{"id":39212,"date":"2025-03-05T05:01:38","date_gmt":"2025-03-04T21:01:38","guid":{"rendered":"https:\/\/17aitech.com\/?p=39212"},"modified":"2025-03-05T05:01:38","modified_gmt":"2025-03-04T21:01:38","slug":"revolve%ef%bc%9a%e5%93%8d%e5%ba%94%e6%bc%94%e5%8c%96%e9%a9%b1%e5%8a%a8%e7%9a%84%e6%99%ba%e8%83%bd%e4%bc%98%e5%8c%96%e6%a1%86%e6%9e%b6%ef%bc%8c%e7%a0%b4%e8%a7%a3%e4%bc%a0%e7%bb%9fai%e4%bc%98%e5%8c%96","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39212","title":{"rendered":"REVOLVE\uff1a\u54cd\u5e94\u6f14\u5316\u9a71\u52a8\u7684\u667a\u80fd\u4f18\u5316\u6846\u67b6\uff0c\u7834\u89e3\u4f20\u7edfAI\u4f18\u5316\u74f6\u9888"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:REVOLVE\uff1a\u54cd\u5e94\u6f14\u5316\u9a71\u52a8\u7684\u667a\u80fd\u4f18\u5316\u6846\u67b6\uff0c\u7834\u89e3\u4f20\u7edfAI\u4f18\u5316\u74f6\u9888<\/a><\/p>\n

iDreamer <\/strong>\u81f4\u529b\u4e8e\u6253\u9020\u4e00\u4e2a\u6fc0\u53d1\u79d1\u7814\u70ed\u60c5\u7684\u5168\u7403\u4e2d\u5fc3\u3002\u6211\u4eec\u5e2e\u52a9\u6559\u6388\u5c06\u613f\u666f\u53d8\u4e3a\u73b0\u5b9e\uff0c\u4e3a\u5b66\u751f\u7167\u4eae\u5851\u9020\u672a\u6765\u7684\u9053\u8def<\/strong>\u3002<\/strong><\/p>\n

\u5728\u8fd9\u91cc\uff0c\u6ca1\u6709\u8d44\u6e90\u7684\u58c1\u5792\uff0c\u6ca1\u6709\u601d\u60f3\u7684\u754c\u9650\uff0c\u53ea\u6709\u56e2\u7ed3\u4e00\u5fc3\u8ffd\u6c42\u5353\u8d8a\u3002\u6211\u4eec\u76f8\u4fe1\uff0c\u771f\u6b63\u7684\u7814\u7a76\u5e94\u8be5\u5c5e\u4e8e\u6bcf\u4e00\u4e2a\u6709\u624d\u534e\u3001\u6709\u68a6\u60f3\u7684\u4eba\u3002\u901a\u8fc7\u6574\u5408\u5168\u7403\u8d44\u6e90\u3001\u4f18\u5316\u534f\u4f5c\uff0c\u6211\u4eec\u786e\u4fdd\u6bcf\u4e00\u4f4d\u79d1\u7814\u4eba\u5458\u5728\u8fd9\u91cc\u90fd\u80fd\u627e\u5230\u81ea\u5df1\u7406\u60f3\u7684\u4f19\u4f34\u548c\u65b9\u5411<\/strong>\u3002<\/strong><\/p>\n

