{"id":1096209,"date":"2024-10-22T19:14:00","date_gmt":"2024-10-23T02:14:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=1096209"},"modified":"2024-10-22T19:19:30","modified_gmt":"2024-10-23T02:19:30","slug":"cpl","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/cpl\/","title":{"rendered":"\u5982\u4f55\u6cdb\u5316AI\u7684\u6df1\u5ea6\u63a8\u7406\u80fd\u529b\uff1f"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u7cfb\u7edf\u667a\u80fd\u7ec4<\/em><\/p>\n\n\n\n

\u7f16\u8005\u6309\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u4e00\u76f4\u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u7814\u7a76\u70ed\u70b9\uff0c\u4f46\u4f20\u7edf\u4f9d\u8d56\u5927\u89c4\u6a21\u6570\u636e\u548c\u53c2\u6570\u6269\u5c55\u7684\u9884\u8bad\u7ec3\u65b9\u5f0f\u5728\u63d0\u5347\u6a21\u578b\u63a8\u7406\u80fd\u529b\u4e0a\u9010\u6e10\u9047\u5230\u4e86\u74f6\u9888\u3002\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u6700\u65b0\u7814\u7a76\u5173\u952e\u8ba1\u5212\u6b65\u9aa4\u5b66\u4e60 CPL\uff08Critical Plan Step Learning\uff09\uff0c\u65e8\u5728\u5c06\u5f3a\u5316\u5b66\u4e60\u6269\u5c55\u5230\u66f4\u5e7f\u6cdb\u3001\u66f4\u590d\u6742\u7684\u95ee\u9898\u573a\u666f\uff0c\u5e76\u53d6\u5f97\u4e86\u7a81\u7834\u6027\u8fdb\u5c55\u3002CPL \u901a\u8fc7\u5728\u81ea\u6211\u751f\u6210\u7684\u9ad8\u5c42\u6b21\u62bd\u8c61\u8ba1\u5212\u4e0a\u8fdb\u884c\u5f3a\u5316\u5b66\u4e60\uff0c\u4e0d\u4ec5\u63d0\u5347\u4e86\u6a21\u578b\u5728\u6570\u5b66\u63a8\u7406\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\uff0c\u8fd8\u5728\u591a\u4e2a\u8de8\u9886\u57df\u63a8\u7406\u4efb\u52a1\u4e0a\u5c55\u73b0\u51fa\u4e86\u5353\u8d8a\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n

\n\n\n\n

\u901a\u8fc7\u5927\u89c4\u6a21\u9884\u8bad\u7ec3\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u6570\u5b66\u63a8\u7406\u7b49\u4efb\u52a1\u4e2d\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u7136\u800c\uff0c\u4f20\u7edf\u4f9d\u8d56\u5927\u89c4\u6a21\u6570\u636e\u548c\u53c2\u6570\u8fdb\u884c\u6269\u5c55\u7684\u9884\u8bad\u7ec3\u65b9\u5f0f\u5728\u63d0\u5347\u6a21\u578b\u63a8\u7406\u80fd\u529b\u4e0a\u9762\u4e34\u7740\u65b0\u7684\u6311\u6218\u3002\u79d1\u7814\u4eba\u5458\u76f8\u4fe1 LLMs \u7684\u80fd\u529b\u4e0d\u6b62\u4e8e\u6b64\uff0c\u5728\u540e\u8bad\u7ec3\u9636\u6bb5\u5b66\u4e60\u4eba\u7c7b\u7684\u6162\u601d\u8003\uff0c\u7279\u522b\u662f\u901a\u8fc7\u5728\u81ea\u6211\u751f\u6210\u7684\u6570\u636e\u4e0a\u8fdb\u884c\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\uff08Reinforcement Learning, RL\uff09\u8bad\u7ec3\uff0c\u5bf9\u95ee\u9898\u8fdb\u884c\u5168\u9762\u7684\u5206\u6790\u548c\u63a8\u7406\u662f\u5b9e\u73b0 LLMs \u667a\u80fd\u7684\u5173\u952e\u3002\u8fd9\u79cd\u65b0\u7684\u5f3a\u5316\u5b66\u4e60\u8303\u5f0f\u5728\u590d\u6742\u4efb\u52a1\u4e0a\u7684\u63a8\u7406\u8868\u73b0\u53d6\u5f97\u4e86\u524d\u6240\u672a\u6709\u7684\u7a81\u7834\uff0c\u4e5f\u4e3a\u672a\u6765\u7684\u8d85\u7ea7\u667a\u80fd\u5960\u5b9a\u4e86\u6280\u672f\u57fa\u7840\u3002<\/p>\n\n\n\n

