{"id":25329,"date":"2025-04-09T09:37:34","date_gmt":"2025-04-09T01:37:34","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=25329"},"modified":"2025-04-09T09:37:34","modified_gmt":"2025-04-09T01:37:34","slug":"%e9%a2%a0%e8%a6%86%e4%bc%a0%e7%bb%9f%e4%bf%a1%e6%81%af%e6%90%9c%e7%b4%a2%ef%bc%8c%e6%95%88%e6%9e%9c%e6%98%af%e4%b9%8b%e5%89%8dsota%e7%9a%84%e4%b8%89%e5%80%8d%ef%bc%9fuiuc%e9%9f%a9%e5%ae%b6%e7%82%9c","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/04\/09\/25329\/","title":{"rendered":"\u98a0\u8986\u4f20\u7edf\u4fe1\u606f\u641c\u7d22\uff0c\u6548\u679c\u662f\u4e4b\u524dSOTA\u7684\u4e09\u500d\uff1fUIUC\u97e9\u5bb6\u709c\u3001\u5b59\u5180\u840c\u56e2\u961f\u5f00\u6e90DeepRetrieval\uff0c\u8ba9\u6a21\u578b\u7aef\u5230\u7aef\u5730\u5b66\u4f1a\u641c\u7d22\uff01"},"content":{"rendered":"
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\u6765\u81ea UIUC \u7684 Jiawei Han \u548c Jimeng Sun \u56e2\u961f\u7684\u4e00\u9879\u6700\u65b0\u5de5\u4f5c\u00a0DeepRetrieval\u00a0\u63d0\u51fa\u4e86\u7cfb\u7edf\u6027\u89e3\u6cd5\uff0c\u53ea\u9700\u00a03B \u7684 LLM\u00a0\u5373\u53ef\u5b9e\u73b0 50 \u4e2a\u70b9\u4ee5\u4e0a\u7684\u63d0\u5347\u3002<\/div>\n
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\u5728\u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf\u4e2d\uff0c\u641c\u7d22\u5f15\u64ce\u7684\u80fd\u529b\u53ea\u662f\u5f71\u54cd\u7ed3\u679c\u7684\u4e00\u4e2a\u65b9\u9762\uff0c\u771f\u6b63\u7684\u74f6\u9888\u5f80\u5f80\u5728\u4e8e\uff1a\u7528\u6237\u7684\u539f\u59cb query \u672c\u8eab\u4e0d\u591f\u597d\u3002<\/p>\n

\u5c24\u5176\u5728\u4e13\u4e1a\u641c\u7d22\u573a\u666f\uff08\u5982\u6587\u732e\u3001\u6570\u636e\u5e93\u67e5\u8be2\uff09\u4e2d\uff0c\u7528\u6237\u5f80\u5f80\u65e0\u6cd5\u7528\u7cbe\u786e\u3001\u5b8c\u6574\u7684\u8868\u8fbe\u63cf\u8ff0\u4ed6\u4eec\u7684\u9700\u6c42\u3002<\/p>\n

\u90a3\u4e48\u95ee\u9898\u6765\u4e86\uff1a\u80fd\u4e0d\u80fd\u6559\u5927\u6a21\u578b\u4f18\u5316\u539f\u59cb query \u7684\u8868\u8fbe\u65b9\u5f0f\uff0c\u4ece\u800c\u8ba9\u5df2\u6709\u68c0\u7d22\u7cfb\u7edf\u7684\u80fd\u529b\u88ab\u6700\u5927\u5316\u6fc0\u53d1\uff1f<\/p>\n

\u6765\u81ea UIUC \u7684 Jiawei Han \u548c Jimeng Sun \u56e2\u961f\u7684\u4e00\u9879\u6700\u65b0\u5de5\u4f5c\u00a0DeepRetrieval\u00a0\u5c31\u662f\u9488\u5bf9\u8fd9\u4e2a\u95ee\u9898\u63d0\u51fa\u4e86\u7cfb\u7edf\u6027\u89e3\u6cd5\uff0c\u53ea\u9700\u00a03B \u7684 LLM\u00a0\u5373\u53ef\u5b9e\u73b0 50 \u4e2a\u70b9\u4ee5\u4e0a\u7684\u63d0\u5347\u3002<\/p>\n

