\u7528\u63d0\u793a-\u4e0a\u4e0b\u6587\u5339\u914d\u6280\u672f\u4ece\u8f6c\u6362\u540e\u7684\u81ea\u7136\u8bed\u8a00\u6587\u672c\u4e2d\u63d0\u53d6\u4e0e\u95ee\u9898\u6700\u76f8\u5173\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u8fd9\u4e00\u6b65\u9aa4\u786e\u4fdd\u4e86\u53ea\u6709\u6700\u76f8\u5173\u7684\u4fe1\u606f\u88ab\u7528\u4e8e\u751f\u6210\u56de\u7b54\u3002<\/p>\n\n\n\n

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

    \u4e09\u3001\u5b9e\u9a8c\u5185\u5bb9<\/h2>\n\n\n\n

    \u9a8c\u8bc1KG-RAG\u6846\u67b6\u4f18\u52bf\uff1a\u6bd4\u8f83GPT-4\u5728\u6ca1\u6709\u77e5\u8bc6\u56fe\u8c31\u652f\u6301\u7684\u60c5\u51b5\u4e0b\u4e0e\u4f7f\u7528KG-RAG\u6846\u67b6\u65f6\u7684\u56de\u7b54\u5dee\u5f02\uff0c\u7a81\u51faKG-RAG\u5728\u63d0\u4f9b\u66f4\u51c6\u786e\u548c\u8be6\u7ec6\u56de\u7b54\u65b9\u9762\u7684\u4f18\u52bf<\/p>\n\n\n\n

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

    \u8d85\u53c2\u6570\u5206\u6790\u4e0eRAG\u6bd4\u8f83\uff1aA\u90e8\u5206\u662f\u4f7f\u7528\u63d0\u793a\u7b26\u7684\u8d85\u53c2\u6570\u5206\u6790\u6027\u80fd\u66f2\u7ebf\uff0cB\u90e8\u5206\u662fKG-RAG\u3001Cypher-RAG\u548c\u4f7f\u7528Apache Lucene\u7684\u5168\u6587\u7d22\u5f15\u5728\u68c0\u7d22\u7cbe\u5ea6\u548c\u4ee4\u724c\u4f7f\u7528\u65b9\u9762\u7684\u5bf9\u6bd4\u5206\u6790<\/p>\n\n\n\n

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

    \u4e09\u4e2aLLM\u5728True\/False\u548cMCQ\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\uff1a\u5728KG-RAG\u6846\u67b6\u4e0b\uff0cLLM\u6a21\u578b\u5728True\/False\u548cMCQ\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u90fd\u6709\u4e00\u81f4\u7684\u63d0\u9ad8<\/p>\n\n\n\n

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

    \u6bd4\u8f83\u57fa\u4e8e\u63d0\u793a\u7684\u65b9\u6cd5\u548c\u57fa\u4e8eKG-RAG\u7684\u65b9\u6cd5\u5728\u4e0d\u540cLLM\u4e0a\u7684\u6027\u80fd\u8868\u73b0\uff1a\u6709\u56fe\u53ef\u77e5\uff0c\u57fa\u4e8eKG-RAG\u7684\u65b9\u6cd5\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u8868\u73b0\u66f4\u597d\uff0c\u5c24\u5176\u662f\u5728True\/False\u6570\u636e\u96c6\u4e0a\u3002\u8fd9\u8868\u660eKG-RAG\u5728\u5904\u7406\u9700\u8981\u7cbe\u786e\u77e5\u8bc6\u68c0\u7d22\u7684\u4efb\u52a1\u65f6\u5177\u6709\u4f18\u52bf\u3002<\/p>\n\n\n\n