\u4f46\u60f3\u5c06\u5f3a\u5316\u5b66\u4e60\u6269\u5c55\u5230\u66f4\u5e7f\u6cdb\u3001\u66f4\u590d\u6742\u7684\u95ee\u9898\u573a\u666f\u4ecd\u9762\u4e34\u8bf8\u591a\u6311\u6218\u3002\u4f20\u7edf\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\uff0c\u7531\u4e8e\u5176\u7279\u5b9a\u7684\u52a8\u4f5c\u7a7a\u95f4\u9650\u5236\u4e86\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u56e0\u6b64\uff0c\u5982\u4f55\u5c06\u5f3a\u5316\u5b66\u4e60\u5bf9\u63a8\u7406\u80fd\u529b\u7684\u63d0\u5347\u6cdb\u5316\u5230\u66f4\u5e7f\u6cdb\u7684\u63a8\u7406\u4efb\u52a1\u4e1e\u5f85\u89e3\u51b3\u3002\u6b64\u5916\uff0c\u4e0e\u4f20\u7edf\u5f3a\u5316\u5b66\u4e60\u4e0d\u540c\uff0cLLMs \u7684\u590d\u6742\u95ee\u9898\u63a8\u7406\u6db5\u76d6\u4e86\u5de8\u5927\u7684\u641c\u7d22\u7a7a\u95f4\u3002\u8003\u8651\u5230 LLMs \u63a8\u7406\u7684\u9ad8\u6210\u672c\uff0c\u5982\u4f55\u5728\u5982\u6b64\u5e9e\u5927\u7684\u641c\u7d22\u7a7a\u95f4\u4e2d\u9ad8\u6548\u4e14\u6709\u6548\u5730\u627e\u5230\u6b63\u786e\u7684\u89e3\u51b3\u65b9\u6848\u4e5f\u662f\u4e00\u4e2a\u5173\u952e\u6311\u6218\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63a8\u51fa\u4e86\u5173\u952e\u8ba1\u5212\u6b65\u9aa4\u5b66\u4e60 CPL \uff08Critical Plan Step Learning\uff09\uff0c\u4f5c\u4e3a\u6269\u5c55\u5f3a\u5316\u5b66\u4e60\u4ee5\u5f00\u53d1\u901a\u7528\u63a8\u7406\u6a21\u578b\u7684\u91cd\u8981\u4e00\u6b65\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u8be5\u65b9\u6cd5\u63d0\u51fa\u4e86\u4e00\u79cd\u5728\u9ad8\u5c42\u6b21\u62bd\u8c61\u8ba1\u5212\u7684\u52a8\u4f5c\u7a7a\u95f4\u4e2d\u8fdb\u884c\u641c\u7d22\u7684\u65b0\u65b9\u6cd5\uff0c\u4ee5\u63d0\u5347\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u901a\u8fc7\u4f7f\u7528\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\uff08Monte Carlo Tree Search, MCTS\uff09\u63a2\u7d22\u591a\u6837\u5316\u7684\u8ba1\u5212\u6b65\u9aa4\uff0c\u5e76\u5f15\u5165\u6b65\u9aa4\u7ea7\u4f18\u52bf\u504f\u597d\u4f18\u5316\u7b97\u6cd5\uff08Step-level Advantage Preference Optimization, Step-APO\uff09\u6765\u5b66\u4e60\u89e3\u9898\u4e2d\u7684\u5173\u952e\u6b65\u9aa4\uff0cCPL \u5e2e\u52a9\u6a21\u578b\u805a\u7126\u4e8e\u63a8\u7406\u8fc7\u7a0b\u4e2d\u7684\u91cd\u8981\u51b3\u7b56\uff0c\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u548c\u6cdb\u5316\u6027\u3002<\/p>\n\n\n\n