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

    \n
  • \u8bba\u6587\u6807\u9898\uff1aDeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning<\/li>\n
  • \u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/2503.00223<\/li>\n
  • \u5f00\u6e90\u4ee3\u7801\uff1ahttps:\/\/github.com\/pat-jj\/DeepRetrieval<\/li>\n
  • \u5f00\u6e90\u6a21\u578b\uff1ahttps:\/\/huggingface.co\/DeepRetrieval<\/li>\n<\/ul>\n

    \u4e00\u53e5\u8bdd\u6982\u62ec\uff1aDeepRetrieval \u662f\u4e00\u4e2a\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u7684 query \u4f18\u5316\u7cfb\u7edf\uff0c\u8bad\u7ec3 LLM \u5728\u4e0d\u540c\u68c0\u7d22\u4efb\u52a1\u4e2d\u4f18\u5316\u539f\u59cb\u67e5\u8be2\uff0c\u4ee5\u6700\u5927\u5316\u771f\u5b9e\u7cfb\u7edf\u7684\u68c0\u7d22\u6548\u679c\u3002<\/p>\n

    \u5b83\u4e0d\u662f\u8bad\u7ec3\u4e00\u4e2a\u65b0\u7684 retriever\uff0c\u4e5f\u4e0d\u662f\u8ba9\u6a21\u578b\u76f4\u63a5\u56de\u7b54\u95ee\u9898\uff0c\u800c\u662f\uff1a<\/p>\n

    \u5728\u4e0d\u6539\u53d8\u73b0\u6709\u641c\u7d22\u7cfb\u7edf\u7684\u524d\u63d0\u4e0b\uff0c\u901a\u8fc7\u4f18\u5316\u539f\u59cb query\uff0c\u8ba9\u300c\u63d0\u95ee\u65b9\u5f0f\u300d\u53d8\u5f97\u66f4\u806a\u660e\uff0c\u4ece\u800c\u83b7\u53d6\u66f4\u597d\u7684\u7ed3\u679c\u3002<\/p>\n

    \u66f4\u591a\u6709\u610f\u4e49\u7684\u8ba8\u8bba\u8bf7\u8bfb\u539f\u6587\u6b63\u6587\u548c\u9644\u5f55\u7684 Discussion \u90e8\u5206\u3002<\/p>\n

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

    \u65b9\u6cd5\u7ec6\u8282<\/h4>\n

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

    \u65b9\u6cd5\u8981\u70b9<\/strong><\/p>\n

      \n
    • \u8f93\u5165\uff1a\u539f\u59cb\u67e5\u8be2 q<\/li>\n
    • \u8f93\u51fa\uff1a\u6539\u5199\u540e\u7684\u67e5\u8be2 q\u2032\uff08\u81ea\u7136\u8bed\u8a00\u3001\u5e03\u5c14\u8868\u8fbe\u5f0f\u6216 SQL\uff09<\/li>\n
    • \u73af\u5883\u53cd\u9988\uff1a\u4f7f\u7528 q\u2032 \u53bb\u68c0\u7d22\u7cfb\u7edf\u4e2d\u67e5\u8be2 \u2192 \u8fd4\u56de\u7ed3\u679c \u2192 \u4e0e groundtruth \u5bf9\u6bd4\uff0c\u8ba1\u7b97 reward\uff0creward \u4e3a task-specific \u68c0\u7d22\u8868\u73b0\uff08\u5982 Recall@K\u3001NDCG@K\u3001SQL accuracy\uff09\u4f7f\u7528 PPO \u8fdb\u884c\u8bad\u7ec3\uff0c\u5e76\u52a0\u5165\u683c\u5f0f\u5956\u52b1\uff08format correctness\uff09\u4e0e KL-regularization \u4fdd\u8bc1\u8bad\u7ec3\u7a33\u5b9a\uff0c\u4f18\u5316\u76ee\u6807\u5982\u4e0b\uff1a<\/li>\n<\/ul>\n

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

      \u5176\u4e2d\uff0c\u03c0_ref \u662f\u53c2\u8003\u7b56\u7565\uff08reference policy\uff09\uff0c\u901a\u5e38\u6307\u7684\u662f\u5728\u5f3a\u5316\u5b66\u4e60\u5f00\u59cb\u4e4b\u524d\u7684\u521d\u59cb\u6a21\u578b\u3002\u03b2 \u662f\u4e00\u4e2a\u5408\u9002\u7684 KL \u60e9\u7f5a\u7cfb\u6570\uff0c\u7528\u4e8e\u63a7\u5236\u6b63\u5219\u5316\u7684\u5f3a\u5ea6\u3002KL \u6563\u5ea6\u9879\u7684\u4f5c\u7528\u662f\u60e9\u7f5a\u5f53\u524d\u7b56\u7565\u4e0e\u53c2\u8003\u7b56\u7565\u4e4b\u95f4\u7684\u8fc7\u5927\u504f\u79bb\uff0c\u4ece\u800c\u5728\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4fdd\u8bc1\u7b56\u7565\u66f4\u65b0\u7684\u7a33\u5b9a\u6027\u3002<\/p>\n