\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\uff08Generative AI\uff09\u6b63\u5728\u9010\u6e10\u4ece\u5355\u4e00\u6a21\u578b\u8bad\u7ec3\u7684\u9636\u6bb5\uff0c\u8fc7\u6e21\u5230\u66f4\u52a0\u590d\u6742\u7684\u7cfb\u7edf\u4f18\u5316\u65f6\u4ee3\u3002\u968f\u7740\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u53ca\u5176\u76f8\u5173\u7ec4\u4ef6\u5728\u591a\u79cd\u4efb\u52a1\u4e2d\u7684\u5e7f\u6cdb\u5e94\u7528\uff0c\u5982\u4f55\u9ad8\u6548\u5730\u534f\u8c03\u5e76\u4f18\u5316\u8fd9\u4e9b\u7ec4\u4ef6\u7684\u8868\u73b0\uff0c\u5df2\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u91cd\u8981\u8bfe\u9898\u3002\u8fd1\u5e74\u6765\uff0c\u9488\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u81ea\u52a8\u5316\u4f18\u5316\u6846\u67b6\u7684\u7814\u7a76\u9010\u6b65\u589e\u591a\u3002\u7136\u800c\uff0c\u4f20\u7edf\u4f18\u5316\u65b9\u6cd5\u5f80\u5f80\u5c40\u9650\u4e8e\u5373\u65f6\u53cd\u9988\u548c\u5c40\u90e8\u8c03\u6574\uff0c\u96be\u4ee5\u6709\u6548\u5e94\u5bf9\u591a\u8f6e\u63a8\u7406\u548c\u590d\u6742\u4efb\u52a1\u4e2d\u9010\u6b65\u6f14\u5316\u7684\u9700\u6c42\u3002<\/p>\n

REVOLVE\u4f5c\u4e3a\u4e00\u79cd\u65b0\u7684\u4f18\u5316\u6846\u67b6\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u4e0d\u540c\u7684\u601d\u8def\u3002\u901a\u8fc7\u5f15\u5165\u5386\u53f2\u54cd\u5e94\u76f8\u4f3c\u5ea6\u7684\u6982\u5ff5\uff0cREVOLVE\u4e0d\u4ec5\u4f18\u5316\u5f53\u524d\u7684\u8f93\u51fa\uff0c\u8fd8\u80fd\u5728\u591a\u8f6e\u8fed\u4ee3\u4e2d\u5f15\u5bfc\u6a21\u578b\u5b9e\u73b0\u6301\u7eed\u6539\u8fdb\u3002\u4e0e\u4f20\u7edf\u65b9\u6cd5\u4f9d\u8d56\u5373\u65f6\u53cd\u9988\u4e0d\u540c\uff0cREVOLVE\u901a\u8fc7\u6355\u6349\u54cd\u5e94\u6f14\u5316\u7684\u8d8b\u52bf\uff0c\u63a8\u52a8\u4f18\u5316\u8fc7\u7a0b\u66f4\u52a0\u7a33\u5b9a\u4e14\u7ec6\u81f4\uff0c\u5e2e\u52a9\u6a21\u578b\u9010\u6b65\u7a81\u7834\u5c40\u90e8\u6700\u4f18\uff0c\u63d0\u5347\u6574\u4f53\u6027\u80fd\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0cREVOLVE\u4e3a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4f18\u5316\u63d0\u4f9b\u4e86\u65b0\u7684\u89c6\u89d2\uff0c\u5e76\u4e3aAI\u7cfb\u7edf\u7684\u957f\u671f\u8fdb\u5316\u548c\u81ea\u6211\u4fee\u6b63\u6253\u5f00\u4e86\u6f5c\u5728\u7684\u65b9\u5411\u3002\u672c\u6587\u5c06\u4ecb\u7ecdREVOLVE\u7684\u6838\u5fc3\u6982\u5ff5\u3001\u521b\u65b0\u673a\u5236\uff0c\u5e76\u63a2\u8ba8\u5176\u5728\u89e3\u51b3\u65b9\u6848\u4f18\u5316\u3001\u63d0\u793a\u4f18\u5316\u548c\u4ee3\u7801\u4f18\u5316\u7b49\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\uff0c\u5206\u6790\u5176\u5728\u591a\u79cd\u573a\u666f\u4e2d\u7684\u5b9e\u9645\u6548\u679c\u3002<\/p>\n

\u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/llm-revolve.netlify.app\/<\/u><\/a><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2412.03092<\/u><\/a><\/p>\n

\u4ee3\u7801\u4ed3\u5e93\uff1ahttps:\/\/github.com\/Peiyance\/REVOLVE<\/u><\/a><\/p>\n

