{"id":25660,"date":"2025-04-29T10:25:04","date_gmt":"2025-04-29T02:25:04","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=25660"},"modified":"2025-04-29T10:25:04","modified_gmt":"2025-04-29T02:25:04","slug":"adaptive-rag%ef%bc%9a%e8%ae%a9%e6%a3%80%e7%b4%a2%e5%a2%9e%e5%bc%ba%e7%94%9f%e6%88%90%e6%9b%b4%e6%99%ba%e8%83%bd","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/04\/29\/25660\/","title":{"rendered":"Adaptive-RAG\uff1a\u8ba9\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u66f4\u667a\u80fd"},"content":{"rendered":"
\u672c\u6587\u6765\u804a\u804a\u4e00\u79cd\u5168\u65b0\u7684\u65b9\u6cd5\uff0c\u6765\u81ea\u97e9\u56fd\u79d1\u5b66\u6280\u672f\u9662\u53d1\u8868\u57282024 NAACL\u4e0a\u7684\u4e00\u7bc7\u5de5\u4f5c\uff1a\u81ea\u9002\u5e94\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08Adaptive Retrieval-Augmented Generation\uff0cAdaptive-RAG\uff09\u3002<\/div>\n
\n
\n

\"\"<\/p>\n

\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0c\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08Retrieval-Augmented Generation\uff0cRAG\uff09\u4e00\u76f4\u662f\u7814\u7a76\u70ed\u70b9\u3002\u5b83\u901a\u8fc7\u7ed3\u5408\u68c0\u7d22\u548c\u751f\u6210\u6280\u672f\uff0c\u4e3a\u95ee\u7b54\u7cfb\u7edf\u5e26\u6765\u4e86\u66f4\u5f3a\u5927\u7684\u6027\u80fd\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684RAG\u65b9\u6cd5\u5e76\u975e\u5b8c\u7f8e\u65e0\u7f3a\u3002\u5b83\u4eec\u5728\u5904\u7406\u591a\u8df3\u63a8\u7406\u6216\u591a\u6b65\u9aa4\u63a8\u7406\u95ee\u9898\u65f6\u53ef\u80fd\u529b\u4e0d\u4ece\u5fc3\uff0c\u800c\u4e14\u5f80\u5f80\u7f3a\u4e4f\u5bf9\u68c0\u7d22\u5230\u7684\u4fe1\u606f\u7684\u6709\u6548\u5229\u7528\u80fd\u529b\u3002<\/p>\n

\u4eca\u5929\uff0c\u5c31\u6765\u804a\u804a\u4e00\u79cd\u5168\u65b0\u7684\u65b9\u6cd5\uff0c\u6765\u81ea\u97e9\u56fd\u79d1\u5b66\u6280\u672f\u9662\u53d1\u8868\u57282024 NAACL\u4e0a\u7684\u4e00\u7bc7\u5de5\u4f5c\uff1a\u81ea\u9002\u5e94\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08Adaptive Retrieval-Augmented Generation\uff0cAdaptive-RAG\uff09\u3002<\/p>\n

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

1\u3001\u7814\u7a76\u52a8\u673a<\/h3>\n

\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4e0d\u96be\u53d1\u73b0\uff0c\u5e76\u975e\u6240\u6709\u95ee\u7b54\u573a\u666f\u90fd\u662f\u590d\u6742\u8bf7\u6c42\u3002\u6709\u4e9b\u95ee\u9898\u7b80\u5355\u5230\u76f4\u63a5\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5c31\u80fd\u8f7b\u677e\u56de\u7b54\uff0c\u800c\u6709\u4e9b\u95ee\u9898\u5219\u9700\u8981\u4ece\u591a\u4e2a\u6587\u6863\u4e2d\u7efc\u5408\u4fe1\u606f\u5e76\u8fdb\u884c\u591a\u6b65\u63a8\u7406\u3002\u8fd9\u5c31\u5bfc\u81f4\u4e86\u4e00\u4e2a\u95ee\u9898\uff1a\u5982\u679c\u5bf9\u6240\u6709\u95ee\u9898\u90fd\u91c7\u7528\u590d\u6742\u7684RAG\u7b56\u7565\uff0c\u65e0\u7591\u4f1a\u9020\u6210\u8d44\u6e90\u6d6a\u8d39\uff1b\u800c\u5982\u679c\u5bf9\u590d\u6742\u95ee\u9898\u53ea\u4f7f\u7528\u7b80\u5355\u7684LLM\u65b9\u6cd5\uff0c\u53c8\u65e0\u6cd5\u5f97\u5230\u51c6\u786e\u7684\u7b54\u6848\u3002\u90a3\u4e48\uff0c\u5982\u4f55\u5728\u6548\u7387\u548c\u51c6\u786e\u6027\u4e4b\u95f4\u627e\u5230\u4e00\u4e2a\u5e73\u8861\u70b9\u5462\uff1fAdaptive-RAG\u5e94\u8fd0\u800c\u751f\u3002<\/p>\n

