{"id":28446,"date":"2025-12-18T09:04:30","date_gmt":"2025-12-18T01:04:30","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=28446"},"modified":"2025-12-18T09:04:30","modified_gmt":"2025-12-18T01:04:30","slug":"%e7%bb%8f%e9%aa%8c%e8%ae%b0%e5%bf%86%e9%bb%91%e7%a7%91%e6%8a%80%ef%bc%9alightsearcher%e8%ae%a9ai%e5%b7%a5%e5%85%b7%e8%b0%83%e7%94%a8%e5%87%8f39-6%e3%80%81%e6%8e%a8%e7%90%86%e5%bf%ab48-6","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/12\/18\/28446\/","title":{"rendered":"\u7ecf\u9a8c\u8bb0\u5fc6\u9ed1\u79d1\u6280\uff1aLightSearcher\u8ba9AI\u5de5\u5177\u8c03\u7528\u51cf39.6%\u3001\u63a8\u7406\u5feb48.6%"},"content":{"rendered":"
\u5317\u90ae\u767e\u5bb6 AI \u56e2\u961f\u63d0\u51fa LightSearcher \u6846\u67b6\uff0c\u9996\u521b\u57fa\u4e8e\u7ecf\u9a8c\u8bb0\u5fc6\u7684\u9ad8\u6548 RL \u4f18\u5316\u6280\u672f\uff0c\u901a\u8fc7\u5f15\u5165\u6587\u672c\u5316\u7ecf\u9a8c\u8bb0\u5fc6\u548c\u81ea\u9002\u5e94\u5956\u52b1\u5851\u9020\u673a\u5236\uff0c\u5de7\u5999\u89e3\u51b3\u4e86\u8fd9\u4e00\u75db\u70b9\u3002<\/div>\n
\n
\n

\u5982\u4eca\uff0c\u4ee5 DeepSeek-R1 \u4e3a\u4ee3\u8868\u7684\u6df1\u5ea6\u601d\u8003\u5927\u6a21\u578b\u80fd\u591f\u5904\u7406\u590d\u6742\u7684\u63a8\u7406\u4efb\u52a1\uff0c\u800cDeepSearch \u4f5c\u4e3a\u6df1\u5ea6\u601d\u8003\u5927\u6a21\u578b\u7684\u6838\u5fc3\u641c\u7d22\u5668\uff0c\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\u901a\u8fc7\u8fed\u4ee3\u8c03\u7528\u5916\u90e8\u641c\u7d22\u5de5\u5177\uff0c\u8bbf\u95ee\u53c2\u6570\u8fb9\u754c\u4e4b\u5916\u7684\u6700\u65b0\u3001\u9886\u57df\u7279\u5b9a\u77e5\u8bc6\uff0c\u4ece\u800c\u63d0\u5347\u63a8\u7406\u7684\u6df1\u5ea6\u548c\u4e8b\u5b9e\u53ef\u9760\u6027\u3002<\/p>\n

\u7136\u800c\uff0c\u73b0\u6709\u7684 RL \u9a71\u52a8\u7684\u6df1\u5ea6\u601d\u8003\u5927\u6a21\u578b\u7cfb\u7edf\u5e38\u5e38\u9762\u4e34\u51c6\u786e\u7387\u4e0e\u6548\u7387\u7684\u300c\u8df7\u8df7\u677f\u300d\u56f0\u5883\uff1a\u9891\u7e41\u8c03\u7528\u641c\u7d22\u5de5\u5177\u63d0\u5347\u51c6\u786e\u6027\uff0c\u5374\u5e26\u6765\u8ba1\u7b97\u5f00\u9500\u548c\u6548\u7387\u4f4e\u4e0b\u3002\u5177\u4f53\u800c\u8a00\uff0c\u9ad8\u9891\u8c03\u7528\u5916\u90e8\u641c\u7d22\u5de5\u5177\u867d\u80fd\u8865\u5145\u5b9e\u65f6\u4fe1\u606f\u3001\u63d0\u5347\u63a8\u7406\u51c6\u786e\u7387\uff0c\u4f46\u4f7f\u5f97\u63a8\u7406\u5ef6\u8fdf\u5927\u5e45\u5347\u9ad8\uff0c\u7b49\u5f85\u65f6\u95f4\u53ef\u8fbe\u51e0\u5341\u79d2\u81f3\u51e0\u5206\u949f\u3002\u4ece\u7528\u6237\u4f53\u9a8c\u89d2\u5ea6\u6765\u770b\uff0c\u82e5\u4fe1\u606f\u52a0\u8f7d\u65f6\u95f4\u8d85\u8fc7 10 \u79d2\uff0c50% \u7684\u79fb\u52a8\u7528\u6237\u4f1a\u653e\u5f03\u8bbf\u95ee\u3002<\/p>\n