CPL \u4e0d\u4ec5\u5728\u6570\u5b66\u63a8\u7406\u4efb\u52a1\u4e2d\u8868\u73b0\u7a81\u51fa\uff0c\u8fd8\u5728 HumanEval\u3001GPQA\u3001ARC-C \u7b49\u8de8\u9886\u57df\u63a8\u7406\u57fa\u51c6\u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u4f18\u5f02\u6210\u7ee9\uff0c\u4e3a\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u5347\u63a8\u7406\u80fd\u529b\u7684\u6cdb\u5316\u6027\u5f00\u8f9f\u4e86\u65b0\u7684\u65b9\u5411\u3002\u8fd9\u4e00\u5de5\u4f5c\u6210\u529f\u63d0\u9ad8\u4e86\u6a21\u578b\u5728\u591a\u79cd\u8de8\u9886\u57df\u4efb\u52a1\u4e2d\u7684\u8fc1\u79fb\u8868\u73b0\uff0c\u5e76\u4e3a\u672a\u6765\u5f3a\u5316\u5b66\u4e60\u6269\u5c55\u65b9\u5411\u7684\u7814\u7a76\u505a\u51fa\u4e86\u4e00\u5b9a\u7684\u8d21\u732e\u3002<\/p>\n\n\n\n

\"CPL
\u56fe1\uff1aCPL \u7ed3\u679c\u6982\u8ff0\uff1a\uff08a\uff09\u9886\u57df\u5185\u8868\u73b0\uff1b\uff08b\uff09\u9886\u57df\u5916\u8868\u73b0\u3002<\/figcaption><\/figure>\n\n\n\n

CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks<\/em><\/strong><\/p>\n\n\n\n

https:\/\/arxiv.org\/pdf\/2409.08642<\/em> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

\u5728\u62bd\u8c61\u8ba1\u5212\u4e2d\u5bfb\u627e\u63a8\u7406\u7684\u94a5\u5319<\/h2>\n\n\n\n

CPL \u7684\u6838\u5fc3\u7531\u4e24\u4e2a\u5173\u952e\u6b65\u9aa4\u7ec4\u6210\u2014\u2014\u8ba1\u5212\u641c\u7d22\u548c\u5173\u952e\u8ba1\u5212\u6b65\u9aa4\u5b66\u4e60\u3002\u8fd9\u4e9b\u65b9\u6cd5\u65e8\u5728\u6709\u6548\u63d0\u5347\u6a21\u578b\u5728\u591a\u6b65\u63a8\u7406\u4efb\u52a1\u4e2d\u7684\u63a8\u7406\u80fd\u529b\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n

\"CPL
\u56fe2\uff1aCPL \u793a\u610f\u56fe\u3002\u5de6\u4fa7\u5c55\u793a\u4e86\u62bd\u8c61\u601d\u7ef4\u7684\u8ba1\u5212\u6709\u52a9\u4e8e\u8de8\u4efb\u52a1\u7684\u6cdb\u5316\uff0c\u53f3\u4fa7\u5c55\u793a\u4e86 CPL \u901a\u8fc7 MCTS \u5728\u9ad8\u5c42\u62bd\u8c61\u8ba1\u5212\u4e2d\u641c\u7d22\u3001\u8bc6\u522b\u5e76\u5b66\u4e60\u5173\u952e\u6b65\u9aa4\u3002<\/figcaption><\/figure>\n\n\n\n