2\u3001\u65b9\u6cd5\u4ecb\u7ecd<\/h3>\n

\u73b0\u6709LLMs\u95ee\u7b54\u7b56\u7565<\/h4>\n

\u5728\u6df1\u5165\u63a2\u8ba8Adaptive-RAG\u4e4b\u524d\uff0c\u5148\u6765\u4e86\u89e3\u4e00\u4e0b\u73b0\u6709\u7684LLM\u95ee\u7b54\u7b56\u7565\u3002<\/p>\n

    \n
  1. \u975e\u68c0\u7d22\u65b9\u6cd5\uff08Non-Retrieval for QA\uff09<\/strong>\uff1a\u5bf9\u4e8e\u4e00\u4e9b\u7b80\u5355\u7684\u67e5\u8be2\uff0cLLM\u53ef\u4ee5\u76f4\u63a5\u751f\u6210\u7b54\u6848\uff0c\u65e0\u9700\u8fdb\u884c\u989d\u5916\u7684\u6587\u6863\u68c0\u7d22\u3002\u4e0d\u8fc7\uff0c\u5f53\u95ee\u9898\u6d89\u53ca\u5230\u9700\u8981\u7cbe\u786e\u6216\u6700\u65b0\u7684\u77e5\u8bc6\u65f6\uff0c\u5982\u7279\u5b9a\u4eba\u7269\u3001\u4e8b\u4ef6\u6216\u5176\u4ed6\u8d85\u51fa LLM \u5185\u90e8\u77e5\u8bc6\u8303\u56f4\u7684\u4e3b\u9898\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5c31\u663e\u5f97\u6709\u4e9b\u529b\u4e0d\u4ece\u5fc3\u4e86\u3002<\/li>\n
  2. \u5355\u6b65\u68c0\u7d22\u65b9\u6cd5\uff08Single-step Approach for QA\uff09<\/strong>\uff1a\u5f53LLM\u65e0\u6cd5\u76f4\u63a5\u56de\u7b54\u95ee\u9898\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u5916\u90e8\u77e5\u8bc6\u6267\u884c\u4e00\u6b21\u68c0\u7d22\u64cd\u4f5c\uff0c\u7136\u540e\u6839\u636e\u68c0\u7d22\u5230\u7684\u4fe1\u606f\u751f\u6210\u7b54\u6848\u3002\u8fd9\u79cd\u65b9\u6cd5\u80fd\u591f\u4e3aLLM\u7f3a\u4e4f\u5185\u90e8\u77e5\u8bc6\u63d0\u4f9b\u8865\u5145\u4e0a\u4e0b\u6587\uff0c\u4ece\u800c\u63d0\u5347\u95ee\u7b54\u7684\u51c6\u786e\u6027\u548c\u65f6\u6548\u6027\u3002<\/li>\n
  3. \u591a\u6b65\u68c0\u7d22\u65b9\u6cd5\uff08Multi-step Approach for QA\uff09<\/strong>\uff1a\u5728\u591a\u6b65\u65b9\u6cd5\u4e2d\uff0cLLM\u4e0e\u68c0\u7d22\u6a21\u578b\u8fdb\u884c\u591a\u8f6e\u4ea4\u4e92\uff0c\u9010\u6b65\u5b8c\u5584\u5bf9\u67e5\u8be2\u7684\u7406\u89e3\uff0c\u76f4\u5230\u6700\u7ec8\u5f62\u6210\u7b54\u6848\u3002\u8fd9\u79cd\u65b9\u6cd5\u80fd\u591f\u4e3aLLM\u6784\u5efa\u66f4\u5168\u9762\u7684\u77e5\u8bc6\u57fa\u7840\uff0c\u7279\u522b\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u591a\u8df3\u67e5\u8be2\uff0c\u4f46\u662f\u4f1a\u6709\u66f4\u5927\u7684\u8ba1\u7b97\u548c\u8d44\u6e90\u5f00\u9500\u3002<\/li>\n<\/ol>\n