\u73b0\u6709\u4f18\u5316\u65b9\u6cd5<\/strong><\/p>\n

\u76ee\u524d\uff0c\u8bb8\u591a\u73b0\u6709\u7684AI\u4f18\u5316\u65b9\u6cd5\u53ef\u5206\u4e3a\u4e09\u7c7b\uff1a<\/a><\/p>\n

Chain-of-thought\uff08CoT\uff09\u65b9\u6cd5<\/p>\n

CoT\u63a8\u7406\u65b9\u6cd5\u4f9d\u8d56\u4e00\u6b21\u6027\u63a8\u7406\u548c\u9010\u6b65\u601d\u8003\u6765\u89e3\u51b3\u4efb\u52a1\uff0c\u867d\u7136\u5b83\u901a\u8fc7\u9010\u6b65\u63a8\u7406\u5e2e\u52a9\u6a21\u578b\u5728\u5355\u6b21\u63a8\u7406\u8fc7\u7a0b\u4e2d\u63d0\u4f9b\u8f83\u4e3a\u6e05\u6670\u7684\u6b65\u9aa4\uff0c\u4f46\u7531\u4e8e\u7f3a\u4e4f\u8fed\u4ee3\u4f18\u5316\u548c\u5386\u53f2\u54cd\u5e94\u7684\u6574\u5408\uff0c\u8fd9\u79cd\u65b9\u6cd5\u65e0\u6cd5\u4ece\u4efb\u52a1\u7684\u957f\u671f\u6f14\u5316\u4e2d\u6c72\u53d6\u7ecf\u9a8c\u3002\u56e0\u6b64\uff0cCoT\u65e0\u6cd5\u5e94\u5bf9\u9700\u8981\u7ec6\u81f4\u8c03\u6574\u548c\u9010\u6b65\u6539\u8fdb\u7684\u590d\u6742\u4efb\u52a1\uff0c\u4e5f\u4e0d\u80fd\u901a\u8fc7\u8fed\u4ee3\u4f18\u5316\u9010\u6b65\u63d0\u5347\u51c6\u786e\u6027\uff0c\u5728\u590d\u6742\u4efb\u52a1\u4e2d\u5f80\u5f80\u96be\u4ee5\u6709\u6548\u63d0\u5347\u6027\u80fd\u3002<\/p>\n

\u57fa\u4e8e\u641c\u7d22\u7684\u65b9\u6cd5\uff08Search-Based Methods\uff09<\/p>\n

PromptAgent\u3001Boosting-of-Thought\u7b49\u63d0\u793a\u8bcd\u4f18\u5316\u65b9\u6cd5\u5229\u7528\u641c\u7d22\u7b97\u6cd5\uff08\u5982\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\u6216\u8fed\u4ee3\u63a2\u7d22\uff09\u8bd5\u56fe\u901a\u8fc7\u53cd\u590d\u63a2\u7d22\u4e0d\u540c\u8def\u5f84\u6765\u4f18\u5316\u4efb\u52a1\u63d0\u793a\u6216\u63a8\u7406\u8def\u5f84\u3002\u5c3d\u7ba1\u8fd9\u79cd\u65b9\u6cd5\u80fd\u591f\u5728\u6709\u9650\u7684\u5c40\u90e8\u641c\u7d22\u7a7a\u95f4\u5185\u53cd\u590d\u5c1d\u8bd5\u4e0d\u540c\u7684\u8def\u5f84\uff0c\u4f46\u5b83\u4f9d\u8d56\u4e8e\u5c40\u90e8\u641c\u7d22\uff0c\u7f3a\u4e4f\u5168\u5c40\u89c6\u89d2\uff0c\u5bb9\u6613\u505c\u7559\u5728\u5c40\u90e8\u6700\u4f18\u89e3\u3002\u7279\u522b\u662f\u5728\u6df1\u5ea6\u63a8\u7406\u548c\u591a\u9636\u6bb5\u51b3\u7b56\u4efb\u52a1\u4e2d\uff0c\u641c\u7d22\u65b9\u6cd5\u8868\u73b0\u4e0d\u4f73\uff0c\u4e14\u7531\u4e8e\u65e0\u6cd5\u5168\u9762\u8003\u8651\u4efb\u52a1\u7684\u5168\u5c40\u6f14\u5316\uff0c\u53ef\u80fd\u5bfc\u81f4\u8ba1\u7b97\u8d44\u6e90\u7684\u6d6a\u8d39\u3002<\/p>\n