      \u5b9e\u9a8c\u7ed3\u679c<\/h4>\n

      \u771f\u5b9e\u641c\u7d22\u5f15\u64ce\u7684\u6587\u732e\u641c\u7d22<\/p>\n

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

      \u9996\u5148\u5728\u771f\u5b9e\u7684\u641c\u7d22\u5f15\u64ce\u4e0a\u8fdb\u884c\u5b9e\u9a8c\uff0c\u6587\u4e2d\u7528\u5230\u4e86\u4e13\u4e1a\u641c\u7d22\u5f15\u64ce PubMed \u548c ClinicalTrials.gov\u3002\u65e0\u9700\u6539\u52a8\u641c\u7d22\u5f15\u64ce\u6216\u5176\u5b83\u4efb\u4f55\u68c0\u7d22\u5668\uff0c\u4ec5\u901a\u8fc7\u7aef\u5230\u7aef\u5730\u4f18\u5316 query \u8868\u8fbe\uff0cDeepRetrieval \u5c31\u53ef\u4ee5\u8ba9\u7ed3\u679c\u83b7\u5f97 10 \u500d\u63d0\u5347\uff0c\u8fdc\u8d85\u5404\u4e2a\u5546\u4e1a\u5927\u6a21\u578b\u548c\u4e4b\u524d\u7684 SOTA \u65b9\u6cd5 LEADS\uff08\u84b8\u998f + SFT \u65b9\u6cd5\uff09\u3002<\/p>\n

      Evidence-Seeking \u68c0\u7d22\uff1a\u901a\u7528\u641c\u7d22\u5f15\u64ce\u7684\u9769\u65b0\u6f5c\u529b<\/strong><\/p>\n

      DeepRetrieval \u5728 Evidence-Seeking \u68c0\u7d22\u4efb\u52a1\u4e0a\u7684\u4f18\u5f02\u8868\u73b0\u4ee4\u4eba\u77a9\u76ee\u3002\u5982\u8868 1 \u6240\u793a\uff0c\u7ed3\u5408\u7b80\u5355 BM25\uff0c\u8fd9\u4e2a\u4ec5\u6709 3B \u53c2\u6570\u7684\u6a21\u578b\u5728 SQuAD\u3001TriviaQA \u548c NQ \u6570\u636e\u96c6\u4e0a\u8d85\u8d8a\u4e86 GPT-4o \u548c Claude-3.5 \u7b49\u5927\u578b\u5546\u4e1a\u6a21\u578b\u3002<\/p>\n

      Evidence-Seeking \u4efb\u52a1\u7684\u6838\u5fc3\u662f\u627e\u5230\u652f\u6301\u7279\u5b9a\u4e8b\u5b9e\u6027\u95ee\u9898\u7b54\u6848\u7684\u786e\u5207\u6587\u6863\u8bc1\u636e\uff0c\u5728\u901a\u7528\u641c\u7d22\u5f15\u64ce\u73af\u5883\u4e2d\uff0c\u8fd9\u4e00\u80fd\u529b\u5c24\u4e3a\u5173\u952e\u3002\u4f5c\u8005\u56e2\u961f\u6307\u51fa\uff0c\u5c06 DeepRetrieval \u5e94\u7528\u5230 Google\u3001Bing \u7b49\u901a\u7528\u641c\u7d22\u5f15\u64ce\u7684 Evidence-Seeking \u573a\u666f\u5c06\u5e26\u6765\u663e\u8457\u4f18\u52bf\uff1a<\/p>\n