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

    Adaptive-RAG<\/h4>\n

    \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5e76\u975e\u6240\u6709\u7528\u6237\u7684\u67e5\u8be2\u90fd\u5177\u6709\u76f8\u540c\u7684\u590d\u6742\u7a0b\u5ea6\uff0c\u56e0\u6b64\u9700\u8981\u9488\u5bf9\u6bcf\u4e2a\u67e5\u8be2\u5b9a\u5236\u5904\u7406\u7b56\u7565\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u5bf9\u4e8e\u590d\u6742\u67e5\u8be2\uff0c\u5982\u679c\u53ea\u4f7f\u7528\u6700\u57fa\u672c\u3001\u4e0d\u5e26\u68c0\u7d22\u7684 LLM \u65b9\u6cd5\uff08LLM(q)\uff09\uff0c\u5219\u4f1a\u65e0\u6548\uff1b\u76f8\u53cd\uff0c\u5bf9\u4e8e\u7b80\u5355\u67e5\u8be2\uff0c\u5982\u679c\u91c7\u7528\u66f4\u590d\u6742\u7684\u591a\u6b65\u9aa4\u65b9\u6cd5\uff08LLM(q, d, c)\uff09\uff0c\u5219\u4f1a\u5bfc\u81f4\u8d44\u6e90\u6d6a\u8d39\u3002\u56e0\u6b64\uff0cAdaptive-RAG \u8bd5\u56fe\u627e\u5230\u4e00\u4e2a\u5e73\u8861\u70b9\uff0c\u4ee5\u63d0\u9ad8\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n

      \n
    • \u67e5\u8be2\u590d\u6742\u5ea6\u8bc4\u4f30
      \nAdaptive-RAG \u7684\u5173\u952e\u6b65\u9aa4\u662f\u786e\u5b9a\u7ed9\u5b9a\u67e5\u8be2\u7684\u590d\u6742\u5ea6<\/strong>\uff0c\u4ece\u800c\u9009\u62e9\u6700\u5408\u9002\u7684\u56de\u7b54\u7b56\u7565\u3002\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u672c\u6587\u8bad\u7ec3\u4e86\u4e00\u4e2a\u5c0f\u578b\u7684\u8bed\u8a00\u6a21\u578b\u4f5c\u4e3a\u5206\u7c7b\u5668\uff0c\u7528\u6765\u9884\u6d4b\u5373\u5c06\u5230\u8fbe\u7684\u67e5\u8be2\u7684\u590d\u6742\u5ea6\u7ea7\u522b\u3002
      \n\u5177\u4f53\u6765\u8bf4\uff0c\u5bf9\u4e8e\u7ed9\u5b9a\u7684\u67e5\u8be2 q\uff0c\u5206\u7c7b\u5668\u53ef\u4ee5\u88ab\u516c\u5f0f\u5316\u4e3a\uff1ao = Classifier(q)\uff0c\u5176\u4e2d Classifier \u662f\u4e00\u4e2a\u5c0f\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u5b83\u88ab\u8bad\u7ec3\u7528\u6765\u5206\u7c7b\u4e09\u4e2a\u4e0d\u540c\u7684\u590d\u6742\u5ea6\u7b49\u7ea7\uff0c\u800c o \u5219\u662f\u5176\u5bf9\u5e94\u7684\u7c7b\u522b\u6807\u7b7e\u3002
      \n\u5728\u8bbe\u8ba1\u4e2d\uff0c\u6709\u4e09\u4e2a\u7c7b\u522b\u6807\u7b7e\uff1a<\/li>\n<\/ul>\n

      a. ‘A’\u00a0\u8868\u793a\u67e5\u8be2 q \u76f4\u63a5\u4e14\u53ef\u4ee5\u7528 LLM(q) \u81ea\u8eab\u56de\u7b54\u3002<\/p>\n

      b. ‘B’\u00a0\u8868\u793a\u67e5\u8be2 q \u5177\u6709\u4e2d\u7b49\u590d\u6742\u5ea6\uff0c\u81f3\u5c11\u9700\u8981\u5355\u6b65\u65b9\u6cd5 LLM(q, d) \u6765\u89e3\u51b3\u3002<\/p>\n

      c. ‘C’\u00a0\u8868\u793a\u67e5\u8be2 q \u590d\u6742\uff0c\u9700\u8981\u6700\u5168\u9762\u7684\u65b9\u6cd5 LLM(q, d, c) \u6765\u89e3\u51b3\u3002<\/p>\n