\u5317\u90ae\u767e\u5bb6 AI \u56e2\u961f\u63d0\u51fa\u00a0LightSearcher\u00a0\u6846\u67b6\uff0c\u9996\u521b\u57fa\u4e8e\u7ecf\u9a8c\u8bb0\u5fc6\u7684\u9ad8\u6548 RL \u4f18\u5316\u6280\u672f\uff0c\u901a\u8fc7\u5f15\u5165\u6587\u672c\u5316\u7ecf\u9a8c\u8bb0\u5fc6\u548c\u81ea\u9002\u5e94\u5956\u52b1\u5851\u9020\u673a\u5236\uff0c\u5de7\u5999\u89e3\u51b3\u4e86\u8fd9\u4e00\u75db\u70b9\u3002<\/p>\n

\u5728\u4fdd\u6301\u4e0e SOTA \u57fa\u7ebf\u00a0ReSearch\u00a0\u76f8\u5f53\u51c6\u786e\u7387\u7684\u540c\u65f6\uff0c\u641c\u7d22\u5de5\u5177\u8c03\u7528\u548c\u6a21\u578b\u56de\u590d\u65f6\u95f4\u663e\u8457\u7f29\u77ed\uff0c\u641c\u7d22\u5de5\u5177\u8c03\u7528\u6b21\u6570\u51cf\u5c11 39.6%\uff0c\u63a8\u7406\u65f6\u95f4\u7f29\u77ed 48.6%\uff0cToken \u6d88\u8017\u964d\u4f4e 21.2%\uff0c\u5728\u4fdd\u6301\u6a21\u578b\u6548\u679c\u7684\u540c\u65f6\u663e\u8457\u63d0\u5347\u4e86\u5de5\u5177\u8c03\u7528\u6548\u7387\u3002<\/p>\n

<\/p>\n

    \n
  • \u8bba\u6587\u6807\u9898\uff1aLightSearcher: Efficient DeepSearch via Experiential Memory<\/li>\n
  • \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2512.06653<\/li>\n
  • \u767e\u5bb6 AI \u4e3b\u9875\uff1ahttps:\/\/baijia.online\/homepage\/index<\/li>\n<\/ul>\n

    \u5f15\u8a00<\/h4>\n

    \u5982\u4f55\u6559\u4f1a\u6df1\u5ea6\u601d\u8003\u5927\u6a21\u578b\u7b56\u7565\u6027\u5730\u63a7\u5236\u641c\u7d22\u5de5\u5177\u7684\u4f7f\u7528\uff0c\u4f18\u5316\u4f55\u65f6\u4ee5\u53ca\u5982\u4f55\u67e5\u8be2\u5916\u90e8\u77e5\u8bc6\u6e90\uff0c\u662f\u6df1\u5ea6\u601d\u8003\u5927\u6a21\u578b\u4e9f\u5f85\u89e3\u51b3\u7684\u95ee\u9898\u3002\u73b0\u6709\u65b9\u6cd5\u5b58\u5728\u4ee5\u4e0b\u663e\u8457\u7f3a\u9677\uff1a<\/p>\n