\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u57fa\u4e8e\u8ba1\u5212\u7684 MCTS\uff08Plan-based MCTS\uff09\uff0c\u4e3b\u8981\u5728\u9ad8\u5c42\u6b21\u62bd\u8c61\u8ba1\u5212\u7684\u641c\u7d22\u4e2d\u5e2e\u52a9 LLMs \u63a2\u7d22\u591a\u6837\u5316\u7684\u89e3\u9898\u7b56\u7565\uff0c\u4ee5\u5e94\u5bf9\u5e7f\u9614\u7684\u641c\u7d22\u7a7a\u95f4\u3002\u4e0d\u540c\u4e8e\u4f20\u7edf\u65b9\u6cd5\u53ea\u4e13\u6ce8\u4e8e\u5177\u4f53\u6267\u884c\u6b65\u9aa4\u7684\u63a2\u7d22\uff0cCPL \u8fd8\u5f3a\u8c03\u89e3\u51b3\u95ee\u9898\u7684\u6574\u4f53\u601d\u8def\u548c\u7b56\u7565\u63a2\u7d22\uff0c\u4ece\u800c\u5e2e\u52a9\u5176\u5b66\u4e60\u66f4\u901a\u7528\u7684\u4efb\u52a1\u65e0\u5173\u6280\u80fd\uff0c\u663e\u8457\u63d0\u5347\u6a21\u578b\u5728\u5404\u79cd\u63a8\u7406\u4efb\u52a1\u4e2d\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5177\u4f53\u6765\u8bf4\uff0cCPL \u901a\u8fc7\u9010\u6b65\u521b\u5efa\u89e3\u51b3\u95ee\u9898\u7684\u8ba1\u5212\uff0c\u5e76\u6700\u7ec8\u7ed9\u51fa\u5b8c\u6574\u7684\u89e3\u7b54\uff1bMCTS \u8fed\u4ee3\u6784\u5efa\u51fa\u8ba1\u5212\u6811\uff0c\u5e76\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u8ba1\u5212\u6b65\u9aa4\u76d1\u7763\u4fe1\u53f7\u3002\u6b64\u5916\u5728 MCTS \u4e2d\uff0c\u7814\u7a76\u5458\u4eec\u4f1a\u4f7f\u7528\u4ef7\u503c\u6a21\u578b\u6765\u8bc4\u4f30\u6bcf\u4e2a\u90e8\u5206\u63a8\u7406\u8def\u5f84\u7684\u9884\u671f\u56de\u62a5\uff0c\u8fd9\u4f7f\u5f97\u6a21\u578b\u5728\u9762\u5bf9\u590d\u6742\u63a8\u7406\u4efb\u52a1\u65f6\u80fd\u591f\u6709\u6548\u9009\u62e9\u6700\u4f18\u8def\u5f84\uff0c\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u65e0\u6548\u641c\u7d22\u7684\u5f71\u54cd\u3002<\/p>\n\n\n\n