        \n
      • \u8bad\u7ec3\u7b56\u7565
        \n\u4f7f\u7528T5-Large\uff08770M\uff09\u6a21\u578b\u4f5c\u4e3a\u67e5\u8be2\u590d\u6742\u6027\u5206\u7c7b\u5668\uff0c\u5bf9\u4e8e\u5206\u7c7b\u5668\u7684\u8bad\u7ec3\uff0c\u5173\u952e\u6b65\u9aa4\u662f\u5982\u4f55\u51c6\u786e\u9884\u6d4b\u67e5\u8be2 q \u7684\u590d\u6742\u5ea6 o\u3002\u7136\u800c\uff0c\u73b0\u5b9e\u4e2d\u5e76\u4e0d\u5b58\u5728\u5e26\u6709\u67e5\u8be2\u590d\u6742\u5ea6\u6807\u6ce8\u7684\u6570\u636e\u96c6\u3002\u56e0\u6b64\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e24\u79cd\u7279\u5b9a\u7b56\u7565\u6765\u81ea\u52a8\u6784\u5efa\u8bad\u7ec3\u6570\u636e\u96c6\uff1a
        \n\u901a\u8fc7\u8fd9\u4e24\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5728\u65e0\u9700\u4eba\u5de5\u6807\u6ce8\u7684\u60c5\u51b5\u4e0b\u6784\u9020\u51fa\u9002\u5408\u8bad\u7ec3\u5206\u7c7b\u5668\u7684\u6570\u636e\u96c6\u3002\u8fd9\u79cd\u81ea\u52a8\u5316\u6536\u96c6\u6807\u7b7e\u7684\u65b9\u6cd5\u4e0d\u4ec5\u51cf\u5c11\u4e86\u4eba\u529b\u6210\u672c\uff0c\u8fd8\u786e\u4fdd\u4e86\u6570\u636e\u96c6\u7684\u4e00\u81f4\u6027\u548c\u5ba2\u89c2\u6027\uff0c\u4f7f\u5f97\u5206\u7c7b\u5668\u80fd\u591f\u5b66\u4e60\u5230\u4e0d\u540c\u7c7b\u578b\u7684\u67e5\u8be2\u7279\u5f81\uff0c\u5e76\u51c6\u786e\u5730\u5bf9\u65b0\u67e5\u8be2\u8fdb\u884c\u590d\u6742\u5ea6\u5206\u7c7b\u3002<\/li>\n<\/ul>\n
          \n
        1. \u57fa\u4e8e\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u7684\u81ea\u52a8\u6807\u6ce8<\/strong>\uff1a
          \n\u5982\u679c\u6700\u7b80\u5355\u7684\u975e\u68c0\u7d22\u65b9\u6cd5 LLM(q) \u80fd\u6b63\u786e\u751f\u6210\u7b54\u6848\uff0c\u5219\u5c06\u5bf9\u5e94\u7684\u67e5\u8be2\u6807\u8bb0\u4e3a ‘A’\u3002
          \n\u5982\u679c\u591a\u6b65\u9aa4\u65b9\u6cd5 LLM(q, d, c) \u80fd\u6b63\u786e\u751f\u6210\u7b54\u6848\uff0c\u800c\u975e\u68c0\u7d22\u65b9\u6cd5 LLM(q) \u4e0d\u80fd\uff0c\u5219\u5c06\u67e5\u8be2\u6807\u8bb0\u4e3a ‘B’ \u6216 ‘C’\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u662f\u5426\u8fd8\u6709\u66f4\u590d\u6742\u7684\u67e5\u8be2\u672a\u88ab\u6807\u8bb0\u3002<\/li>\n
        2. \u5229\u7528\u6570\u636e\u96c6\u4e2d\u7684\u56fa\u6709\u5f52\u7eb3\u504f\u89c1<\/strong>\uff1a\u4e00\u4e9b\u6570\u636e\u96c6\u672c\u8eab\u5df2\u7ecf\u8bbe\u8ba1\u6210\u5305\u542b\u7528\u4e8e\u5355\u6b65\u6216\u591a\u91cd\u63a8\u7406\u7684\u95ee\u9898\uff0c\u8fd9\u4e9b\u4fe1\u606f\u53ef\u4ee5\u4f5c\u4e3a\u8f85\u52a9\u6765\u5e2e\u52a9\u6807\u6ce8\u67e5\u8be2\u7684\u590d\u6742\u5ea6\u3002\u5bf9\u4e8e\u90a3\u4e9b\u521d\u6b21\u6807\u6ce8\u540e\u4ecd\u672a\u83b7\u5f97\u6807\u7b7e\u7684\u67e5\u8be2\uff0c\u5982\u679c\u5b83\u4eec\u6765\u81ea\u5355\u8df3\u6570\u636e\u96c6\uff0c\u5219\u6807\u8bb0\u4e3a ‘B’\uff1b\u5982\u679c\u662f\u591a\u8df3\u6570\u636e\u96c6\uff0c\u5219\u6807\u8bb0\u4e3a ‘C’\u3002<\/li>\n<\/ol>\n

          3\u3001\u5b9e\u9a8c\u914d\u7f6e<\/h3>\n

          \u6570\u636e\u96c6<\/h4>\n

          \u5355\u8df3\u95ee\u7b54\u6570\u636e\u96c6\uff08Single-hop QA\uff09\uff1a\u7528\u4e8e\u6a21\u62df\u7b80\u5355\u67e5\u8be2\u7684\u573a\u666f\uff0c\u5305\u62ec\u4ee5\u4e0b\u4e09\u4e2a\u57fa\u51c6\u6570\u636e\u96c6\uff1a<\/p>\n

