{"id":38728,"date":"2025-02-21T23:00:53","date_gmt":"2025-02-21T15:00:53","guid":{"rendered":"https:\/\/17aitech.com\/?p=38728"},"modified":"2025-02-21T23:00:53","modified_gmt":"2025-02-21T15:00:53","slug":"%e6%85%a2%e6%80%9d%e8%80%83%e5%8a%a9%e5%8a%9b%e5%8c%bb%e5%ad%a6%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e7%aa%81%e7%a0%b4%e6%95%b0%e6%8d%ae%e7%93%b6%e9%a2%88%ef%bc%9a%e4%b8%8a%e6%b5%b7%e4%ba%a4","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38728","title":{"rendered":"\u6162\u601d\u8003\u52a9\u529b\u533b\u5b66\u5927\u8bed\u8a00\u6a21\u578b\u7a81\u7834\u6570\u636e\u74f6\u9888\uff1a\u4e0a\u6d77\u4ea4\u5927\u8054\u5408\u4e0a\u6d77AI Lab\u63a8\u51faMedS3\u7cfb\u7edf"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u6162\u601d\u8003\u52a9\u529b\u533b\u5b66\u5927\u8bed\u8a00\u6a21\u578b\u7a81\u7834\u6570\u636e\u74f6\u9888\uff1a\u4e0a\u6d77\u4ea4\u5927\u8054\u5408\u4e0a\u6d77AI Lab\u63a8\u51faMedS3\u7cfb\u7edf<\/a><\/p>\n

<\/a><\/p>\n

\u7f16\u8f91 | ScienceAI<\/p>\n

OpenAI o1\u3001DeepSeek R1 \u7b49\u6a21\u578b\u6210\u529f\u5b9e\u73b0\u4e86\u5728\u6570\u5b66\u3001\u7f16\u7a0b\u7b49\u9886\u57df\u7684\u667a\u80fd\u6162\u601d\u8003\u63a8\u7406\uff0c\u901a\u8fc7\u81ea\u6211\u53cd\u601d\u548c\u4fee\u6b63\u5b9e\u73b0\u4e86\u8fd0\u884c\u65f6\u7684\u6027\u80fd\u5916\u63a8\u3002<\/p>\n

\u7136\u800c\uff0c\u5728\u533b\u7597\u9886\u57df\uff0c\u4ecd\u7136\u5f88\u5c11\u6709\u6a21\u578b\u53ef\u4ee5\u5b9e\u73b0\u5177\u6709\u957f\u94fe\u6162\u601d\u8003\u7684\u63a8\u7406<\/strong>\u3002\u76ee\u524d\u533b\u7597\u9886\u57df\u7684\u63a8\u7406\u6a21\u578b\u5927\u591a\u662f\u901a\u8fc7\u5728\u533b\u7597\u8003\u8bd5\u9898\u4e0a\u5bf9 OpenAI \u7cfb\u5217\u7684\u6a21\u578b\u8fdb\u884c\u84b8\u998f\uff0c\u5e76\u6ca1\u6709\u8003\u8651\u63a8\u7406\u8fc7\u7a0b\u7684\u53ef\u9a8c\u8bc1\u6027\uff0c\u4ee5\u53ca\u533b\u7597\u4efb\u52a1\u7684\u8986\u76d6\u5ea6<\/strong>\u3002<\/p>\n

<\/a><\/p>\n

\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u4eba\u5de5\u667a\u80fd<\/mark>\u5b66\u9662\u3001\u590d\u65e6\u5927\u5b66<\/mark>\u548c\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd<\/mark>\u5b9e\u9a8c\u5ba4\u7684\u56e2\u961f\u5f00\u53d1\u4e86\u4e00\u79cd\u65b0\u578b\u533b\u5b66\u63a8\u7406\u7cfb\u7edf\u2014\u2014MedS3\u3002<\/p>\n