\u6b65\u9aa4\u7ea7\u4f18\u52bf\u504f\u597d\u4f18\u5316\uff08Step-APO\uff09\u662f CPL \u7684\u7b2c\u4e8c\u4e2a\u5173\u952e\u7ec4\u6210\u90e8\u5206\uff0c\u65e8\u5728\u5b66\u4e60\u548c\u5f3a\u5316\u63a8\u7406\u8fc7\u7a0b\u4e2d\u7684\u5173\u952e\u6b65\u9aa4\u3002Step-APO \u5efa\u7acb\u5728\u76f4\u63a5\u504f\u597d\u4f18\u5316\uff08Direct Preference Optimization, DPO\uff09\u7684\u57fa\u7840\u4e4b\u4e0a\uff0c\u8fdb\u4e00\u6b65\u7ed3\u5408\u4e86 MCTS \u4e2d\u83b7\u5f97\u7684\u6b65\u9aa4\u7ea7\u4f18\u52bf\u4f30\u8ba1\uff0c\u7528\u4e8e\u66f4\u7cbe\u7ec6\u5730\u6bd4\u8f83\u4e0d\u540c\u6b65\u9aa4\u4e4b\u95f4\u7684\u504f\u597d\u3002\u4f20\u7edf\u7684\u504f\u597d\u5b66\u4e60\u65b9\u6cd5\u901a\u5e38\u901a\u8fc7\u6807\u8bb0\u7b2c\u4e00\u4e2a\u9519\u8bef\u6b65\u9aa4\u4e3a\u4e0d\u4f18\u6765\u6307\u5bfc\u6a21\u578b\uff0c\u4f46\u8fd9\u79cd\u542f\u53d1\u5f0f\u65b9\u6cd5\u9650\u5236\u4e86\u6a21\u578b\u5bf9\u81ea\u751f\u6210\u6570\u636e\u7684\u5145\u5206\u5229\u7528\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cStep-APO \u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u63a8\u7406\u6b65\u9aa4\u8ba1\u7b97\u5176\u76f8\u5bf9\u4e8e\u540c\u5c42\u5176\u4ed6\u6b65\u9aa4\u7684\u201c\u4f18\u52bf\u503c\u201d\uff0c\u4ece\u800c\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u8bc6\u522b\u51fa\u5bf9\u6700\u7ec8\u63a8\u7406\u7ed3\u679c\u81f3\u5173\u91cd\u8981\u7684\u6b65\u9aa4\uff0c\u5e76\u8d4b\u4e88\u8fd9\u4e9b\u5173\u952e\u6b65\u9aa4\u66f4\u9ad8\u7684\u4f18\u5316\u6743\u91cd\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6a21\u578b\u80fd\u591f\u66f4\u597d\u5730\u8bc6\u522b\u5e76\u5f3a\u5316\u5173\u952e\u6b65\u9aa4\uff0c\u5b9e\u73b0\u66f4\u9ad8\u6548\u7684\u8ba1\u5212\u4f18\u5316\u4e0e\u6cdb\u5316\u3002<\/p>\n\n\n\n

\u7ed3\u5408\u8ba1\u5212\u641c\u7d22\u4e0e\u5173\u952e\u6b65\u9aa4\u5b66\u4e60\u8ba9 CPL \u6709\u6548\u5b9e\u73b0\u4e86\u6a21\u578b\u63a8\u7406\u80fd\u529b\u7684\u5168\u9762\u63d0\u5347\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5373\u4fbf\u53ea\u5728 GSM8K \u548c MATH \u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0cCPL \u4f9d\u7136\u5728\u591a\u4e2a\u8de8\u9886\u57df\u63a8\u7406\u4efb\u52a1\u4e2d\u53d6\u5f97\u4e86\u660e\u663e\u7684\u6027\u80fd\u63d0\u5347\uff0c\u4f8b\u5982 HumanEval\u3001GPQA \u548c ARC-C \u7b49\u8de8\u9886\u57df\u57fa\u51c6\u4efb\u52a1\uff0c\u5145\u5206\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\u5728\u5927\u6a21\u578b\u63a8\u7406\u4e0e\u6cdb\u5316\u65b9\u9762\u7684\u663e\u8457\u4f18\u52bf\u3002<\/p>\n\n\n\n

CPL\u7684\u5b9e\u9a8c\u6027\u80fd<\/h2>\n\n\n\n

\u7814\u7a76\u5458\u4eec\u5728\u591a\u4e2a\u63a8\u7406\u57fa\u51c6\u4e0a\u5bf9 CPL \u65b9\u6cd5\u8fdb\u884c\u4e86\u8be6\u5c3d\u7684\u5b9e\u9a8c\u8bc4\u4f30\uff0c\u4ee5\u9a8c\u8bc1\u5176\u5728\u63a8\u7406\u80fd\u529b\u548c\u6cdb\u5316\u6027\u4e0a\u7684\u8868\u73b0\u3002\u6574\u4e2a\u5b9e\u9a8c\u8bc4\u4f30\u4ece\u4ee5\u4e0b\u4e09\u4e2a\u65b9\u9762\u5c55\u5f00\uff1a\u57df\u5185\u63a8\u7406\u4efb\u52a1\u7684\u8868\u73b0\u3001\u8de8\u9886\u57df\u63a8\u7406\u4efb\u52a1\u7684\u6cdb\u5316\u6027\uff0c\u4ee5\u53ca\u4e0d\u540c\u4f18\u5316\u7b56\u7565\u7684\u6548\u679c\u3002<\/p>\n\n\n\n