            \n
          • SQuAD v1.1\uff1a\u7531\u6807\u6ce8\u8005\u6839\u636e\u6587\u6863\u7f16\u5199\u95ee\u9898\u800c\u521b\u5efa\u7684\u6570\u636e\u96c6\u3002<\/li>\n
          • Natural Questions\uff1a\u7531Google\u641c\u7d22\u7684\u771f\u5b9e\u7528\u6237\u67e5\u8be2\u6784\u5efa\u7684\u6570\u636e\u96c6\u3002<\/li>\n
          • TriviaQA\uff1a\u5305\u542b\u6765\u81ea\u5404\u79cd\u95ee\u7b54\u7f51\u7ad9\u7684\u7410\u4e8b\u95ee\u9898\u3002<\/li>\n<\/ul>\n

            \u591a\u8df3\u95ee\u7b54\u6570\u636e\u96c6\uff08Multi-hop QA\uff09\uff1a\u7528\u4e8e\u6a21\u62df\u590d\u6742\u67e5\u8be2\u7684\u573a\u666f\uff0c\u5305\u62ec\u4ee5\u4e0b\u4e09\u4e2a\u57fa\u51c6\u6570\u636e\u96c6\uff1a<\/p>\n

              \n
            • MuSiQue\uff1a\u901a\u8fc7\u7ec4\u5408\u591a\u4e2a\u5355\u8df3\u67e5\u8be2\u6765\u5f62\u62102-4\u8df3\u67e5\u8be2\u7684\u6570\u636e\u96c6\u3002<\/li>\n
            • HotpotQA\uff1a\u7531\u6807\u6ce8\u8005\u521b\u5efa\u7684\u95ee\u9898\u94fe\u63a5\u591a\u4e2a\u7ef4\u57fa\u767e\u79d1\u6587\u7ae0\u3002<\/li>\n
            • 2WikiMultiHopQA\uff1a\u4ece\u7ef4\u57fa\u767e\u79d1\u53ca\u5176\u76f8\u5173\u77e5\u8bc6\u56fe\u8c31\u8def\u5f84\u6d3e\u751f\u800c\u6765\uff0c\u9700\u89812\u8df3\u3002<\/li>\n<\/ul>\n

              \u6307\u6807<\/h4>\n
                \n
              • \u6709\u6548\u6027\u6307\u6807\uff1a
                \nF1\uff1a\u9884\u6d4b\u7b54\u6848\u4e0e\u771f\u5b9e\u7b54\u6848\u4e4b\u95f4\u91cd\u53e0\u8bcd\u6c47\u7684\u6570\u91cf\u3002
                \nEM\uff08Exact Match\uff09\uff1a\u9884\u6d4b\u7b54\u6848\u4e0e\u771f\u5b9e\u7b54\u6848\u662f\u5426\u5b8c\u5168\u76f8\u540c\u3002
                \nAccuracy\uff08Acc\uff09\uff1a\u9884\u6d4b\u7b54\u6848\u662f\u5426\u5305\u542b\u771f\u5b9e\u7b54\u6848\u3002<\/li>\n
              • \u6548\u7387\u6307\u6807\uff1a
                \nStep\uff1a\u68c0\u7d22\u548c\u751f\u6210\u6b65\u9aa4\u7684\u6570\u91cf\u3002
                \nTime\uff1a\u76f8\u5bf9\u4e8e\u5355\u6b65\u65b9\u6cd5\uff0c\u56de\u7b54\u6bcf\u4e2a\u67e5\u8be2\u6240\u9700\u7684\u5e73\u5747\u65f6\u95f4\u3002<\/li>\n<\/ul>\n

                4\u3001\u5b9e\u9a8c\u7ed3\u679c<\/h3>\n

                \u4e3b\u8981\u7ed3\u679c<\/h4>\n

                \u6574\u4f53\u6027\u80fd\uff1a\u88681\u5c55\u793a\u4e86\u6240\u6709\u6570\u636e\u96c6\u7684\u5e73\u5747\u7ed3\u679c\uff0c\u9a8c\u8bc1\u4e86\u7b80\u5355\u68c0\u7d22\u589e\u5f3a\u7b56\u7565\u7684\u6709\u6548\u6027\u4f4e\u4e8e\u590d\u6742\u7b56\u7565\uff0c\u800c\u590d\u6742\u7b56\u7565\u7684\u8ba1\u7b97\u6210\u672c\u663e\u8457\u9ad8\u4e8e\u7b80\u5355\u7b56\u7565\u3002Adaptive-RAG\u5728\u4fdd\u6301\u9ad8\u6548\u7684\u540c\u65f6\uff0c\u663e\u8457\u63d0\u9ad8\u4e86\u95ee\u7b54\u7cfb\u7edf\u7684\u6574\u4f53\u51c6\u786e\u6027\u548c\u6548\u7387\u3002<\/p>\n