\u8be5\u7cfb\u7edf\u91c7\u7528\u81ea\u6211\u8fdb\u5316\u7684\u300c\u6162\u601d\u8003\u300d\u8303\u5f0f\uff0c\u65e0\u9700\u9884\u8bad\u7ec3\u548c\u6a21\u578b\u84b8\u998f\uff0c\u80fd\u591f\u5bf9\u63a8\u7406\u6d41\u7a0b\u7684\u6bcf\u4e00\u6b65\u8fdb\u884c\u7ec6\u7c92\u5ea6\u9a8c\u8bc1\u3002<\/p>\n

<\/a><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2501.12051<\/em><\/p>\n

\u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/pixas.github.io\/MedS3-pages\/<\/em><\/p>\n

\u8bba\u6587\u6807\u9898\uff1aMedS3: Towards Medical Small Language Models with Self-Evolved Slow Thinking<\/em><\/p>\n

MedS3 \u7531\u7b56\u7565\u6a21\u578b\uff08Policy Model\uff09\u548c\u8fc7\u7a0b\u5956\u52b1\u6a21\u578b\uff08Process Reward Model; PRM\uff09\u7ec4\u6210\uff0c\u901a\u8fc7\u5728 16 \u79cd\u4e0d\u540c\u6570\u636e\u96c6\u4e0a\u7684\u5b66\u4e60\uff0c\u5305\u62ec\u533b\u7597\u8bca\u65ad\u3001\u751f\u7269\u533b\u5b66\u548c\u77e5\u8bc6\u6027\u95ee\u7b54\u7b49\u3002<\/p>\n

\u4ec5\u4f7f\u7528 7465 \u6761\u79cd\u5b50\u6570\u636e\uff0c\u7ed3\u5408\u7ec6\u7c92\u5ea6\u7684\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\u548c\u89c4\u5219\u9a8c\u8bc1\u7684\u8fc7\u7a0b\u76d1\u7763\u4fe1\u53f7\uff0cMedS3 \u8fed\u4ee3\u4f18\u5316\u7b56\u7565\u6a21\u578b\u548c\u8fc7\u7a0b\u5956\u52b1\u6a21\u578b\u3002<\/p>\n

\u8bc4\u4f30\u7ed3\u679c\u663e\u793a\uff0cMedS3 \u5728\u533b\u7597\u77e5\u8bc6\u95ee\u7b54\u3001\u751f\u7269\u533b\u5b66\u95ee\u7b54\u3001\u957f\u4e0a\u4e0b\u6587\u95ee\u7b54\u548c\u533b\u7597\u8bca\u65ad\u4efb\u52a1\u4e0a\u7684\u63a8\u7406\u80fd\u529b\u663e\u8457\u8d85\u8d8a\u73b0\u6709\u533b\u7597\u5927\u6a21\u578b\u548c\u901a\u7528\u57df\u63a8\u7406\u6a21\u578b\uff0c\u6210\u4e3a\u9996\u4e2a\u5728\u533b\u7597\u8bca\u65ad\u4efb\u52a1\u4e0a\u5b9e\u73b0\u957f\u94fe\u63a8\u7406\u300cR1\u300d\u7684\u5927\u8bed\u8a00\u6a21\u578b<\/mark>\u6846\u67b6\u3002<\/p>\n

\u7814\u7a76\u52a8\u673a<\/strong><\/p>\n

\u4ee5\u5f80\u7684\u533b\u7597\u6a21\u578b\u8bad\u7ec3\u9762\u4e34\u533b\u7597\u8bed\u6599\u532e\u4e4f\u7684\u95ee\u9898\uff0c\u901a\u5e38\u6709\u4e24\u79cd\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n

\uff081\uff09\u5728\u5927\u89c4\u6a21\u4eba\u5de5\u6536\u96c6\u7b5b\u9009\u7684\u533b\u7597\u8bed\u6599\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\uff1b<\/p>\n