\u57fa\u4e8e\u6587\u672c\u68af\u5ea6\u7684\u4f18\u5316\uff08Textual-Gradient-Based Methods\uff09<\/p>\n

TextGrad\u3001ProTeGi\u7b49\u65b9\u6cd5\u901a\u8fc7\u5373\u65f6\u53cd\u9988\u8c03\u6574\u6bcf\u6b21\u8f93\u51fa\uff0c\u5173\u6ce8\u5f53\u524d\u7684\u4efb\u52a1\u7ed3\u679c\u800c\u5ffd\u89c6\u5386\u53f2\u54cd\u5e94\u7684\u79ef\u7d2f\u6548\u5e94\u3002\u8fd9\u79cd\u505a\u6cd5\u5bfc\u81f4\u4f18\u5316\u8fc7\u7a0b\u53ef\u80fd\u5728\u67d0\u4e2a\u9636\u6bb5\u505c\u6ede\uff0c\u65e0\u6cd5\u6709\u6548\u63d0\u5347\u6a21\u578b\u7684\u957f\u671f\u6027\u80fd\u3002\u867d\u7136\u5373\u4f7f\u5f15\u5165\u52a8\u91cf\u7b56\u7565\uff08\u5982Momentum-Enhanced TextGrad\uff09\u6765\u52a0\u901f\u4f18\u5316\uff0c\u4f9d\u7136\u4ec5\u4f9d\u8d56\u5373\u65f6\u53cd\u9988\uff0c\u4e14\u5b58\u5728\u8fc7\u5ea6\u8c03\u6574\u548c\u4e0d\u7a33\u5b9a\u66f4\u65b0\u7684\u98ce\u9669\uff0c\u96be\u4ee5\u786e\u4fdd\u4f18\u5316\u6301\u7eed\u671d\u7740\u6b63\u786e\u65b9\u5411\u524d\u8fdb\uff0c\u7279\u522b\u662f\u5728\u590d\u6742\u4efb\u52a1\u4e2d\uff0c\u4f18\u5316\u8fc7\u7a0b\u5e38\u5e38\u65e0\u6cd5\u6301\u7eed\u6539\u8fdb\u3002<\/p>\n

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

\u6838\u5fc3\u601d\u60f3<\/strong><\/p>\n

\u5728\u6587\u672c\u4f18\u5316\uff08Textual Optimization\uff09\u7684\u6846\u67b6\u4e2d\uff0cLLM\u00a0\u667a\u80fd\u4f53\u7cfb\u7edf\u901a\u5e38\u88ab\u89c6\u4e3a\u4e00\u4e2a\u8ba1\u7b97\u56fe\uff08Computation Graph\uff09\uff0c\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u4f5c\u4e3a\u5a92\u4ecb\uff0c\u5b9e\u73b0\u4e0d\u540c\u7ec4\u4ef6\u4e4b\u95f4\u7684\u201c\u68af\u5ea6\u201d\u4f20\u9012\u3002\u4f18\u5316\u7684\u8fc7\u7a0b\u662f\u901a\u8fc7\u53cd\u5411\u4f20\u64ad\uff0c\u5c06\u8bed\u8a00\u6a21\u578b\u7684\u8f93\u51fa\u4f5c\u4e3a\u53cd\u9988\uff0c\u4f20\u9012\u5230\u6240\u6709\u53ef\u80fd\u7684\u65e9\u671f\u7ec4\u4ef6\uff0c\u4ece\u800c\u8c03\u6574\u7cfb\u7edf\u4e2d\u7684\u5404\u4e2a\u53d8\u91cf\u3002\u8fd9\u4e00\u8fc7\u7a0b\u7c7b\u4f3c\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4e2d\u7684\u53cd\u5411\u4f20\u64ad\uff0c\u53ea\u4e0d\u8fc7\u8fd9\u91cc\u4f20\u64ad\u7684\u4e0d\u662f\u6570\u503c\u68af\u5ea6\uff0c\u800c\u662f\u81ea\u7136\u8bed\u8a00\u5f62\u5f0f\u7684\u53cd\u9988\u3002<\/p>\n