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

                \u8be6\u7ec6\u7ed3\u679c\uff1a\u88682\u63d0\u4f9b\u4e86\u4f7f\u7528FLAN-T5-XL\u6a21\u578b\u5728\u5404\u4e2a\u5355\u8df3\u548c\u591a\u8df3\u6570\u636e\u96c6\u4e0a\u7684\u66f4\u8be6\u7ec6\u7ed3\u679c\uff0c\u4e0e\u88681\u4e2d\u7684\u89c2\u5bdf\u7ed3\u679c\u4e00\u81f4\u3002Adaptive-RAG\u5728\u5904\u7406\u590d\u6742\u67e5\u8be2\u65f6\u8868\u73b0\u51fa\u8272\uff0c\u5c24\u5176\u662f\u5728\u591a\u8df3\u6570\u636e\u96c6\u4e0a\uff0c\u80fd\u591f\u6709\u6548\u5730\u805a\u5408\u591a\u4e2a\u6587\u6863\u7684\u4fe1\u606f\u5e76\u8fdb\u884c\u63a8\u7406\u3002<\/p>\n

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

                \u7406\u60f3\u60c5\u51b5\u4e0b\u7684\u6027\u80fd\uff1a\u901a\u8fc7\u4f7f\u7528\u7406\u60f3\u5206\u7c7b\u5668\uff08Oracle\uff09\u7684Adaptive-RAG\uff0c\u5c55\u793a\u4e86\u6a21\u578b\u5728\u5b8c\u7f8e\u5206\u7c7b\u67e5\u8be2\u590d\u6742\u6027\u60c5\u51b5\u4e0b\u7684\u6027\u80fd\u4e0a\u9650\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5b83\u5728\u6548\u679c\u4e0a\u8fbe\u5230\u4e86\u6700\u4f73\u8868\u73b0\uff0c\u540c\u65f6\u6bd4\u6ca1\u6709\u7406\u60f3\u5206\u7c7b\u5668\u7684Adaptive-RAG\u66f4\u52a0\u9ad8\u6548\u3002\u8fd9\u4e9b\u7ed3\u679c\u652f\u6301\u4e86\u6839\u636e\u67e5\u8be2\u590d\u6742\u5ea6\u81ea\u9002\u5e94\u9009\u62e9\u68c0\u7d22\u589e\u5f3aLLM\u7b56\u7565\u7684\u6709\u6548\u6027\u548c\u91cd\u8981\u6027\u3002<\/p>\n

                \u5206\u7c7b\u5668\u6027\u80fd<\/h4>\n

                \u5206\u7c7b\u51c6\u786e\u6027\uff1a\u56fe3\u5c55\u793a\u4e86Adaptive-RAG\u7684\u5206\u7c7b\u5668\u5728\u4e0d\u540c\u590d\u6742\u6027\u6807\u7b7e\u4e0a\u7684\u6027\u80fd\uff0c\u5176\u5206\u7c7b\u51c6\u786e\u6027\u4f18\u4e8e\u5176\u4ed6\u81ea\u9002\u5e94\u68c0\u7d22\u65b9\u6cd5\u3002\u8fd9\u8868\u660eAdaptive-RAG\u80fd\u591f\u66f4\u51c6\u786e\u5730\u5c06\u67e5\u8be2\u5206\u7c7b\u4e3a\u4e0d\u540c\u590d\u6742\u6027\u7ea7\u522b\uff0c\u4ece\u800c\u4e3a\u9009\u62e9\u5408\u9002\u7684\u68c0\u7d22\u7b56\u7565\u63d0\u4f9b\u4f9d\u636e\u3002<\/p>\n

                \u6df7\u6dc6\u77e9\u9635\uff1a\u56fe3\u4e2d\u7684\u6df7\u6dc6\u77e9\u9635\u63ed\u793a\u4e86\u4e00\u4e9b\u5206\u7c7b\u8d8b\u52bf\uff0c\u4f8b\u5982\u201cC\uff08\u591a\u6b65\uff09\u201d\u6709\u65f6\u88ab\u9519\u8bef\u5206\u7c7b\u4e3a\u201cB\uff08\u5355\u6b65\uff09\u201d\uff0c\u201cB\uff08\u5355\u6b65\uff09\u201d\u6709\u65f6\u88ab\u9519\u8bef\u5206\u7c7b\u4e3a\u201cC\uff08\u591a\u6b65\uff09\u201d\u3002\u8fd9\u4e3a\u672a\u6765\u6539\u8fdb\u5206\u7c7b\u5668\u63d0\u4f9b\u4e86\u65b9\u5411\u3002<\/p>\n

