{"id":3717,"date":"2025-07-17T22:27:24","date_gmt":"2025-07-17T14:27:24","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=3717"},"modified":"2025-07-18T10:45:11","modified_gmt":"2025-07-18T02:45:11","slug":"202507-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-cdf-rag-causal-dynamic-feedback-for-adaptive-retrieval-augmented-generation","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202507-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-cdf-rag-causal-dynamic-feedback-for-adaptive-retrieval-augmented-generation\/","title":{"rendered":"202507 \u8bba\u6587\u7814\u8bfb-CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation"},"content":{"rendered":"\n

\u6765\u6e90\uff1aarXiv<\/p>\n\n\n\n

\u4f5c\u8005\uff1aElahe Khatibi\u3001Ziyu Wang\u3001Amir M. Rahmani<\/p>\n\n\n\n

\u5355\u4f4d\uff1a\u7f8e\u56fd\u52a0\u5dde\u5927\u5b66<\/p>\n\n\n\n

\u53d1\u8868\u65f6\u95f4\uff1a 2025\u5e7404\u6708<\/p>\n\n\n\n

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

\u80cc\u666f\uff1a\u4f20\u7edfRAG\u9760\u8bed\u4e49\u76f8\u4f3c\u68c0\u7d22\uff0c\u96be\u4ee5\u533a\u5206\u201c\u76f8\u5173\u201d\u4e0e\u201c\u56e0\u679c\u201d\uff0c\u5728\u591a\u8df3\u95ee\u7b54\u4e2d\u5e38\u7ed9\u51fa\u770b\u4f3c\u5408\u7406\u5374\u7f3a\u5931\u673a\u5236\u7684\u5e7b\u89c9\u7b54\u6848\u3002<\/p>\n\n\n\n

\u6838\u5fc3\uff1a\u57fa\u4e8e\u4e0a\u8ff0\u80cc\u666f\uff0c\u8bba\u6587\u63d0\u51fa\u4e86\u56e0\u679c\u52a8\u6001\u53cd\u9988\u7684\u81ea\u9002\u5e94\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u6846\u67b6CDF-RAG\uff0c \u901a\u8fc7\u5148\u6784\u5efa\u7ecf GPT-4 \u6821\u9a8c\u7684\u52a8\u6001\u56e0\u679c\u56fe\uff0c\u518d\u7528 PPO-RL \u5b9e\u65f6\u6539\u5199\u67e5\u8be2\u3001\u6cbf\u56fe\u505a\u591a\u8df3\u68c0\u7d22\uff0c\u6700\u540e\u7528\u56e0\u679c\u4e00\u81f4\u6027\u5206\u6570\u89e6\u53d1\u91cd\u751f\u6210\u6216\u77e5\u8bc6\u91cd\u5199\uff0c\u4ece\u800c\u628a\u201c\u76f8\u5173\u8bc1\u636e\u201d\u5347\u7ea7\u4e3a\u201c\u53ef\u4fe1\u56e0\u679c\u94fe\u201d\u3002<\/p>\n\n\n\n

\u4e8c\u3001RAG\u5bf9\u6bd4\u4ecb\u7ecd<\/h2>\n\n\n\n

(a)\u4f20\u7edf\u7684RAG\u7ba1\u9053\u4f9d\u8d56\u4e8e\u9759\u6001\u67e5\u8be2\u548c\u57fa\u4e8e\u5173\u952e\u5b57\u6216\u76f8\u4f3c\u6027\u7684\u68c0\u7d22\uff0c\u901a\u5e38\u68c0\u7d22\u4e3b\u9898\u76f8\u5173\u4f46\u56e0\u679c\u5173\u7cfb\u4e0d\u76f8\u5173\u7684\u5185\u5bb9\uff0c\u8fd9\u53ef\u80fd\u5bfc\u81f4\u5e7b\u89c9\u6216\u4e0d\u8fde\u8d2f\u7684\u8f93\u51fa<\/p>\n\n\n\n

(b)CDF-RAG\u901a\u8fc7\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u67e5\u8be2\u7ec6\u5316\u3001\u7ed3\u5408\u8bed\u4e49\u5411\u91cf\u641c\u7d22\u548c\u56e0\u679c\u56fe\u904d\u5386\u7684\u53cc\u8def\u5f84\u68c0\u7d22\u4ee5\u53ca\u56e0\u679c\u4e00\u81f4\u6027\u751f\u6210\u6765\u89e3\u51b3\u8fd9\u4e9b\u9650\u5236\uff0c\u4ece\u800c\u63d0\u9ad8\u4e86\u771f\u5b9e\u6027\u548c\u63a8\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n