\"table\uff0c\u9886\u57df\u5185\u548c\u9886\u57df\u5916\u63a8\u7406\u4efb\u52a1\u7684\u4e3b\u8981\u7ed3\u679c\"
\u88681\uff1a\u9886\u57df\u5185\u548c\u9886\u57df\u5916\u63a8\u7406\u4efb\u52a1\u7684\u4e3b\u8981\u7ed3\u679c<\/figcaption><\/figure>\n\n\n\n

\u9996\u5148\uff0c\u7814\u7a76\u5458\u4eec\u5728\u6570\u5b66\u63a8\u7406\u4efb\u52a1 MATH \u548c GSM8K \u6570\u636e\u96c6\u4e0a\u8bc4\u4f30\u4e86 CPL \u5728\u57df\u5185\u63a8\u7406\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002MATH \u6570\u636e\u96c6\u5305\u542b5000\u4e2a\u590d\u6742\u7684\u7ade\u8d5b\u7ea7\u95ee\u9898\uff0c\u65e8\u5728\u8bc4\u4f30\u6a21\u578b\u5bf9\u9ad8\u96be\u5ea6\u6570\u5b66\u63a8\u7406\u7684\u80fd\u529b\uff0c\u800c GSM8K \u6570\u636e\u96c6\u5219\u5305\u542b1320\u9053\u5c0f\u5b66\u6570\u5b66\u9898\u76ee\uff0c\u7528\u4ee5\u6d4b\u8bd5\u57fa\u7840\u7b97\u672f\u548c\u63a8\u7406\u6280\u80fd\u3002\u4e0e\u57fa\u51c6\u6a21\u578b DeepSeekMath-Base \u76f8\u6bd4\uff0cCPL \u5728\u8fd9\u4e24\u4e2a\u6570\u636e\u96c6\u4e0a\u5747\u5c55\u793a\u4e86\u663e\u8457\u7684\u6027\u80fd\u63d0\u5347\u3002\u5728 MATH \u6570\u636e\u96c6\u4e0a\uff0cCPL \u6700\u7ec8\u53d6\u5f97\u4e8641.64%\u7684\u51c6\u786e\u7387\uff0c\u76f8\u8f83\u4e8e\u57fa\u51c6\u63d0\u5347\u4e866.5%\uff1b\u5728 GSM8K \u4e0a\uff0cCPL \u7684\u51c6\u786e\u7387\u8fbe\u5230\u4e8673.77%\uff0c\u6bd4\u57fa\u51c6\u63d0\u5347\u4e8610.5%\u3002\u8fd9\u8868\u660e CPL \u901a\u8fc7\u9ad8\u5c42\u6b21\u8ba1\u5212\u7684\u5b66\u4e60\u548c\u5173\u952e\u6b65\u9aa4\u4f18\u5316\uff0c\u6709\u6548\u589e\u5f3a\u4e86\u6a21\u578b\u5728\u6570\u5b66\u63a8\u7406\u65b9\u9762\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n