\u5728\u5f53\u524d\u7684\u4f18\u5316\u8303\u5f0f\u4e2d\uff0c\u7cfb\u7edf\u901a\u8fc7\u57fa\u4e8e\u5373\u65f6\u53cd\u9988\u7684\u673a\u5236\u6765\u8c03\u6574\u6a21\u578b\u8f93\u51fa\u3002\u8fd9\u79cd\u65b9\u6cd5\u901a\u8fc7\u5206\u6790\u6bcf\u6b21\u8f93\u51fa\u4e0e\u76ee\u6807\u4e4b\u95f4\u7684\u8bef\u5dee\uff0c\u9010\u6b65\u5f15\u5bfc\u6a21\u578b\u8f93\u51fa\u66f4\u7b26\u5408\u671f\u671b\u7684\u7ed3\u679c\uff1a<\/p>\n

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

\u5176\u4e2d\uff0c<\/a>\u662f\u4efb\u52a1\u635f\u5931\u51fd\u6570\uff0c<\/a>\u8868\u793a\u6a21\u578b\u5728\u7b2c t \u6b21\u8fed\u4ee3\u4e2d\u6536\u5230\u8f93\u5165\u63d0\u793a<\/a>\u00a0\u540e\u7684\u54cd\u5e94\u7ed3\u679c\u3002\u6211\u4eec\u4f7f\u7528<\/a>\u6765\u8868\u793a\u57fa\u4e8e\u6587\u672c\u7684\u7684\u68af\u5ea6\uff0c\u6307\u4ee3\u635f\u5931\u51fd\u6570\u76f8\u5bf9\u4e8e\u8f93\u5165\u63d0\u793a\u7684\u53d8\u5316\u7387\uff0c\u8fd9\u4e0e\u4f20\u7edf\u7684\u5bfc\u6570\u5177\u6709\u76f8\u4f3c\u7684\u4f5c\u7528\u3002\u901a\u8fc7\u8fd9\u79cd\u53cd\u9988\uff0c\u4f18\u5316\u5668\u53ef\u4ee5\u8c03\u6574\u8f93\u5165\u63d0\u793a\uff0c\u4ece\u800c\u9010\u6b65\u6539\u8fdb\u4efb\u52a1\u6027\u80fd\u3002<\/p>\n

\u7136\u800c\uff0c\u8fd9\u79cd\u4f18\u5316\u8303\u5f0f\u5b58\u5728\u4e00\u5b9a\u7684\u5c40\u9650\u6027\u3002\u5b83\u4f9d\u8d56\u5373\u65f6\u53cd\u9988\uff0c\u6bcf\u6b21\u8c03\u6574\u4ec5\u6839\u636e\u5f53\u524d\u8fed\u4ee3\u7684\u53cd\u9988\u8fdb\u884c\uff0c\u5ffd\u89c6\u4e86\u5386\u53f2\u54cd\u5e94\u7684\u79ef\u7d2f\u6548\u5e94\u3002\u8fd9\u5bfc\u81f4\u4f18\u5316\u8fc7\u7a0b\u5728\u9762\u5bf9\u590d\u6742\u4efb\u52a1\u65f6\u53ef\u80fd\u505c\u6ede\uff0c\u5c24\u5176\u662f\u5f53\u4efb\u52a1\u9700\u8981\u591a\u8f6e\u63a8\u7406\u548c\u9010\u6b65\u6f14\u5316\u65f6\uff0c\u6a21\u578b\u7684\u4f18\u5316\u6548\u679c\u9010\u6e10\u51cf\u5f31\u3002\u7531\u4e8e\u7f3a\u4e4f\u5bf9\u4efb\u52a1\u5168\u5c40\u6f14\u5316\u7684\u628a\u63e1\uff0c\u73b0\u6709\u65b9\u6cd5\u5bb9\u6613\u9677\u5165\u5c40\u90e8\u6700\u4f18\uff0c\u65e0\u6cd5\u5145\u5206\u5229\u7528\u591a\u8f6e\u8fed\u4ee3\u4e2d\u7684\u4fe1\u606f\uff0c\u96be\u4ee5\u6301\u7eed\u63d0\u5347\u6a21\u578b\u7684\u8868\u73b0\u3002<\/p>\n