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

\u4e09\u3001CDF-RAG\u6846\u67b6<\/h2>\n\n\n\n

(a)CDF-RAG\u7ba1\u9053\u7ec6\u5316\u7528\u6237\u67e5\u8be2\uff08LLM + RL\uff09\uff0c\u68c0\u7d22\u7ed3\u6784\u5316\u56e0\u679c\u548c\u975e\u7ed3\u6784\u5316\u6587\u672c\u77e5\u8bc6\uff0c\u5e94\u7528\u77e5\u8bc6\u91cd\u5199\uff0c\u5e76\u901a\u8fc7\u56e0\u679c\u9a8c\u8bc1\u786e\u4fdd\u4e8b\u5b9e\u4e00\u81f4\u6027\u3002<\/p>\n\n\n\n

(b)PPO\u8bad\u7ec3\u7684\u67e5\u8be2\u7ec6\u5316\u4ee3\u7406\u4f18\u5316\u68c0\u7d22\u8986\u76d6\u7387\u548c\u56e0\u679c\u4e00\u81f4\u6027\u3002<\/p>\n\n\n\n

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

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

\u51c6\u786e\u7387\u5b9e\u9a8c
\u76ee\u7684\uff1a\u9a8c\u8bc1 CDF-RAG \u5728\u5e38\u8bc6\u3001\u5bf9\u6297\u3001\u533b\u5b66\u7b49\u591a\u573a\u666f\u95ee\u7b54\u4e2d\u662f\u5426\u5168\u9762\u4f18\u4e8e\u57fa\u7ebf\u3002
\u65b9\u6cd5\uff1a\u7528 GPT-4\/LLaMA-3-8B \u7b49 4 \u79cd\u6a21\u578b\uff0c\u5728 CosmosQA\u3001AdversarialQA\u3001MedQA\u3001MedMCQA \u4e0a\u5bf9\u6bd4\u6807\u51c6 RAG\u3001Gym-RAG \u7b49 6 \u6761\u57fa\u7ebf\uff0c\u4ee5 Accuracy\u3001F1 \u4e3a\u4e3b\u6307\u6807\u3002<\/p>\n\n\n\n

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

\u68c0\u7d22\u4e0e\u5bf9\u9f50\u5b9e\u9a8c
\u76ee\u7684\uff1a\u8bc4\u4f30\u56e0\u679c\u68c0\u7d22\u662f\u5426\u771f\u6b63\u6293\u5230\u201c\u65b9\u5411\u6027\u201d\u8bc1\u636e\u800c\u975e\u8bed\u4e49\u76f8\u5173\u566a\u97f3\u3002
\u65b9\u6cd5\uff1a\u62a5\u544a CRC\uff08\u56e0\u679c\u68c0\u7d22\u8986\u76d6\u7387\uff09\u3001Context Relevance\u3001Groundedness\uff0c\u7528\u4eba\u5de5\u9ec4\u91d1\u56e0\u679c\u56fe\u6821\u9a8c\u68c0\u7d22\u7ed3\u679c\u3002<\/p>\n\n\n\n

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

\u68c0\u9a8c CDF-RAG \u80fd\u5426\u8ba9\u4e0d\u540c LLM\uff08GPT-4\u2192Flan-T5\uff09\u90fd\u751f\u6210\u66f4\u8d34\u8bc1\u636e\u3001\u66f4\u5c11\u5e7b\u89c9\u7684\u7b54\u6848\u3002\u5728 MedQA \u6570\u636e\u96c6 \u4e0a\uff0c\u7528 Groundedness\uff08\u7b54\u6848\u4e0e\u68c0\u7d22\u7247\u6bb5\u7684\u8bed\u4e49\u4e00\u81f4\u6027\uff09\u6253\u5206\u3002\u5bf9\u6bd4 5 \u79cd RAG \u65b9\u6cd5 \u00d7 4 \u79cd\u6a21\u578b\u7684\u67f1\u72b6\u56fe\u3002<\/p>\n\n\n\n

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

\u6d88\u878d\u5b9e\u9a8c
\u76ee\u7684\uff1a\u91cf\u5316 RL \u67e5\u8be2\u6539\u5199\u3001\u56e0\u679c\u56fe\u3001\u77e5\u8bc6\u91cd\u5199\u3001\u5e7b\u89c9\u4fee\u6b63\u56db\u6a21\u5757\u5404\u81ea\u8d21\u732e\u3002
\u65b9\u6cd5\uff1a\u9010\u6a21\u5757\u542f\u7528\uff0c\u89c2\u5bdf CRC\u3001F1\u3001HR \u7b49 6 \u9879\u6307\u6807\u53d8\u5316\uff1b\u7528 2 200 \u6761\u8de8\u57df\u67e5\u8be2\u9a8c\u8bc1\u589e\u76ca\u53ef\u53e0\u52a0\u3002<\/p>\n\n\n\n