        \n
      • \u7cbe\u51c6\u5b9a\u4f4d\u4e8b\u5b9e\u6587\u6863\uff1a\u901a\u7528\u641c\u7d22\u5f15\u64ce\u5305\u542b\u6d77\u91cf\u4fe1\u606f\uff0c\u7528\u6237\u96be\u4ee5\u6784\u5efa\u80fd\u7cbe\u786e\u5b9a\u4f4d\u8bc1\u636e\u6bb5\u843d\u7684\u67e5\u8be2\u3002DeepRetrieval \u53ef\u5c06\u7b80\u5355\u95ee\u9898\u8f6c\u5316\u4e3a\u5305\u542b\u5173\u952e\u672f\u8bed\u3001\u540c\u4e49\u8bcd\u548c\u9650\u5b9a\u7b26\u7684\u590d\u6742\u67e5\u8be2\uff0c\u663e\u8457\u63d0\u9ad8\u627e\u5230\u6743\u5a01\u8bc1\u636e\u7684\u6982\u7387\u3002<\/li>\n<\/ul>\n
          \n
        • \u514b\u670d\u77e5\u8bc6\u65f6\u6548\u6027\u9650\u5236\uff1a\u6a21\u578b\u80fd\u591f\u5c06\u300c2024 \u5e74\u5965\u8fd0\u4f1a\u91d1\u724c\u699c\u524d\u4e09\u540d\u300d\u7b49\u8d85\u51fa LLM \u77e5\u8bc6\u622a\u6b62\u65e5\u671f\u7684\u95ee\u9898\u8f6c\u5316\u4e3a\u7cbe\u786e\u641c\u7d22\u8868\u8fbe\uff0c\u4f7f\u68c0\u7d22\u7cfb\u7edf\u80fd\u591f\u627e\u5230\u6700\u65b0\u4e8b\u5b9e\u8bc1\u636e\u3002<\/li>\n<\/ul>\n
            \n
          • \u591a\u6e90\u9a8c\u8bc1\u80fd\u529b\uff1a\u901a\u8fc7\u4f18\u5316\u67e5\u8be2\u5e2e\u52a9\u641c\u7d22\u5f15\u64ce\u627e\u5230\u591a\u4e2a\u72ec\u7acb\u6765\u6e90\u7684\u4e8b\u5b9e\u8bc1\u636e\uff0c\u4ece\u800c\u4ea4\u53c9\u9a8c\u8bc1\u4fe1\u606f\u51c6\u786e\u6027\uff0c\u8fd9\u662f\u7eaf LLM \u95ee\u7b54\u65e0\u6cd5\u5b9e\u73b0\u7684\u5173\u952e\u4f18\u52bf\u3002<\/li>\n<\/ul>\n

            \u4f5c\u8005\u56e2\u961f\u8868\u793a\u4f1a\u5c06\u8fd9\u90e8\u5206\u7684\u5ef6\u4f38\u4f5c\u4e3a DeepRetrieval\u00a0\u672a\u6765\u4e3b\u8981\u7684\u63a2\u7d22\u65b9\u5411\u4e4b\u4e00\u3002<\/p>\n

            Classic IR\uff08Sparse \/ Dense\uff09<\/strong><\/p>\n

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

            \u5728 BM25 \u548c dense retriever \u4e0b\uff0cDeepRetrieval \u63d0\u4f9b\u4e86\u5e73\u5747 5~10 \u70b9 NDCG \u63d0\u5347\uff0c\u5e76\u4e14\uff1aBM25 + DeepRetrieval \u548c\u591a\u6570 dense baseline \u6c34\u5e73\u76f8\u5f53\u3002<\/p>\n

            \u7ed3\u5408\u6781\u5feb\u7684\u68c0\u7d22\u901f\u5ea6\uff08BM25 vs dense\uff1a352s vs 12,232s\uff09\uff0c\u5c55\u793a\u4e86\u4e00\u4e2a\u73b0\u5b9e\u53ef\u90e8\u7f72\u3001\u6027\u80fd\u4e0d\u4fd7\u7684\u9ad8\u6548\u65b9\u6848\u3002<\/p>\n

            SQL \u68c0\u7d22\u4efb\u52a1<\/strong><\/p>\n

            \u5728 SQL \u68c0\u7d22\u4efb\u52a1\u4e2d\uff0cDeepRetrieval \u6446\u8131\u4e86\u5bf9 groundtruth SQL \u7684\u4f9d\u8d56\uff0c\u76f4\u63a5\u5229\u7528\u751f\u6210 SQL \u7684\u6267\u884c\u6210\u529f\u7387\u4f18\u5316\u6a21\u578b\uff0c\u901a\u8fc7\u751f\u6210\u66f4\u7cbe\u51c6\u7684 SQL \u8bed\u53e5\uff0c\u4f7f\u5f97\u6a21\u578b\u5728 Spider\u3001BIRD \u7b49\u6570\u636e\u96c6\u4e0a\u7684\u6267\u884c\u6b63\u786e\u7387\u5747\u8d85\u8fc7\u5bf9\u6bd4\u6a21\u578b\uff08\u5305\u62ec GPT-4o \u548c\u57fa\u4e8e SFT \u7684\u5927\u6a21\u578b\uff09\u3002<\/p>\n