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

                \u5206\u7c7b\u5668\u6548\u7387\u5206\u6790<\/strong><\/p>\n

                \u67e5\u8be2\u5904\u7406\u65f6\u95f4\uff1a\u88683\u63d0\u4f9b\u4e86Adaptive-RAG\u6bcf\u6761\u67e5\u8be2\u7684\u7cbe\u786e\u5904\u7406\u65f6\u95f4\u4ee5\u53ca\u5206\u7c7b\u5668\u9884\u6d4b\u6807\u7b7e\u7684\u5206\u5e03\u60c5\u51b5\u3002\u7ed3\u679c\u8868\u660e\uff0c\u901a\u8fc7\u6709\u6548\u8bc6\u522b\u7b80\u5355\u6216\u76f4\u63a5\u7684\u67e5\u8be2\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n

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

                \u5206\u7c7b\u5668\u8bad\u7ec3\u6570\u636e\u5206\u6790<\/h4>\n

                \u8bad\u7ec3\u7b56\u7565\u5bf9\u6bd4\uff1a\u88684\u5c55\u793a\u4e86\u4e0d\u540c\u8bad\u7ec3\u7b56\u7565\u5bf9\u5206\u7c7b\u5668\u6027\u80fd\u7684\u5f71\u54cd\u3002\u4f5c\u8005\u63d0\u51fa\u7684\u8bad\u7ec3\u7b56\u7565\uff08\u7ed3\u5408\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u548c\u6570\u636e\u96c6\u504f\u89c1\uff09\u5728\u6548\u7387\u548c\u51c6\u786e\u6027\u65b9\u9762\u5747\u4f18\u4e8e\u4ec5\u4f9d\u8d56\u6570\u636e\u96c6\u504f\u89c1\u6216\u4ec5\u4f7f\u7528\u94f6\u6807\u51c6\u6570\u636e\u7684\u7b56\u7565\u3002\u8fd9\u8868\u660e\uff0c\u7ed3\u5408\u591a\u79cd\u4fe1\u606f\u6e90\u53ef\u4ee5\u63d0\u9ad8\u5206\u7c7b\u5668\u7684\u6027\u80fd\u3002<\/p>\n

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

                \u5206\u7c7b\u5668\u5927\u5c0f\u5206\u6790<\/h4>\n

                \u6a21\u578b\u5927\u5c0f\u5bf9\u6027\u80fd\u7684\u5f71\u54cd\uff1a\u88686\u663e\u793a\u4e86\u4e0d\u540c\u5927\u5c0f\u5206\u7c7b\u5668\u7684\u6027\u80fd\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5373\u4f7f\u5728\u5206\u7c7b\u5668\u89c4\u6a21\u8f83\u5c0f\u3001\u590d\u6742\u5ea6\u8f83\u4f4e\u7684\u60c5\u51b5\u4e0b\uff0c\u6027\u80fd\u4e5f\u6ca1\u6709\u663e\u8457\u5dee\u5f02\u3002\u8fd9\u8868\u660eAdaptive-RAG\u53ef\u4ee5\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\u4f7f\u7528\u8f83\u5c0f\u7684\u5206\u7c7b\u5668\uff0c\u800c\u4e0d\u5f71\u54cd\u6574\u4f53\u6027\u80fd\u3002<\/p>\n

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

                \u6848\u4f8b\u7814\u7a76<\/h4>\n

                \u7b80\u5355\u67e5\u8be2\u5904\u7406\uff1a\u5bf9\u4e8e\u7b80\u5355\u7684\u5355\u8df3\u95ee\u9898\uff0cAdaptive-RAG\u80fd\u591f\u8bc6\u522b\u51fa\u4ec5\u4f7f\u7528LLM\u7684\u53c2\u6570\u77e5\u8bc6\u5373\u53ef\u56de\u7b54\uff0c\u800c\u65e0\u9700\u68c0\u7d22\u5916\u90e8\u6587\u6863\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5176\u4ed6\u81ea\u9002\u5e94\u65b9\u6cd5\u53ef\u80fd\u4f1a\u68c0\u7d22\u989d\u5916\u7684\u6587\u6863\uff0c\u5bfc\u81f4\u5904\u7406\u65f6\u95f4\u5ef6\u957f\uff0c\u5e76\u53ef\u80fd\u56e0\u5305\u542b\u90e8\u5206\u4e0d\u76f8\u5173\u4fe1\u606f\u800c\u4ea7\u751f\u9519\u8bef\u7b54\u6848\u3002<\/p>\n

