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

\u8bba\u6587\u5f15\u8a00<\/strong><\/p>\n\n\n\n

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

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\u5f88\u591a\u65b9\u6cd5\u4f9d\u8d56 Chain-of-Thought \u6216\u76d1\u7763\u5fae\u8c03\uff0c\u8ba9\u6a21\u578b\u751f\u6210\u770b\u4f3c\u5b8c\u6574\u7684\u63a8\u7406\u8fc7\u7a0b\u3002\u4f46\u5f53\u4efb\u52a1\u53d8\u590d\u6742\u65f6\uff0c\u8fd9\u4e9b\u63a8\u7406\u94fe\u5f88\u5bb9\u6613\u51fa\u73b0\u903b\u8f91\u8df3\u8dc3\u3001\u8bc1\u636e\u9519\u914d\u3001\u5197\u4f59\u63a8\u5bfc\uff0c\u751a\u81f3\u5e7b\u89c9\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u6a21\u578b\u53ef\u80fd\u201c\u8bb2\u5f97\u5f88\u987a\u201d\uff0c\u4f46\u4e2d\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\u5e76\u4e0d\u624e\u5b9e\u3002<\/p>\n\n\n\n

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Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization<\/p>\n\n\n\n

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\u4ece\u201c\u81ea\u7531\u63a8\u7406\u201d<\/strong>\u5230\u201c\u7ed3\u6784\u542f\u53d1\u7684\u63a8\u7406\u201d<\/strong><\/p>\n\n\n\n

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

\u8bba\u6587\u501f\u9274\u4e86 Structural Causal Model\uff0c\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff0c\u7b80\u79f0 SCM \u4e2d\u7684\u8868\u8fbe\u65b9\u5f0f\uff0c\u5c06\u591a\u8df3\u63a8\u7406\u8fc7\u7a0b\u7ec4\u7ec7\u6210\u4e00\u79cd\u7ed3\u6784\u5316\u8868\u793a\u3002\u8fd9\u91cc\u7684\u91cd\u70b9\u4e0d\u662f\u5ba3\u79f0\u6a21\u578b\u5b8c\u6574\u5b66\u4e60\u4e86\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u56e0\u679c\u673a\u5236\uff0c\u800c\u662f\u5229\u7528 SCM \u7684\u601d\u60f3\u6765\u542f\u53d1\u63a8\u7406\u94fe\u7684\u7ec4\u7ec7\u65b9\u5f0f\u3002<\/p>\n\n\n\n

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

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\u7528\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u7ed3\u6784\u5316\u63a8\u7406<\/strong><\/p>\n\n\n\n

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

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

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\u7ed3\u679c\u663e\u793a\uff0cSCM-GRPO \u5728\u591a\u4e2a\u8bbe\u7f6e\u4e0b\u8d85\u8fc7\u4e86 Direct Prediction\u3001ProgramFC\u3001RAG\u3001Decompose-Verify\u3001QACheck\u3001Search-o1 \u7b49\u57fa\u7ebf\u65b9\u6cd5\u3002<\/p>\n\n\n\n

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

\u5728\u4e3b\u5b9e\u9a8c\u4e2d\uff0cSCM-GRPO \u7684\u6574\u4f53\u5e73\u5747\u8868\u73b0\u8fbe\u5230 71.02%\u3002\u5176\u4e2d\uff0c\u5728 HoVer \u7684 2-hop\u30013-hop\u30014-hop \u8bbe\u7f6e\u4e0a\u5206\u522b\u8fbe\u5230 73.42%\u300163.15%\u300160.88%\uff1b\u5728 EX-FEVER \u7684 2-hop \u548c 3-hop \u8bbe\u7f6e\u4e0a\u5206\u522b\u8fbe\u5230 82.66%\u300175.00%\u3002<\/p>\n\n\n\n

\u66f4\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u8bba\u6587\u8fdb\u4e00\u6b65\u7684\u5b9e\u9a8c\u663e\u793a\uff0c\u5728 Qwen3-8B \u4f5c\u4e3a\u9aa8\u5e72\u6a21\u578b\u65f6\uff1aSFT \u57fa\u7ebf\u51c6\u786e\u7387\u4e3a 73.33%\uff1bSFT + CPO \u4e3a 71.91%\uff1bSFT + GRPO \u8fbe\u5230 75.42%\u3002\u8fd9\u8bf4\u660e\uff0c\u76f8\u6bd4\u4f20\u7edf\u504f\u597d\u4f18\u5316\u65b9\u6cd5\uff0cGRPO \u66f4\u9002\u5408\u7528\u4e8e\u8fd9\u79cd\u9700\u8981\u5e73\u8861\u7b54\u6848\u6b63\u786e\u6027\u3001\u63a8\u7406\u7ed3\u6784\u548c\u94fe\u8def\u957f\u5ea6\u7684\u591a\u8df3\u63a8\u7406\u573a\u666f\u3002<\/p>\n\n\n\n