      \n
    1. \u63d0\u793a\u5de5\u7a0b\u6216\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\u4f9d\u8d56\u4eba\u5de5\u6807\u6ce8\uff0c\u6210\u672c\u9ad8\u4e14\u6cdb\u5316\u5dee\uff1bRL \u9a71\u52a8\u65b9\u6cd5\u867d\u80fd\u81ea\u4e3b\u4f18\u5316\uff0c\u4f46\u5956\u52b1\u504f\u91cd\u51c6\u786e\u6027\uff0c\u5bfc\u81f4\u6a21\u578b\u4e3a\u786e\u4fdd\u6b63\u786e\u800c\u9891\u7e41\u8c03\u7528\u5de5\u5177\uff0c\u9020\u6210\u5197\u4f59\u5f00\u9500\uff1b<\/li>\n
    2. \u5de5\u5177\u8c03\u7528\u300c\u8fc7\u5ea6\u4f9d\u8d56\u300d\uff0c\u73b0\u6709\u6a21\u578b\u5f80\u5f80\u4e0d\u5206\u96be\u6613\uff0c\u5bf9\u7b80\u5355\u67e5\u8be2\u4e5f\u53cd\u590d\u68c0\u7d22\uff0c\u5bfc\u81f4\u63a8\u7406\u65f6\u95f4\u5ef6\u957f\u3001token \u6d88\u8017\u6fc0\u589e\uff1b<\/li>\n
    3. \u51c6\u786e\u6027\u4e0e\u6548\u7387\u5931\u8861\uff0c\u90e8\u5206\u65b9\u6cd5\u867d\u63d0\u5347\u51c6\u786e\u7387\uff0c\u4f46\u727a\u7272\u6548\u7387\uff1b\u53e6\u4e00\u4e9b\u867d\u51cf\u5c11\u8c03\u7528\uff0c\u5374\u964d\u4f4e\u7b54\u6848\u8d28\u91cf\uff0c\u65e0\u6cd5\u517c\u987e\u53cc\u91cd\u76ee\u6807\u3002<\/li>\n<\/ol>\n

      \u8fd9\u4e9b\u95ee\u9898\u5bfc\u81f4\u73b0\u6709\u6a21\u578b\u8981\u4e48\u7b54\u6848\u4e0d\u51c6\u3001\u53ef\u9760\u6027\u5dee\uff0c\u8981\u4e48\u5de5\u5177\u8c03\u7528\u8fc7\u591a\u3001\u6548\u7387\u4f4e\u4e0b\uff0c\u96be\u4ee5\u540c\u65f6\u6ee1\u8db3\u63a8\u7406\u51c6\u786e\u548c\u9ad8\u6548\u6267\u884c\u7684\u6838\u5fc3\u9700\u6c42\u3002<\/p>\n

      LightSearcher \u6846\u67b6<\/h4>\n

      \u4e3a\u89e3\u51b3\u4e0a\u8ff0\u7f3a\u9677\uff0c\u5317\u90ae\u767e\u5bb6 AI \u56e2\u961f\u63d0\u51fa\u57fa\u4e8e\u7ecf\u9a8c\u8bb0\u5fc6\u7684\u9ad8\u6548 DeepSearch \u6846\u67b6\uff08LightSearcher\uff09\uff0c\u6838\u5fc3\u601d\u8def\u662f\u5728\u5927\u6a21\u578b\u5f3a\u5316\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u901a\u8fc7\u300c\u5bf9\u6bd4\u7ecf\u9a8c\u5b66\u4e60\u300d\u5c06\u9690\u6027\u63a8\u7406\u8f68\u8ff9\u8f6c\u5316\u4e3a\u663e\u6027\u6307\u5bfc\u7ecf\u9a8c\uff0c\u5e76\u7ed3\u5408\u81ea\u9002\u5e94\u5956\u52b1\u4f18\u5316\u5de5\u5177\u8c03\u7528\uff0c\u5177\u4f53\u5305\u542b\u4e09\u5927\u5173\u952e\u7ec4\u4ef6\uff1a<\/p>\n