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

            \u63a2\u7d22\u80dc\u4e8e\u6a21\u4eff\uff1aRL \u4e3a\u4f55\u8d85\u8d8a SFT<\/h4>\n

            DeepRetrieval \u7684\u5b9e\u9a8c\u63ed\u793a\u4e86\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u5728\u641c\u7d22\u4f18\u5316\u4e0a\u76f8\u6bd4\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\u7684\u72ec\u7279\u4f18\u52bf\u3002\u5b9e\u9a8c\u6570\u636e\u4ee4\u4eba\u4fe1\u670d\uff1a\u5728\u6587\u732e\u641c\u7d22\u4e0a\uff0cRL \u65b9\u6cd5\u7684 DeepRetrieval\uff0865.07%\uff09\u8d85\u8fc7 SFT \u65b9\u6cd5 LEADS\uff0824.68%\uff09\u8fd1\u4e09\u500d\uff1b\u5728 SQL \u4efb\u52a1\u4e0a\uff0c\u4ece\u96f6\u5f00\u59cb\u7684 RL \u8bad\u7ec3\uff08\u65e0\u9700\u4efb\u4f55 gold SQL \u8bed\u53e5\u7684\u76d1\u7763\uff09\u4e5f\u4f18\u4e8e\u4f7f\u7528 GPT-4o \u84b8\u998f\u6570\u636e\u7684 SFT \u6a21\u578b\u3002<\/p>\n

            \u8fd9\u79cd\u663e\u8457\u5dee\u5f02\u6e90\u4e8e\u4e24\u79cd\u65b9\u6cd5\u7684\u672c\u8d28\u533a\u522b\uff1aSFT \u662f\u300c\u6a21\u4eff\u5b66\u4e60\u300d\uff0c\u8bd5\u56fe\u590d\u5236\u53c2\u8003\u67e5\u8be2\uff0c\u800c RL \u662f\u300c\u76f4\u63a5\u4f18\u5316\u300d\uff0c\u901a\u8fc7\u73af\u5883\u53cd\u9988\u5b66\u4e60\u6700\u4f18\u67e5\u8be2\u7b56\u7565\u3002SFT \u65b9\u6cd5\u7684\u5c40\u9650\u5728\u4e8e\u53c2\u8003\u67e5\u8be2\u672c\u8eab\u53ef\u80fd\u4e0d\u662f\u6700\u4f18\u7684\uff0c\u5373\u4f7f\u662f\u4eba\u7c7b\u4e13\u5bb6\u6216\u5927\u6a21\u578b\u4e5f\u96be\u4ee5\u76f4\u89c2\u8bbe\u8ba1\u51fa\u6700\u9002\u5408\u7279\u5b9a\u641c\u7d22\u5f15\u64ce\u7684\u67e5\u8be2\u8868\u8fbe\u3002<\/p>\n

            \u8bba\u6587\u4e2d\u7684\u6848\u4f8b\u5206\u6790\u8fdb\u4e00\u6b65\u8bc1\u5b9e\u4e86\u8fd9\u4e00\u70b9\u3002\u4f8b\u5982\uff0c\u5728 PubMed \u641c\u7d22\u4e2d\uff0cDeepRetrieval \u751f\u6210\u7684\u67e5\u8be2\u5982\u300c((DDAVP) AND (Perioperative Procedures OR Blood Transfusion OR Desmopressin OR Anticoagulant)) AND (Randomized Controlled Trial)\u300d\u878d\u5408\u4e86\u533b\u5b66\u9886\u57df\u7684\u4e13\u4e1a\u672f\u8bed\u548c PubMed \u641c\u7d22\u5f15\u64ce\u504f\u597d\u7684\u5e03\u5c14\u7ed3\u6784\uff0c\u8fd9\u79cd\u7ec4\u5408\u5f88\u96be\u901a\u8fc7\u7b80\u5355\u6a21\u4eff\u9884\u5b9a\u4e49\u7684\u67e5\u8be2\u6a21\u677f\u83b7\u5f97\u3002<\/p>\n