\u66f4\u5c11\u7684\u5197\u4f59\u8def\u5f84\uff0c\u66f4\u9ad8\u7684\u8bc1\u636e\u5bc6\u5ea6<\/strong><\/p>\n\n\n\n

\u9664\u4e86\u51c6\u786e\u7387\uff0c\u8bba\u6587\u8fd8\u5728\u9644\u5f55\u4e2d\u5206\u6790\u4e86\u6a21\u578b\u751f\u6210\u63a8\u7406\u7ed3\u6784\u7684\u53d8\u5316\u3002\u5b9e\u9a8c\u53d1\u73b0\uff0c\u7ecf\u8fc7 SCM-GRPO \u4f18\u5316\u540e\uff0c\u6a21\u578b\u66f4\u503e\u5411\u4e8e\u56f4\u7ed5\u771f\u5b9e\u8bc1\u636e\u6784\u5efa\u63a8\u7406\uff0c\u800c\u4e0d\u662f\u4e0d\u65ad\u751f\u6210\u590d\u6742\u7684\u4e2d\u95f4\u53d8\u91cf\u548c\u5197\u4f59\u8def\u5f84\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff0c\u7ed3\u6784\u5206\u6790\u663e\u793a\uff0c\u4f18\u5316\u540e\u7684\u6a21\u578b\u663e\u8457\u63d0\u9ad8\u4e86\u5916\u751f\u53d8\u91cf\uff0c\u4e5f\u5c31\u662f\u8bc1\u636e\u8282\u70b9\u7684\u5360\u6bd4\uff1b\u540c\u65f6\u964d\u4f4e\u4e86\u56e0\u679c\u8def\u5f84\u7684\u590d\u6742\u5ea6\u3002\u9644\u5f55\u4e2d\u62a5\u544a\u7684\u7ed3\u679c\u8868\u660e\uff0cSCM-GRPO \u5bf9\u5e94\u6a21\u578b\u7684\u5916\u751f\u53d8\u91cf\u6bd4\u4f8b\u8fbe\u5230 88.7%\uff0c\u800c SFT \u6a21\u578b\u4ec5\u4e3a 48.6%\u3002\u5728\u56e0\u679c\u8def\u5f84\u6548\u7387\u4e0a\uff0cSCM-GRPO \u4e3a 0.29 paths\/variable\uff0cSFT \u4e3a 0.60 paths\/variable\u3002<\/p>\n\n\n\n

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

\u8fd9\u610f\u5473\u7740\uff0cSCM-GRPO \u5e76\u4e0d\u662f\u8ba9\u6a21\u578b\u201c\u60f3\u5f97\u66f4\u591a\u201d\uff0c\u800c\u662f\u8ba9\u6a21\u578b\u201c\u60f3\u5f97\u66f4\u51c6\u3001\u66f4\u77ed\u3001\u66f4\u6709\u4f9d\u636e\u201d\u3002<\/p>\n\n\n\n

\u8bba\u6587\u8fd8\u89c2\u5bdf\u5230\uff0cSFT \u6a21\u578b\u4e2d\u53d8\u91cf\u6570\u91cf\u4e0e\u56e0\u679c\u8def\u5f84\u6570\u91cf\u4e4b\u95f4\u5b58\u5728\u8f83\u5f3a\u76f8\u5173\u6027\uff0c\u76f8\u5173\u7cfb\u6570\u8fbe\u5230 0.85\uff0c\u8bf4\u660e\u4e00\u65e6\u6a21\u578b\u751f\u6210\u66f4\u591a\u53d8\u91cf\uff0c\u8def\u5f84\u590d\u6742\u5ea6\u4e5f\u4f1a\u5feb\u901f\u81a8\u80c0\u3002\u800c SCM-GRPO \u7684\u76f8\u5173\u7cfb\u6570\u964d\u81f3 0.16\uff0c\u8868\u660e\u5b83\u80fd\u591f\u66f4\u597d\u5730\u89e3\u8026\u201c\u8bc1\u636e\u6570\u91cf\u201d\u548c\u201c\u63a8\u7406\u8def\u5f84\u590d\u6742\u5ea6\u201d\u3002<\/p>\n\n\n\n

\u610f\u4e49<\/strong><\/p>\n\n\n\n

\u8fd9\u7bc7\u8bba\u6587\u7684\u4ef7\u503c\u4e0d\u53ea\u5728\u4e8e\u63d0\u5347\u4e86\u591a\u8df3\u4e8b\u5b9e\u6838\u67e5\u7684\u51c6\u786e\u7387\uff0c\u66f4\u91cd\u8981\u7684\u662f\u5b83\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u601d\u8def\uff1a<\/p>\n\n\n\n

\u7528\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u542f\u53d1\u7684\u8868\u793a\u65b9\u5f0f\uff0c\u7ea6\u675f\u548c\u4f18\u5316\u5927\u6a21\u578b\u7684\u591a\u8df3\u63a8\u7406\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