        \n
      1. \u5bf9\u6bd4\u7ecf\u9a8c\u63a8\u7406\u673a\u5236\uff08Contrastive Experiential Reasoning\uff09\uff1a\u6536\u96c6\u9ad8\u4f4e\u8d28\u91cf\u63a8\u7406\u8f68\u8ff9\uff0c\u901a\u8fc7 LLM \u751f\u6210\u6210\u529f\u6a21\u5f0f\u7684\u81ea\u7136\u8bed\u8a00\u603b\u7ed3\uff08\u5982\u300c\u7b80\u5355\u67e5\u8be2\u4f18\u5148\u7528\u5185\u90e8\u77e5\u8bc6\u300d\uff09\uff0c\u6784\u5efa\u52a8\u6001\u7ecf\u9a8c\u8bb0\u5fc6\u5e93\uff1b<\/li>\n
      2. \u81ea\u9002\u5e94\u5956\u52b1\u5851\u9020\u673a\u5236\uff08Adaptive Reward Shaping\uff09\uff1a\u5f15\u5165\u6700\u5c0f\u5de5\u5177\u8c03\u7528\u57fa\u51c6\uff0c\u4ec5\u5728\u7b54\u6848\u6b63\u786e\u65f6\u60e9\u7f5a\u5197\u4f59\u8c03\u7528\uff0c\u4f7f\u7528\u6307\u6570\u8870\u51cf\u51fd\u6570\u52a8\u6001\u5e73\u8861\u51c6\u786e\u6027\u548c\u6548\u7387\uff0c\u907f\u514d\u76f2\u76ee\u4f18\u5316\uff1b<\/li>\n
      3. \u57fa\u4e8e\u7ecf\u9a8c\u7684 RL \u8bad\u7ec3\u673a\u5236\uff1a\u91c7\u7528 GRPO \u7b97\u6cd5\uff0c\u5c06\u79ef\u7d2f\u7ecf\u9a8c\u548c\u5c11\u6837\u672c\u793a\u4f8b\u878d\u5165\u63d0\u793a\u6a21\u677f\uff0c\u6307\u5bfc\u6a21\u578b\u751f\u6210\u9ad8\u6548\u8f68\u8ff9\uff0c\u786e\u4fdd\u63a2\u7d22\u4e0e\u5229\u7528\u7684\u5747\u8861\u3002<\/li>\n<\/ol>\n

        <\/p>\n

        \u6a21\u578b\u6700\u7ec8\u4f18\u5316\u76ee\u6807\u4e3a\u591a\u76ee\u6807\u5956\u52b1\u51fd\u6570\u7684\u52a0\u6743\u548c\uff0c\u786e\u4fdd\u5de5\u5177\u8c03\u7528\u7cbe\u7b80\u4e0e\u7b54\u6848\u8d28\u91cf\u7684\u534f\u540c\u63d0\u5347\u3002<\/p>\n

        \u5b9e\u9a8c<\/h4>\n

        \u7814\u7a76\u56e2\u961f\u5728\u56db\u4e2a\u591a\u8df3 QA \u57fa\u51c6\u6570\u636e\u96c6\uff08NQ\u3001HotpotQA\u3001Musique\u30012WikiMultihopQA\uff09\u4e0a\u8fdb\u884c\u4e86\u5168\u9762\u8bc4\u4f30\uff0c\u5bf9\u6bd4\u4e86\u591a\u79cd\u4e3b\u6d41 DeepSearch \u65b9\u6cd5\u3002<\/p>\n

        3.1 \u4e3b\u5b9e\u9a8c\u7ed3\u679c<\/strong><\/p>\n

        <\/p>\n

        \u5b9e\u9a8c\u7ed3\u679c\u663e\u793a:<\/p>\n

          \n
        • \u6a21\u578b\u51c6\u786e\u6027\u4fdd\u6301\u9876\u5c16\uff1aLightSearcher \u5728 F1 \u5206\u6570\u548c LLM \u8bc4\u5224\u4e0a\u4e0e\u00a0SOTA\u00a0\u57fa\u7ebf ReSearch \u76f8\u5f53\uff0c\u751a\u81f3\u5728\u90e8\u5206\u6570\u636e\u96c6\u4e0a\u4f18\u4e8e ReSearch\uff1b<\/li>\n
        • \u6548\u7387\u663e\u8457\u63d0\u5347\uff1a\u5de5\u5177\u8c03\u7528\u51cf\u5c11 39.6%\uff0c\u63a8\u7406\u65f6\u95f4\u7f29\u77ed 48.6%\uff0ctoken \u6d88\u8017\u964d\u4f4e 21.2%\uff1b<\/li>\n
        • \u6cdb\u5316\u80fd\u529b\u5f3a\uff1a\u5728\u4e0d\u540c\u96be\u5ea6\u7684\u67e5\u8be2\uff08\u6613 \/ \u96be\uff09\u4e0a\u5747\u8868\u73b0\u7a33\u5b9a\uff0c\u5373\u4f7f\u5728\u57df\u5916\u6d4b\u8bd5\u96c6\u4e5f\u80fd\u8d85\u8d8a\u4f9d\u8d56\u56fa\u5b9a\u68c0\u7d22\u7684\u8fed\u4ee3\u65b9\u6cd5\u3002<\/li>\n<\/ul>\n