            \u76f8\u53cd\uff0cRL \u5141\u8bb8\u6a21\u578b\u901a\u8fc7\u5c1d\u8bd5\u4e0e\u9519\u8bef\u6765\u63a2\u7d22\u67e5\u8be2\u7a7a\u95f4\uff0c\u53d1\u73b0\u4eba\u7c7b\u751a\u81f3\u672a\u8003\u8651\u7684\u6709\u6548\u6a21\u5f0f\uff0c\u5e76\u76f4\u63a5\u9488\u5bf9\u6700\u7ec8\u76ee\u6807\uff08\u5982 Recall \u6216\u6267\u884c\u51c6\u786e\u7387\uff09\u8fdb\u884c\u4f18\u5316\u3002\u8fd9\u4f7f DeepRetrieval \u80fd\u591f\u751f\u6210\u9ad8\u5ea6\u9002\u5408\u7279\u5b9a\u641c\u7d22\u5f15\u64ce\u7279\u6027\u7684\u67e5\u8be2\uff0c\u9002\u5e94\u4e0d\u540c\u68c0\u7d22\u73af\u5883\u7684\u72ec\u7279\u9700\u6c42\u3002<\/p>\n

            \u8fd9\u4e00\u53d1\u73b0\u5177\u6709\u91cd\u8981\u542f\u793a\uff1a\u5728\u8ffd\u6c42\u6700\u4f73\u68c0\u7d22\u6027\u80fd\u65f6\uff0c\u8ba9\u6a21\u578b\u901a\u8fc7\u53cd\u9988\u5b66\u4e60\u5982\u4f55\u4e0e\u68c0\u7d22\u7cfb\u7edf\u300c\u5bf9\u8bdd\u300d\uff0c\u6bd4\u7b80\u5355\u6a21\u4eff\u65e2\u5b9a\u6a21\u5f0f\u66f4\u4e3a\u6709\u6548\uff0c\u8fd9\u4e5f\u89e3\u91ca\u4e86\u4e3a\u4f55\u53c2\u6570\u91cf\u8f83\u5c0f\u7684 DeepRetrieval \u80fd\u5728\u591a\u9879\u4efb\u52a1\u4e0a\u8d85\u8d8a\u62e5\u6709\u66f4\u591a\u53c2\u6570\u7684\u5546\u4e1a\u6a21\u578b\u3002<\/p>\n

            \u6a21\u578b Think&Query \u957f\u5ea6\u5206\u6790<\/h4>\n

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

            \u901a\u8fc7\u5206\u6790 DeepRetrieval \u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u6a21\u578b\u601d\u8003\u94fe\u548c\u67e5\u8be2\u957f\u5ea6\u7684\u53d8\u5316\uff0c\u53ef\u4ee5\u53d1\u73b0\u4ee5\u4e0b\u5173\u952e\u6d1e\u89c1\uff1a<\/p>\n

            \u601d\u8003\u94fe\u957f\u5ea6\u6f14\u53d8<\/strong><\/p>\n

            \u4e0e\u300caha moment\u300d\u76f8\u53cd\uff0cDeepRetrieval \u7684\u601d\u8003\u94fe\u957f\u5ea6\u968f\u8bad\u7ec3\u5448\u4e0b\u964d\u8d8b\u52bf\uff0c\u800c\u975e\u589e\u957f\u3002\u8fd9\u4e0e DeepSeek-R1 \u62a5\u544a\u7684\u300caha moment\u300d\u73b0\u8c61\u5f62\u6210\u9c9c\u660e\u5bf9\u6bd4\uff0c\u540e\u8005\u7684\u601d\u8003\u94fe\u4f1a\u968f\u8bad\u7ec3\u8fdb\u5c55\u53d8\u5f97\u66f4\u957f\u3002\u56fe 4(a) \u6e05\u6670\u5730\u5c55\u793a\u4e86 Qwen \u6a21\u578b\u601d\u8003\u94fe\u4ece\u521d\u59cb\u7ea6 150 tokens \u9010\u6e10\u964d\u81f3\u7a33\u5b9a\u7684 50 tokens \u5de6\u53f3\uff0c\u800c Llama \u6a21\u578b\u7684\u601d\u8003\u94fe\u66f4\u77ed\uff0c\u751a\u81f3\u964d\u81f3\u63a5\u8fd1 25 tokens\u3002<\/p>\n