\uff082\uff09\u5728\u5c11\u91cf\u7279\u5b9a\u4efb\u52a1\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u6709\u76d1\u7763\u5fae\u8c03\u3002\u7136\u800c\uff0c\u7b2c\u4e00\u79cd\u65b9\u6cd5\u6d88\u8017\u5927\u91cf\u8ba1\u7b97\u8d44\u6e90\uff0c\u4f46\u4e0b\u6e38\u4efb\u52a1\u6027\u80fd\u63d0\u5347\u6709\u9650\uff1b\u7b2c\u4e8c\u79cd\u65b9\u6cd5\u867d\u8ba1\u7b97\u9ad8\u6548\uff0c\u4f46\u5fae\u8c03\u6570\u636e\u591a\u4e3a\u95ed\u6e90\u6a21\u578b\u751f\u6210\u7684\u84b8\u998f\u6570\u636e\u6216\u4eba\u5de5\u6807\u6ce8\u7684\u77ed\u56de\u590d\u6570\u636e\uff0c\u9650\u5236\u4e86\u6a21\u578b\u7684\u4f18\u5316\u7a7a\u95f4\u548c\u8de8\u4efb\u52a1\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n

\u7cfb\u7edf\u6846\u67b6<\/strong><\/p>\n

\u4e3a\u4e86\u89e3\u51b3\u533b\u7597\u6a21\u578b\u7684\u6570\u636e\u56f0\u5883\uff0cMedS3 \u8f6c\u5411\u8fd0\u884c\u65f6\u7f29\u653e\uff08test-time scaling\uff09\uff0c\u4ee5\u4e00\u79cd\u6570\u636e\u9ad8\u6548\u7684\u540e\u8bad\u7ec3\u65b9\u6cd5\u8fdb\u884c\u63d0\u5347\uff0c\u4ece\u800c\u7a81\u7834\u6570\u636e\u96c6\u6807\u6ce8\u7684\u7ea6\u675f\uff0c\u5728\u5e73\u8861\u8ba1\u7b97\u8d44\u6e90\u4e0e\u6027\u80fd\u4e4b\u95f4\u7684\u77db\u76fe\u4e0b\uff0c\u9ad8\u6548\u5229\u7528\u73b0\u6709\u7684\u533b\u7597\u6570\u636e\u3002<\/p>\n

MedS3 \u7684\u6838\u5fc3\u5728\u4e8e\u5176\u72ec\u7279\u7684\u81ea\u6211\u8fdb\u5316\u6846\u67b6\u3002\u7814\u7a76\u8005\u9996\u5148\u5229\u7528\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\uff08MCTS\uff09\u6280\u672f\uff0c\u57fa\u4e8e\u57fa\u7840\u7b56\u7565\u6a21\u578b\u751f\u6210\u53ef\u9a8c\u8bc1\u7684\u63a8\u7406\u94fe\u3002\u5728\u63a8\u7406\u94fe\u7684\u6bcf\u4e00\u6b65\uff0c\u90fd\u4f1a\u57fa\u4e8e\u8fd9\u4e00\u6b65\u7684\u6b63\u786e\u6027\u8d4b\u4e88\u4e00\u4e2a\u5c55\u5f00\u503c\uff0c\u901a\u8fc7\u8fd9\u4e9b\u7ecf\u8fc7\u9a8c\u8bc1\u7684\u8f68\u8ff9\u6765\u8bad\u7ec3\u7b56\u7565\u6a21\u578b\u548c\u8fc7\u7a0b\u5956\u52b1\u6a21\u578b\uff08PRM\uff09\u3002<\/p>\n

\u8fd9\u79cd\u641c\u7d22\u5bf9\u8ba1\u7b97\u8d44\u6e90\u7684\u4f9d\u8d56\u6781\u5c0f\uff0c\u901a\u8fc7\u7b56\u7565\u6a21\u578b\u6f14\u5316\u5f97\u5230\u7684\u6b63\u8d1f\u6837\u672c\u5747\u53ef\u4ee5\u4f5c\u4e3a MedS3 \u7684\u76d1\u7763\u4fe1\u53f7\uff0c\u5927\u5927\u589e\u52a0\u4e86\u6570\u636e\u5229\u7528\u7387\uff0c\u5e76\u4e14\u6309\u6b65\u91c7\u6837\u4e5f\u80fd\u63d0\u5347\u6a21\u578b\u7684\u63a2\u7d22\u7a7a\u95f4\u3002<\/p>\n