\u8fc7\u53bb\uff0c\u6211\u4eec\u7ecf\u5e38\u7528 Chain-of-Thought \u6765\u89c2\u5bdf\u6a21\u578b\u201c\u600e\u4e48\u60f3\u201d\u3002\u4f46 CoT \u672c\u8eab\u5e76\u4e0d\u4fdd\u8bc1\u903b\u8f91\u5173\u7cfb\u771f\u5b9e\u5b58\u5728\uff0c\u4e5f\u4e0d\u4fdd\u8bc1\u6bcf\u4e00\u6b65\u90fd\u6709\u8bc1\u636e\u652f\u6491\u3002<\/p>\n\n\n\n

SCM-GRPO \u5219\u8fdb\u4e00\u6b65\u8981\u6c42\u6a21\u578b\u660e\u786e\u8bf4\u660e\uff1a<\/p>\n\n\n\n

\u54ea\u4e9b\u4fe1\u606f\u6765\u81ea\u8bc1\u636e\uff1f<\/p>\n\n\n\n

\u54ea\u4e9b\u7ed3\u8bba\u662f\u63a8\u5bfc\u51fa\u6765\u7684\uff1f<\/p>\n\n\n\n

\u6bcf\u4e00\u6b65\u63a8\u5bfc\u4f9d\u8d56\u54ea\u4e9b\u524d\u7f6e\u4fe1\u606f\uff1f<\/p>\n\n\n\n

\u6700\u7ec8\u7ed3\u8bba\u5982\u4f55\u7531\u8fd9\u4e9b\u7ed3\u6784\u5316\u4f9d\u8d56\u652f\u6491\uff1f<\/p>\n\n\n\n

\u8fd9\u4f7f\u5f97\u63a8\u7406\u8fc7\u7a0b\u66f4\u5177\u53ef\u89e3\u91ca\u6027\uff0c\u4e5f\u66f4\u5bb9\u6613\u68c0\u67e5\u548c\u8c03\u8bd5\u3002<\/p>\n\n\n\n

\u5bf9\u4e8e\u9700\u8981\u9ad8\u53ef\u9760\u6027\u7684\u573a\u666f\uff0c\u6bd4\u5982\u4e8b\u5b9e\u6838\u67e5\u3001\u6cd5\u5f8b\u5206\u6790\u3001\u533b\u5b66\u8bc1\u636e\u7efc\u8ff0\u3001\u79d1\u7814\u95ee\u7b54\u548c\u590d\u6742\u4fe1\u606f\u68c0\u7d22\uff0c\u8fd9\u7c7b\u53d7\u7ed3\u6784\u56e0\u679c\u601d\u60f3\u542f\u53d1\u7684\u63a8\u7406\u65b9\u6cd5\u53ef\u80fd\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n\n\n\n

SCM-GRPO \u501f\u9274\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u7684\u601d\u60f3\uff0c\u4e3a\u591a\u8df3\u63a8\u7406\u5f15\u5165\u7ed3\u6784\u5316\u8868\u793a\uff0c\u5e76\u901a\u8fc7 GRPO \u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u63a8\u7406\u94fe\u7684\u6b63\u786e\u6027\u3001\u7ed3\u6784\u5408\u7406\u6027\u548c\u957f\u5ea6\uff0c\u4ece\u800c\u5728\u63d0\u5347\u51c6\u786e\u7387\u7684\u540c\u65f6\u51cf\u5c11\u5197\u4f59\u63a8\u7406\u548c\u5e7b\u89c9\u98ce\u9669\u3002<\/p>\n\n\n\n

\u5b83\u63d0\u9192\u6211\u4eec\uff1a\u672a\u6765\u7684\u5927\u6a21\u578b\u63a8\u7406\u80fd\u529b\uff0c\u4e0d\u5e94\u8be5\u53ea\u770b\u6a21\u578b\u662f\u5426\u80fd\u751f\u6210\u66f4\u957f\u7684\u89e3\u91ca\uff0c\u800c\u5e94\u8be5\u770b\u5b83\u662f\u5426\u80fd\u591f\u6784\u5efa\u66f4\u53ef\u9760\u3001\u66f4\u53ef\u9a8c\u8bc1\u3001\u66f4\u6709\u4f9d\u636e\u7684\u63a8\u7406\u7ed3\u6784\u3002<\/p>\n\n\n\n

\u4ece\u201c\u8bf4\u5f97\u50cf\u6709\u9053\u7406\u201d\uff0c\u5230\u201c\u6bcf\u4e00\u6b65\u90fd\u6709\u8bc1\u636e\u548c\u7ed3\u6784\u652f\u6491\u201d\uff0c\u8fd9\u6216\u8bb8\u662f\u5927\u6a21\u578b\u53ef\u9760\u63a8\u7406\u8d70\u5411\u5b9e\u7528\u5316\u7684\u91cd\u8981\u4e00\u6b65\u3002<\/p>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2605.01482<\/p>\n\n\n\n

\u7b2c\u4e00\u4f5c\u8005\uff1a\u6b65\u8d07\u6db5<\/strong><\/p>\n\n\n\n

$\"\u56fe\u7247\"$ <\/p>\n","protected":false},"excerpt":{"rendered":"