            \u67e5\u8be2\u957f\u5ea6\u7279\u5f81<\/strong><\/p>\n

            \u5b9e\u9a8c\u63ed\u793a\u4e86\u601d\u8003\u8fc7\u7a0b\u5bf9\u67e5\u8be2\u957f\u5ea6\u7684\u663e\u8457\u5f71\u54cd\u3002\u65e0\u601d\u8003\u8fc7\u7a0b\u7684\u6a21\u578b\u5bb9\u6613\u9677\u5165\u6b21\u4f18\u89e3\uff0c\u5982\u56fe 4(b) \u6240\u793a\uff0cQwen \u65e0\u601d\u8003\u7248\u672c\u751f\u6210\u6781\u957f\u67e5\u8be2\uff08500-600 tokens\uff09\uff0c\u8868\u73b0\u51fa\u8fc7\u5ea6\u6269\u5c55\u7684\u503e\u5411\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u6709\u601d\u8003\u8fc7\u7a0b\u7684\u6a21\u578b\u4fdd\u6301\u66f4\u4e3a\u9002\u4e2d\u7684\u67e5\u8be2\u957f\u5ea6\uff0cQwen \u7ea6 150 tokens\uff0cLlama \u7ea6 100 tokens\u3002\u6709\u8da3\u7684\u662f\uff0c\u4e0d\u540c\u6a21\u578b\u91c7\u7528\u4e0d\u540c\u957f\u5ea6\u7b56\u7565\uff0c\u4f46\u80fd\u8fbe\u5230\u76f8\u4f3c\u6027\u80fd\uff0c\u8868\u660e\u67e5\u8be2\u751f\u6210\u5b58\u5728\u591a\u6837\u6709\u6548\u8def\u5f84\u3002<\/p>\n

            \u6027\u80fd\u4e0e\u601d\u8003\u8fc7\u7a0b\u5173\u7cfb<\/strong><\/p>\n

            \u601d\u8003\u8fc7\u7a0b\u5bf9\u68c0\u7d22\u6027\u80fd\u6709\u51b3\u5b9a\u6027\u5f71\u54cd\u3002\u56fe 4(c) \u8868\u660e\uff0c\u5177\u5907\u601d\u8003\u80fd\u529b\u7684\u6a21\u578b\u6027\u80fd\u663e\u8457\u63d0\u5347\uff0c\u6709\u601d\u8003\u7684\u6a21\u578b Recall@3K \u80fd\u8fbe\u5230 65%\uff0c\u800c\u65e0\u601d\u8003\u6a21\u578b\u4ec5 50% \u5de6\u53f3\u3002\u6b64\u5916\uff0c\u8bad\u7ec3\u6548\u7387\u4e5f\u660e\u663e\u63d0\u9ad8\uff0c\u6709\u601d\u8003\u7684\u6a21\u578b\u66f4\u5feb\u8fbe\u5230\u9ad8\u6027\u80fd\u5e76\u4fdd\u6301\u7a33\u5b9a\u3002\u8bba\u6587\u9644\u5f55 D.1 \u7684\u5206\u6790\u8868\u660e\uff0c\u601d\u8003\u8fc7\u7a0b\u5e2e\u52a9\u6a21\u578b\u907f\u514d\u7b80\u5355\u5730\u901a\u8fc7\u589e\u52a0\u67e5\u8be2\u957f\u5ea6\u548c\u91cd\u590d\u672f\u8bed\u6765\u63d0\u5347\u6027\u80fd\uff0c\u800c\u662f\u5f15\u5bfc\u6a21\u578b\u5b66\u4e60\u66f4\u6709\u6548\u7684\u8bed\u4e49\u7ec4\u7ec7\u7b56\u7565\u3002<\/p>\n

            \u5173\u952e\u7ed3\u8bba<\/strong><\/p>\n

            DeepRetrieval \u5c55\u793a\u4e86\u601d\u8003\u8fc7\u7a0b\u5728\u4fe1\u606f\u68c0\u7d22\u4e2d\u626e\u6f14\u300c\u63a2\u7d22\u4fc3\u8fdb\u5668\u300d\u7684\u5173\u952e\u89d2\u8272\u3002\u4e0e\u6570\u5b66\u6216\u7f16\u7a0b\u95ee\u9898\u4e0d\u540c\uff0c\u68c0\u7d22\u4efb\u52a1\u4e0d\u9700\u8981\u50cf\u300caha moment\u300d\u90a3\u6837\u7684\u7a81\u7136\u987f\u609f\u73b0\u8c61\u3002\u76f8\u53cd\uff0c\u68c0\u7d22\u4f18\u5316\u9075\u5faa\u300c\u5148\u8be6\u7ec6\u601d\u8003\uff0c\u540e\u9010\u6e10\u7cbe\u7b80\u300d\u7684\u6a21\u5f0f\uff0c\u6a21\u578b\u5728\u5185\u5316\u6709\u6548\u7b56\u7565\u540e\uff0c\u4e0d\u518d\u9700\u8981\u5197\u957f\u601d\u8003\u3002\u8fd9\u8868\u660e\u68c0\u7d22\u4efb\u52a1\u4e2d\u601d\u8003\u94fe\u7684\u4e3b\u8981\u529f\u80fd\u662f\u63a2\u7d22\uff0c\u4e00\u65e6\u7b56\u7565\u7a33\u5b9a\u4fbf\u53ef\u7b80\u5316\u3002<\/p>\n