\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u7b56\u7565\u6a21\u578b\u4f1a\u751f\u6210\u591a\u4e2a\u56de\u7b54\uff0c\u800c\u5956\u52b1\u6a21\u578b\u5219\u901a\u8fc7\u65b0\u63d0\u51fa\u7684 PRM \u5f15\u5bfc\u7684\u6295\u7968\u6c42\u548c\uff08P-VS\uff09\u7b56\u7565\u6765\u9009\u62e9\u6700\u7ec8\u7b54\u6848\u3002<\/p>\n

\u8fd9\u79cd\u7b56\u7565\u4e0d\u4ec5\u8003\u8651\u4e86 PRM \u5bf9\u6bcf\u4e2a\u56de\u590d\u7684\u8bc4\u5224\u7ed3\u679c\uff0c\u4e5f\u8003\u8651\u4e86\u4e0d\u540c\u56de\u590d\u4e4b\u95f4\u7684\u8bed\u4e49\u4e00\u81f4\u6027\u3002\u8fd9\u79cd\u81ea\u6211\u8fdb\u5316\u7684\u65b9\u5f0f\uff0c\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u6a21\u578b\u7684\u6570\u636e\u6548\u7387\uff0c\u8fd8\u4f7f\u5176\u5728\u591a\u79cd\u4e34\u5e8a\u4efb\u52a1\u4e2d\u5c55\u73b0\u51fa\u4e86\u5353\u8d8a\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 1 MedS3 \u6846\u67b6\u7684\u6784\u5efa\u8fc7\u7a0b\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 2 PRM \u5f15\u5bfc\u7684\u6295\u7968\u6c42\u548c\u8ba1\u7b97\u793a\u4f8b\u3002<\/p>\n

MedS3 \u7684\u4f18\u52bf\u5728\u4e8e\uff1a<\/p>\n

    \n
  1. \n\u6570\u636e\u5229\u7528\u7387\u9ad8\uff1a<\/strong>\u4f7f\u7528\u81ea\u6211\u542f\u53d1\u5f0f\u641c\u7d22<\/mark>\uff0c\u6269\u5927\u4e86\u6570\u636e\u7684\u8868\u5f81\u8303\u56f4\u548c\u5229\u7528\u7387\u3002<\/li>\n
  2. \n\u652f\u6301\u5355\u6b65\u76d1\u7763\uff1a<\/strong>\u641c\u7d22\u4e2d\u7684\u8fdb\u5316\u5c55\u5f00\u503c\u53ef\u4ee5\u4e3a\u5355\u6b65\u63a8\u7406\u63d0\u4f9b\u76d1\u7763\uff0c\u4ece\u800c\u89c4\u5212<\/mark>\u6b63\u786e\u63a8\u7406\u8f68\u8ff9\u3002<\/li>\n
  3. \n\u9ad8\u6548\u652f\u6301\u591a\u4efb\u52a1\u5b66\u4e60<\/mark>\uff1a<\/strong>\u5bf9\u6bcf\u4e2a\u6570\u636e\u96c6\u91c7\u6837\u7ea6 500 \u6761\u6570\u636e\u5373\u53ef\u5b9e\u73b0\u591a\u4efb\u52a1\u540c\u65f6\u5b66\u4e60\u3002<\/li>\n<\/ol>\n

    <\/a><\/p>\n

    \u56fe 3 \u79cd\u5b50\u6570\u636e\u96c6\u4e2d\u5404\u4efb\u52a1\u53ca\u8bbe\u8ba1\u7684\u6570\u636e\u96c6\u3002<\/p>\n