\u5176\u6b21\uff0c\u7814\u7a76\u5458\u4eec\u91cd\u70b9\u8bc4\u4f30\u4e86 CPL \u5728\u4e94\u4e2a\u8de8\u9886\u57df\u63a8\u7406\u4efb\u52a1\u4e0a\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u5206\u522b\u662f HumanEval\u3001ARC-C\u3001GPQA\u3001BBH \u548c MMLU-STEM\u3002\u8fd9\u4e9b\u4efb\u52a1\u6db5\u76d6\u4ee3\u7801\u751f\u6210\u3001\u79d1\u5b66\u77e5\u8bc6\u95ee\u7b54\u3001\u751f\u7269\u4e0e\u5316\u5b66\u9886\u57df\u7684\u590d\u6742\u63a8\u7406\u7b49\uff0c\u65e8\u5728\u9a8c\u8bc1 CPL \u5728\u5e94\u5bf9\u4e0d\u540c\u9886\u57df\u63a8\u7406\u4efb\u52a1\u65f6\u7684\u9002\u5e94\u6027\u3002\u7ed3\u679c\u8868\u660e\uff0c\u76f8\u8f83\u4e8e\u5b66\u4e60\u7279\u5b9a\u4efb\u52a1\u89e3\u51b3\u65b9\u6848\u7684\u6a21\u578b\u5728\u8de8\u9886\u57df\u63a8\u7406\u4efb\u52a1\u4e0a\u8868\u73b0\u4e0d\u4f73\uff08\u5982 AlphaMath \u5728 BBH \u4efb\u52a1\u4e0a\u51fa\u73b0\u4e862.2%\u7684\u6027\u80fd\u4e0b\u964d\uff09\uff0cCPL \u6781\u5927\u63d0\u5347\u4e86\u8de8\u9886\u57df\u63a8\u7406\u4efb\u52a1\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u5728\u4ee3\u7801\u751f\u6210\u7684 HumanEval \u4efb\u52a1\u4e2d\uff0cCPL \u76f8\u6bd4\u57fa\u51c6\u63d0\u5347\u4e8612.2%\uff1b\u5728\u79d1\u5b66\u95ee\u7b54\u7684 GPQA \u4e0a\uff0cCPL \u7684\u8868\u73b0\u63d0\u5347\u4e868.6%\uff1b\u5728 ARC-C \u548c BBH \u7b49\u4efb\u52a1\u4e2d\uff0cCPL \u4e5f\u5c55\u73b0\u4e86\u4f18\u4e8e\u57fa\u51c6\u6a21\u578b\u7684\u8868\u73b0\u3002\u5bf9\u6bd4\u57fa\u4e8e\u6267\u884c\u6b65\u9aa4\u7684\u641c\u7d22\u65b9\u6cd5\u5982 AlphaMath \u548c Self-Explore\uff0cCPL \u901a\u8fc7\u9ad8\u5c42\u6b21\u8ba1\u5212\u7684\u63a2\u7d22\u4e0e\u5b66\u4e60\uff0c\u663e\u8457\u589e\u5f3a\u4e86\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u4f7f\u5176\u5728\u9762\u5bf9\u4e0d\u540c\u7c7b\u578b\u7684\u63a8\u7406\u4efb\u52a1\u65f6\u8868\u73b0\u5f97\u66f4\u52a0\u7a33\u5b9a\u548c\u4f18\u8d8a\u3002<\/p>\n\n\n\n

\u6700\u540e\uff0c\u7814\u7a76\u5458\u4eec\u5bf9\u6bd4\u4e86\u4e0d\u540c\u4f18\u5316\u7b56\u7565\u7684\u6548\u679c\uff0c\u5305\u62ec\u4f20\u7edf\u7684\u5b9e\u4f8b\u7ea7 DPO\uff08Instance-DPO\uff09\u3001\u6b65\u9aa4\u7ea7 DPO\uff08Step-DPO\uff09\u548c CPL \u6240\u4f7f\u7528\u7684\u6b65\u9aa4\u7ea7\u4f18\u52bf\u504f\u597d\u4f18\u5316\uff08Step-APO\uff09\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cStep-DPO \u76f8\u8f83\u4e8e Instance-DPO \u5728\u90e8\u5206\u4efb\u52a1\u4e0a\u6709\u5c0f\u5e45\u5ea6\u7684\u6027\u80fd\u63d0\u5347\uff0c\u800c CPL \u7684 Step-APO \u901a\u8fc7\u66f4\u7cbe\u7ec6\u7684\u5173\u952e\u6b65\u9aa4\u5b66\u4e60\u5927\u5927\u63d0\u5347\u4e86\u6a21\u578b\u7684\u63a8\u7406\u6027\u80fd\u3002\u5728\u8de8\u9886\u57df\u4efb\u52a1\u4e2d\uff0cStep-APO \u7684\u4f18\u5316\u6548\u679c\u5c24\u4e3a\u660e\u663e\u3002\u8fd9\u8bf4\u660e\u901a\u8fc7\u6709\u6548\u8bc6\u522b\u548c\u5b66\u4e60\u63a8\u7406\u4e2d\u7684\u5173\u952e\u6b65\u9aa4\uff0cCPL \u80fd\u591f\u663e\u8457\u589e\u5f3a\u6a21\u578b\u7684\u6cdb\u5316\u6027\u548c\u63a8\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n