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

\u4e94\u3001\u8bba\u6587\u603b\u7ed3<\/h2>\n\n\n\n

\u8bba\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u56e0\u679c\u52a8\u6001\u53cd\u9988\u7684\u81ea\u9002\u5e94\u68c0\u7d22\u589e\u5f3a\u6846\u67b6CDF-RAG\uff0c\u57fa\u4e8e LLM \u6253\u9020\u201c\u56e0\u679c-\u68c0\u7d22-\u9a8c\u8bc1\u95ed\u73af\u5f15\u64ce\u201d\u3002\u5173\u952e\u6a21\u5757\u5982\u4e0b\uff1a
(1)\u56e0\u679c\u56fe\u63d0\u53d6\uff1aLLM \u62bd\u53d6\u56e0\u679c\u5bf9\uff0c\u7ecf GPT-4 \u6821\u9a8c\u540e\u5199\u5165\u56e0\u679c\u56fe\uff0c\u6784\u5efa\u53ef\u52a8\u6001\u66f4\u65b0\u7684\u6709\u5411\u56e0\u679c\u56fe\u3002
(2)RL-\u67e5\u8be2\u6539\u5199\uff1aPPO \u7b56\u7565\u5728 {expand, simplify, decompose} \u4e2d\u51b3\u7b56\uff0c\u7528\u591a\u76ee\u6807\u5956\u52b1\u4f18\u5316\u68c0\u7d22\u4e0e\u56e0\u679c\u6df1\u5ea6\u3002
(3)\u53cc\u8def\u5f84\u68c0\u7d22\uff1aMiniLM \u8bed\u4e49\u5411\u91cf + \u6cbf\u56fe\u6709\u5411\u904d\u5386\uff0c\u7ed3\u679c\u5408\u5e76\u540e\u7ecf\u77e5\u8bc6\u91cd\u5199\u751f\u6210\u7edf\u4e00\u77e5\u8bc6\u96c6 K\u3002
(4)\u56e0\u679c-\u5e7b\u89c9\u95ed\u73af\u9a8c\u8bc1\uff1a\u8ba1\u7b97 S_causal \u4e0e S_hallucination\uff0c\u89e6\u53d1\u91cd\u751f\u6210\u6216\u77e5\u8bc6\u91cd\u5199\uff0c\u786e\u4fdd\u7b54\u6848\u56e0\u679c\u4e00\u81f4\u4e14\u96f6\u5e7b\u89c9\u3002<\/p>\n\n\n\n

\u516d\u3001\u5bf9\u9f50\u601d\u8003<\/h2>\n\n\n\n

(1)\u53cc\u6807\u7b7e\u56e0\u679c\u62bd\u53d6 \uff1a\u7edf\u4e00 prompt \u8ba9 LLM \u4e00\u6b21\u6027\u7ed9\u6bcf\u6761\u201c\u7ecf\u7edc\u2194\u514d\u75ab\u2192\u75be\u75c5\u201d\u4e09\u5143\u7ec4\u540c\u65f6\u6253\u4e0a\u201c\u897f\u533b\u6807\u7b7e\uff08RCT\u7b49\u7ea7\uff09\u201d\u548c\u201c\u4e2d\u533b\u6807\u7b7e\uff08\u8bc1\u5019\/\u7ecf\u7edc\uff09\u201d\uff0c\u968f\u540e\u53ea\u7528\u4e00\u4e2a\u7b80\u5355\u7684\u8bcd\u5178\u6620\u5c04\u8868\u628a\u540c\u540d\u5b9e\u4f53\u5bf9\u9f50\u3002
(2)\u53cc\u94fe\u95ed\u73af\u5f15\u64ce\uff1a\u4e3a\u201c\u81f4\u75c5\u94fe\u201d\u4e0e\u201c\u5e72\u9884\u94fe\u201d\u5206\u522b\u8bad\u7ec3 PPO-RL \u67e5\u8be2\u6539\u5199\u5668\uff0c\u5b9e\u65f6\u5728 {expand, simplify, decompose} \u4e2d\u51b3\u7b56\uff1bRAG \u6cbf\u56fe\u68c0\u7d22\u65f6\u6bcf\u4e00\u6b65\u90fd\u56de\u56fe\u9a8c\u8bc1\uff0c\u51b2\u7a81\u5373\u91cd\u5199\uff1b\u6700\u7ec8\u5c06\u201c\u813e\u865a\u201d\u7b49\u4e2d\u533b\u8282\u70b9\u4e0e\u201cIL-6\u2191\u201d\u7b49\u897f\u533b\u6307\u6807\u6620\u5c04\u5230\u540c\u4e00\u901a\u8def\uff0c\u5408\u5e76\u8f93\u51fa\u4e24\u6761\u7ecf\u4e34\u5e8a\u53ef\u89e3\u91ca\u7684\u7edf\u4e00\u56e0\u679c\u94fe\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6765\u6e90\uff1aarXiv \u4f5c\u8005\uff1aElahe Khatibi\u3001Ziyu Wang\u3001Amir M. Rahmani \u5355\u4f4d\uff1a […]<\/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-3717","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/3717","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=3717"}],"version-history":[{"count":5,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/3717\/revisions"}],"predecessor-version":[{"id":3779,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/3717\/revisions\/3779"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=3717"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=3717"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=3717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}