                \u590d\u6742\u67e5\u8be2\u5904\u7406\uff1a\u9762\u5bf9\u590d\u6742\u95ee\u9898\u65f6\uff0cAdaptive-RAG\u80fd\u591f\u5bfb\u627e\u76f8\u5173\u7684\u4fe1\u606f\uff0c\u5305\u62ecLLM\u4e2d\u53ef\u80fd\u672a\u5b58\u50a8\u7684\u7ec6\u8282\uff0c\u5982\u201cJohn Cabot\u7684\u513f\u5b50\u662f\u8c01\u201d\uff0c\u800c\u5176\u4ed6\u81ea\u9002\u5e94\u65b9\u6cd5\u53ef\u80fd\u65e0\u6cd5\u4ece\u5916\u90e8\u6e90\u8bf7\u6c42\u6b64\u7c7b\u4fe1\u606f\uff0c\u4ece\u800c\u5bfc\u81f4\u4e0d\u51c6\u786e\u7684\u7b54\u6848\u3002<\/p>\n

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

                5\u3001\u603b\u7ed3<\/h3>\n

                Adaptive-RAG\u662f\u4e00\u79cd\u975e\u5e38\u6709\u610f\u601d\u7684\u65b9\u6cd5\u3002\u5b83\u901a\u8fc7\u4e00\u4e2a\u5c0f\u6a21\u578b\u8f85\u52a9LLM\u5224\u65ad\u662f\u5426\u9700\u8981\u5355\u6b65\u68c0\u7d22\u6216\u591a\u6b65\u68c0\u7d22\uff0c\u76f8\u6bd4\u4e00\u4e9b\u76f4\u63a5\u5fae\u8c03LLM\u7684\u65b9\u6cd5\uff08\u5982Self-RAG\uff09\uff0c\u4e0d\u4ec5\u66f4\u9ad8\u6548\uff0c\u800c\u4e14\u6027\u80fd\u4e5f\u66f4\u4f18\u3002<\/p>\n

                \u4f46\u662f\u5982\u679c\u8981\u5728\u68c0\u7d22\u63a8\u7406\u6027\u80fd\u4e0a\u6263\u7ec6\u8282\u7684\u8bdd\uff0c\u8fd9\u79cd\u7b56\u7565\u8fd8\u662f\u6709\u5f88\u591a\u4f18\u5316\u7a7a\u95f4\uff0c\u6bd4\u5982\u57282023 ACL\u4e0a\u7684\u4e00\u7bc7\u6587\u7ae0\u300aWhen Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories\u300b\u8bc4\u4f30\u4e86LLM\u68c0\u7d22\u54ea\u4e9b\u7c7b\u578b\u7684\u77e5\u8bc6\u5bf9\u6a21\u578b\u6027\u80fd\u7684\u63d0\u9ad8\u66f4\u6709\u76ca\uff0c\u54ea\u4e9b\u7c7b\u578b\u7684\u77e5\u8bc6\u53ef\u80fd\u4f1a\u635f\u5bb3\u6a21\u578b\u6027\u80fd\uff0c\u8fd9\u4e9b\u7686\u662f\u53ef\u4ee5\u4f7f\u7528\u5c0f\u6a21\u578b\u8f85\u52a9LLM\u5224\u65ad\u7684\u53c2\u8003\u4fe1\u606f\u3002<\/p>\n

                \u8fd9\u79cd\u65b9\u6cd5\u4e3a\u666e\u901a\u73a9\u5bb6\u63d0\u4f9b\u4e86\u4e00\u4e2a\u53ef\u884c\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u4e5f\u4e3aRAG\u65b9\u6cd5\u7684\u4f18\u5316\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def\u3002<\/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":"

                \u672c\u6587\u6765\u804a\u804a\u4e00\u79cd\u5168\u65b0\u7684\u65b9\u6cd5\uff0c\u6765\u81ea\u97e9\u56fd\u79d1\u5b66\u6280\u672f\u9662\u53d1\u8868\u57282024 NAACL\u4e0a\u7684\u4e00\u7bc7\u5de5\u4f5c\uff1a\u81ea\u9002\u5e94\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08Ada […]<\/p>\n

                <\/div>\n

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

                <\/div>\n","protected":false},"author":56,"featured_media":25662,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,20,80],"tags":[124,1188,113],"class_list":["post-25660","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-23","category-20","category-80","tag-ai","tag-rag","tag-113"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25660","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=25660"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25660\/revisions"}],"predecessor-version":[{"id":25663,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25660\/revisions\/25663"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/25662"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=25660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=25660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=25660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}