          3.2 \u6d88\u878d\u5b9e\u9a8c<\/strong><\/p>\n

          \u79fb\u9664\u7ecf\u9a8c\u5bfc\u81f4 F1 \u4e0b\u964d 7.2%\uff0c\u8bc1\u660e\u5176\u6838\u5fc3\u4f5c\u7528\u3002<\/p>\n

          <\/p>\n

          LightSearcher \u6846\u67b6\u901a\u8fc7\u300c\u7ecf\u9a8c\u8bb0\u5fc6\u300d\u8fd9\u4e00\u6838\u5fc3\u7406\u5ff5\uff0c\u4e3a\u6784\u5efa\u9ad8\u6548\u3001\u53ef\u9760\u7684\u6df1\u5ea6\u63a8\u7406\u7cfb\u7edf\u63d0\u4f9b\u4e86\u65b0\u8def\u5f84\u3002\u5c3d\u7ba1\u76ee\u524d\u9650\u4e8e\u591a\u8df3 QA\uff0c\u672a\u6765\u53ef\u6269\u5c55\u5230\u4ee3\u7801\u5408\u6210\u3001\u7b56\u7565\u89c4\u5212\u7b49\u9886\u57df\u3002\u8bba\u6587\u6210\u529f\u89e3\u51b3\u4e86\u73b0\u6709 DeepSearch \u7684\u5173\u952e\u75db\u70b9\uff1a<\/p>\n

            \n
          • \u4ece\u9690\u6027\u5230\u663e\u6027\uff1a\u5c06\u5bf9\u6bd4\u8f68\u8ff9\u8f6c\u5316\u4e3a\u53ef\u89e3\u91ca\u7684\u63a8\u7406\u6307\u5bfc<\/li>\n
          • \u7cbe\u51c6\u5e73\u8861\uff1a\u901a\u8fc7\u81ea\u9002\u5e94\u5956\u52b1\u786e\u4fdd\u5de5\u5177\u8c03\u7528\u6700\u5c0f\u5316<\/li>\n
          • \u6548\u7387\u4f18\u5148\uff1a\u5229\u7528 RL \u8bad\u7ec3\u7ef4\u6301\u51c6\u786e\u4e0e\u5f00\u9500\u7684\u8fde\u8d2f\u6027<\/li>\n
          • \u53cc\u91cd\u4f18\u5316\uff1a\u540c\u65f6\u63d0\u5347\u63a8\u7406\u8d28\u91cf\u548c\u6267\u884c\u6548\u7387\uff0c\u800c\u975e\u987e\u6b64\u5931\u5f7c<\/li>\n<\/ul>\n

            \u6700\u540e\uff0c\u5927\u6a21\u578b\u7684 DeepSearch \u80fd\u529b\u9700\u8bbe\u8ba1\u6709\u6548\u7684\u7ecf\u9a8c\u673a\u5236\u3002\u76f8\u6bd4\u4e8e\u590d\u6742\u7684\u624b\u52a8\u6807\u6ce8\uff0cLightSearcher \u901a\u8fc7\u5176\u300c\u5bf9\u6bd4\u7ecf\u9a8c\u300d\u7684\u8bbe\u8ba1\u601d\u60f3\uff0c\u5728\u63a8\u7406\u8fc7\u7a0b\u4f9d\u8d56\u53ef\u9760\u7684\u5916\u90e8\u77e5\u8bc6\u8c03\u7528\uff0c\u4e3a\u6784\u5efa\u66f4\u52a0\u9ad8\u6548\u3001\u53ef\u9760\u7684 AI \u6df1\u5ea6\u601d\u8003\u7cfb\u7edf\u63d0\u4f9b\u4e86\u91cd\u8981\u7684\u6280\u672f\u8def\u5f84\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":"

            \u5317\u90ae\u767e\u5bb6 AI \u56e2\u961f\u63d0\u51fa LightSearcher \u6846\u67b6\uff0c\u9996\u521b\u57fa\u4e8e\u7ecf\u9a8c\u8bb0\u5fc6\u7684\u9ad8\u6548 RL \u4f18\u5316\u6280\u672f\uff0c\u901a\u8fc7\u5f15\u5165\u6587 […]<\/p>\n

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