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

    \u56db\u3001\u8bba\u6587\u603b\u7ed3<\/h2>\n\n\n\n

    \u8fd9\u7bc7\u8bba\u6587\u63d0\u51fa\u4e86\uff0c\u4e00\u4e2a\u77e5\u8bc6\u56fe\u8c31\u589e\u5f3a\u68c0\u7d22\u751f\u6210\u6846\u67b6KG-RAG\uff0c\u5176\u4e2dKG-RAG\u7684\u8d21\u732e\u548c\u7f3a\u70b9\u53ef\u603b\u7ed3\u4e3a\u4e09\u70b9\uff1a
    1. \u6807\u8bb0\u9ad8\u6548\u4f18\u5316\uff1a \u5d4c\u5165\u9a71\u52a8\u7684\u4e0a\u4e0b\u6587\u526a\u88c1\u4e0e\u6700\u5c0f\u56fe\u8c31\u63d0\u53d6\uff0c\u53ef\u8282\u7701\u8d8550%\u4ee4\u724c\u5f00\u9500\uff0c\u663e\u8457\u4f18\u5316RAG\u5728\u751f\u7269\u533b\u5b66\u573a\u666f\u7684\u90e8\u7f72\u6210\u672c\u3002
    2. \u89e3\u51b3 LLM \u5e7b\u89c9\u95ee\u9898\u5e76\u63d0\u9ad8\u6027\u80fd\uff1aKG-RAG \u5c06 SPOKE KG \u77e5\u8bc6\u878d\u5165 LLM\uff0c\u907f\u514d\u5e7b\u89c9\u4fe1\u606f\uff0c\u751f\u6210\u5e26\u51fa\u5904\u548c\u7edf\u8ba1\u8bc1\u636e\u7684\u53ef\u9760\u751f\u7269\u533b\u5b66\u6587\u672c\uff1b
    3. \u9886\u57df\u4e0e\u66f4\u65b0\u5c40\u9650 \uff1a\u4f9d\u8d56\u4e8eLLM\u6a21\u578b\u9009\u62e9\u548c\u66f4\u65b0\uff0c\u5bf9\u77e5\u8bc6\u56fe\u8c31\u8d28\u91cf\u548c\u66f4\u65b0\u6709\u8f83\u9ad8\u8981\u6c42\uff0c\u4e14\u51b3\u7b56\u8fc7\u7a0b\u53ef\u89e3\u91ca\u6027\u4e0d\u8db3\u3002<\/p>\n\n\n\n

    \u4e94\u3001\u5bf9\u9f50\u601d\u8003<\/h2>\n\n\n\n

    KG-RAG\u6846\u67b6\u7684\u7814\u7a76\u4e3a\u4e2d\u897f\u533b\u7ed3\u5408\u6162\u75c5\u8c03\u7406\u7684\u77e5\u8bc6\u95ee\u7b54\u7cfb\u7edf\u63d0\u4f9b\u4e86\u5173\u952e\u6280\u672f\u542f\u793a\uff1a
    1.\u77e5\u8bc6\u878d\u5408\u4f18\u5316\uff1a\u501f\u9274\u6700\u5c0f\u56fe\u6a21\u5f0f\u4e0e\u5d4c\u5165\u526a\u88c1\u7b56\u7565\uff0c\u8de8\u57df\u6574\u5408\u4e2d\u533b\u75c7\u5019\u3001\u897f\u533b\u75c5\u7406\u7b49\u5f02\u6784\u5b9e\u4f53\uff0c\u964d\u4f4e50%\u4ee5\u4e0a\u77e5\u8bc6\u68c0\u7d22\u5197\u4f59\uff0c\u652f\u6301\u9ad8\u6548\u77e5\u8bc6\u878d\u5408\u3002
    2.\u53ef\u4fe1\u6765\u6e90\u951a\u5b9a\uff1a\u7ed3\u5408SPOKE\u5f0f\u7684\u6eaf\u6e90\u673a\u5236\uff0c\u878d\u5408\u53e4\u7c4d\u6587\u732e\u4e0e\u73b0\u4ee3\u5faa\u8bc1\u8bc1\u636e\uff0c\u589e\u5f3a\u7b54\u6848\u7684\u53ef\u89e3\u91ca\u6027\uff0c\u5b9e\u73b0\u4e2d\u897f\u533b\u7406\u8bba\u7684\u6e90\u5934\u4e92\u8bc1\u3002
    3.\u77e5\u8bc6\u56fe\u8c31\u66f4\u65b0\uff1a\u5efa\u7acb\u77e5\u8bc6\u56fe\u8c31\u66f4\u65b0\u673a\u5236\uff0c\u5b9a\u671f\u4ece\u6700\u65b0\u6587\u732e\u3001\u6570\u636e\u5e93\u7b49\u6765\u6e90\u83b7\u53d6\u4fe1\u606f\uff0c\u786e\u4fdd\u77e5\u8bc6\u7684\u65f6\u6548\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n

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

    \u6765\u6e90\uff1aBioinformatics \u4f5c\u8005\uff1aKarthik Soman\u3001Rabia E. Akbas\u3001Braia […]<\/p>\n","protected":false},"author":61,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2661","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2661","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\/61"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=2661"}],"version-history":[{"count":2,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2661\/revisions"}],"predecessor-version":[{"id":2670,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/2661\/revisions\/2670"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=2661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=2661"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=2661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}