    \u5b9e\u9a8c\u7ed3\u8bba<\/strong><\/p>\n

    MedS3 \u7684\u4efb\u52a1\u540c\u6837\u6db5\u76d6\u4e86\u6765\u81ea\u4e0d\u540c\u4efb\u52a1\u7684 11 \u4e2a\u6570\u636e\u96c6\uff0c\u6db5\u76d6\u4e86\u77e5\u8bc6\u95ee\u7b54\u3001\u751f\u7269\u533b\u5b66\u95ee\u7b54\u3001\u957f\u4e0a\u4e0b\u6587\u95ee\u7b54\u3001\u533b\u7597\u8bed\u4e49\u63a8\u7406\u4ee5\u53ca\u533b\u7597\u8bca\u65ad\u5f0f\u95ee\u7b54\u3002<\/p>\n

    \u5b9e\u9a8c 1\uff1a\u540c\u65f6\u9886\u5148\u533b\u7597\u5f00\u6e90\u6a21\u578b\u3001\u901a\u7528\u63a8\u7406\u6a21\u578b<\/strong><\/p>\n

    \u533b\u7597\u6a21\u578b\u7684\u6027\u80fd\u63d0\u5347\u666e\u904d\u8f83\u5c0f\uff0c\u6700\u5927\u63d0\u5347\u4ec5\u4e3a 6.48\uff08MMedS-Ins vs Llama3 8B\uff09\uff0c\u4e14\u591a\u6570\u6a21\u578b\u56e0\u4efb\u52a1\u8986\u76d6\u4e0d\u5168\uff0c\u96be\u4ee5\u8d85\u8d8a\u901a\u7528\u7684 Llama3 8B\u3002<\/p>\n

    \u901a\u7528\u57df\u5f3a\u5316\u63a8\u7406\u80fd\u529b\u7684\u5f00\u6e90\u6a21\u578b\u56e0\u7f3a\u4e4f\u533b\u7597\u77e5\u8bc6\uff0c\u6548\u679c\u53d7\u9650\uff0c\u6700\u4f73\u8868\u73b0 R1-Distill-Qwen32B \u4ec5\u63d0\u5347 4.36\u3002<\/p>\n

    \u76f8\u6bd4\u4e4b\u4e0b\uff0cMedS3 \u901a\u8fc7\u878d\u5408\u63a8\u7406\u80fd\u529b\u548c\u533b\u7597\u77e5\u8bc6\uff0c\u5e76\u91c7\u7528\u521b\u65b0\u7684 PRM \u5f15\u5bfc\u6295\u7968\u6c42\u548c\u65b9\u6cd5\uff0c\u76f8\u6bd4 Llama3 8B \u63d0\u5347\u4e86 13.07\uff0c\u663e\u8457\u8d85\u8d8a\u6240\u6709\u540c\u7b49\u89c4\u6a21\u7684\u5f00\u6e90\u6a21\u578b\uff0c\u5e76\u5728\u7efc\u5408\u6027\u80fd\u4e0a\u9886\u5148\u66f4\u5927\u89c4\u6a21\u7684\u6a21\u578b\u3002<\/p>\n

    <\/a><\/p>\n

    \u5b9e\u9a8c 2\uff1aP-VS \u9009\u62e9\u7b56\u7565\u9886\u5148\u4ee5\u5f80\u7684 PRM \u4f7f\u7528\u65b9\u6cd5<\/strong><\/p>\n

    \u4f20\u7edf Best-of-N\uff08BoN\uff09\u65b9\u6cd5\u4f9d\u8d56 PRM \u7b5b\u9009\u6700\u4f18\u56de\u590d\uff0c\u4f46 PRM \u5b58\u5728\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u6027\u548c\u8bad\u7ec3\/\u771f\u5b9e\u6807\u7b7e\u504f\u5dee\u95ee\u9898\u3002P-VS \u521b\u65b0\u6027\u878d\u5408\u8bed\u4e49\u4e00\u81f4\u6027\u6821\u9a8c\u4e0e PRM \u8bc4\u5206\uff0c\u7a81\u7834\u5355\u4e00\u4f9d\u8d56\u74f6\u9888\uff0c\u5b9e\u73b0 3.46 \u7684\u6027\u80fd\u8dc3\u5347\u3002<\/p>\n

    <\/a><\/p>\n

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