            \u8fd9\u79cd\u5206\u6790\u8868\u660e\uff0c\u9002\u5f53\u7684\u601d\u8003\u8fc7\u7a0b\u8bbe\u8ba1\u5bf9\u4e8e\u6784\u5efa\u9ad8\u6548\u7684\u68c0\u7d22\u4f18\u5316\u7cfb\u7edf\u81f3\u5173\u91cd\u8981\uff0c\u80fd\u591f\u5728\u4e0d\u589e\u52a0\u6a21\u578b\u53c2\u6570\u7684\u60c5\u51b5\u4e0b\u663e\u8457\u63d0\u5347\u6027\u80fd\uff0c\u4e3a\u672a\u6765\u7684 LLM \u5e94\u7528\u4e8e\u641c\u7d22\u4efb\u52a1\u63d0\u4f9b\u4e86\u91cd\u8981\u8bbe\u8ba1\u601d\u8def\u3002<\/p>\n

            \u7ed3\u8bba<\/h4>\n

            DeepRetrieval \u7684\u8d21\u732e\u5728\u4e8e\u63ed\u793a\u4e86\u4e00\u4e2a\u5e38\u88ab\u5ffd\u89c6\u4f46\u81f3\u5173\u91cd\u8981\u7684\u4e8b\u5b9e\uff1a\u68c0\u7d22\u6548\u679c\u7684\u4e0a\u9650\u4e0d\u4ec5\u5728\u4e8e\u68c0\u7d22\u5668\u672c\u8eab\uff0c\u66f4\u5728\u4e8e\u5982\u4f55\u300c\u63d0\u95ee\u300d\u3002<\/p>\n

            \u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u6559 LLM \u6539\u5199\u539f\u59cb\u67e5\u8be2\uff0cDeepRetrieval \u4e0d\u4ec5\u6446\u8131\u4e86\u5bf9\u4eba\u5de5\u6807\u6ce8\u6570\u636e\u548c\u5927\u6a21\u578b\u84b8\u998f\u7684\u4f9d\u8d56\uff0c\u8fd8\u5728\u591a\u4e2a\u4efb\u52a1\u4e0a\u8bc1\u660e\u4e86\u6539\u5199 query \u7684\u5de8\u5927\u6f5c\u529b\u3002\u8fd9\u9879\u5de5\u4f5c\u4e3a\u641c\u7d22\u4e0e\u4fe1\u606f\u68c0\u7d22\u9886\u57df\u5e26\u6765\u4e86\u65b0\u7684\u601d\u8003\uff1a\u672a\u6765\u7684\u68c0\u7d22\u4f18\u5316\uff0c\u4e0d\u4ec5\u662f\u63d0\u5347\u5f15\u64ce\u7b97\u6cd5\uff0c\u66f4\u662f\u5982\u4f55\u8ba9\u7528\u6237\u300c\u95ee\u5f97\u66f4\u597d\u300d\uff0c\u4ece\u800c\u6fc0\u53d1\u51fa\u68c0\u7d22\u7cfb\u7edf\u7684\u5168\u90e8\u6f5c\u529b\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":"

            \u6765\u81ea UIUC \u7684 Jiawei Han \u548c Jimeng Sun \u56e2\u961f\u7684\u4e00\u9879\u6700\u65b0\u5de5\u4f5c\u00a0DeepRetriev […]<\/p>\n

            <\/div>\n

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

            <\/div>\n","protected":false},"author":56,"featured_media":25331,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,23,20,80],"tags":[124,1635,820],"class_list":["post-25329","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-23","category-20","category-80","tag-ai","tag-1635","tag-820"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25329","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=25329"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25329\/revisions"}],"predecessor-version":[{"id":25332,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25329\/revisions\/25332"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/25331"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=25329"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=25329"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=25329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}