\"table,
\u88682\uff1aStep-APO \u7684\u4f18\u52bf<\/figcaption><\/figure>\n\n\n\n

\u6784\u5efa\u66f4\u667a\u80fd\u7684\u901a\u7528\u63a8\u7406\u6a21\u578b<\/h2>\n\n\n\n

\u6269\u5c55\u5f3a\u5316\u5b66\u4e60\uff08Scaling RL\uff09\u4ee5\u5f00\u53d1\u4e00\u4e2a\u901a\u7528\u7684\u63a8\u7406\u6a21\u578b\u4f9d\u7136\u662f\u4e00\u4e2a\u5f00\u653e\u4e14\u91cd\u8981\u7684\u7814\u7a76\u8bfe\u9898\u3002\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u7684 CPL \u5229\u7528\u9ad8\u5c42\u6b21\u62bd\u8c61\u8ba1\u5212\u7684\u641c\u7d22\u4ee5\u53ca\u5173\u952e\u6b65\u9aa4\u7684\u4f18\u52bf\u504f\u597d\u4f18\u5316\uff0c\u589e\u5f3a\u4e86 LLMs \u5728\u63a8\u7406\u4efb\u52a1\u4e0a\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n

\u672a\u6765\uff0c\u7814\u7a76\u5458\u4eec\u5c06\u589e\u52a0\u8ba1\u5212\u7b56\u7565\u591a\u6837\u6027\uff0c\u5e76\u4e14\u7ed3\u5408\u6d4b\u8bd5\u65f6\u641c\u7d22\uff08test-time search\uff09\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u7684\u6574\u4f53\u63a8\u7406\u6548\u679c\u3002\u7814\u7a76\u5458\u4eec\u4e5f\u5c06\u7ee7\u7eed\u63a2\u7d22\u5982\u4f55\u6709\u6548\u5b66\u4e60\u63a8\u7406\u4e2d\u7684\u5173\u952e\u6b65\u9aa4\uff0c\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u6548\u7684\u641c\u7d22\uff0c\u4e3a\u6784\u5efa\u66f4\u52a0\u667a\u80fd\u5316\u3001\u5177\u5907\u901a\u7528\u63a8\u7406\u80fd\u529b\u7684\u8bed\u8a00\u6a21\u578b\u5960\u5b9a\u575a\u5b9e\u57fa\u7840\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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\u4f46\u60f3\u5c06\u5f3a\u5316\u5b66\u4e60\u6269\u5c55\u5230\u66f4\u5e7f\u6cdb\u3001\u66f4\u590d\u6742\u7684\u95ee\u9898\u573a\u666f\u4ecd\u9762\u4e34\u8bf8\u591a\u6311\u6218\u3002\u4f20\u7edf\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\uff0c\u7531\u4e8e\u5176\u7279\u5b9a\u7684\u52a8\u4f5c\u7a7a\u95f4\u9650\u5236\u4e86\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u56e0\u6b64\uff0c\u5982\u4f55\u5c06\u5f3a\u5316\u5b66\u4e60\u5bf9\u63a8\u7406\u80fd\u529b\u7684\u63d0\u5347\u6cdb\u5316\u5230\u66f4\u5e7f\u6cdb\u7684\u63a8\u7406\u4efb\u52a1\u4e1e\u5f85\u89e3\u51b3\u3002\u6b64\u5916\uff0c\u4e0e\u4f20\u7edf\u5f3a\u5316\u5b66\u4e60\u4e0d\u540c\uff0cLLMs \u7684\u590d\u6742\u95ee\u9898\u63a8\u7406\u6db5\u76d6\u4e86\u5de8\u5927\u7684\u641c\u7d22\u7a7a\u95f4\u3002\u8003\u8651\u5230 LLMs 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