REVOLVE\u901a\u8fc7\u5f15\u5165\u54cd\u5e94\u6f14\u5316\u7684\u8ddf\u8e2a\uff0c\u4f7f\u4f18\u5316\u8fc7\u7a0b\u66f4\u4e3a\u7cbe\u7ec6\u548c\u7a33\u5b9a\u3002\u6211\u4eec\u4e0d\u518d\u4ec5\u4f9d\u8d56\u5355\u6b21\u53cd\u9988\uff0c\u800c\u662f\u901a\u8fc7\u8003\u8651\u591a\u8f6e\u8fed\u4ee3\u4e2d\u54cd\u5e94\u7684\u53d8\u5316\u8d8b\u52bf\uff0c\u9010\u6b65\u63a8\u52a8\u6a21\u578b\u4f18\u5316\u3002\u4f5c\u8005\u901a\u8fc7\u4ee5\u4e0b\u516c\u5f0f\u6269\u5c55\u4e86\u4f18\u5316\u8fc7\u7a0b\uff1a<\/p>\n

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

\u5176\u4e2d\uff0c<\/a>\u662f\u76f8\u4f3c\u5ea6\u51fd\u6570\uff0c\u8868\u793a\u5f53\u524d\u54cd\u5e94\u4e0e\u524d\u4e00\u6b21\u54cd\u5e94\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\u3002\u901a\u8fc7\u5f15\u5165\u8fd9\u4e00\u9879\uff0cREVOLVE\u80fd\u591f\u7efc\u5408\u8fc7\u53bb\u7684\u4fe1\u606f\uff0c\u66f4\u5168\u9762\u5730\u6307\u5bfc\u4f18\u5316\u8fc7\u7a0b\u3002<\/p>\n

\u4e3a\u4e86\u66f4\u6e05\u6670\u5730\u5b9a\u4e49\u76f8\u4f3c\u5ea6\u51fd\u6570\uff0c\u4f5c\u8005\u4f7f\u7528\u5982\u4e0b\u516c\u5f0f\u91cf\u5316\u54cd\u5e94\u4e4b\u95f4\u7684\u5dee\u5f02\uff1a<\/p>\n

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

\u8be5\u76f8\u4f3c\u5ea6\u51fd\u6570\u901a\u8fc7\u8ba1\u7b97\u54cd\u5e94\u5dee\u5f02\u6765\u53cd\u6620\u4efb\u52a1\u7684\u6f14\u5316\u8d8b\u52bf\uff0c\u4f7f\u5f97\u4f18\u5316\u8fc7\u7a0b\u80fd\u591f\u4ece\u5168\u5c40\u89d2\u5ea6\u51fa\u53d1\uff0c\u907f\u514d\u5c40\u90e8\u6700\u4f18\u3002<\/p>\n

\u63a5\u4e0b\u6765\uff0c\u5047\u8bbe\u8fde\u7eed\u63d0\u793a\u7684\u5dee\u5f02<\/a>\u00a0\u8db3\u591f\u5c0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5176\u7b49\u4ef7\u5730\u89c6\u4e3a\u68af\u5ea6\u53d8\u5316\u7387\u3002\u4e8e\u662f\uff0c\u6211\u4eec\u5f97\u51fa\u4ee5\u4e0b\u516c\u5f0f\uff1a<\/p>\n

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

\u6700\u7ec8\uff0cREVOLVE\u7684\u4f18\u5316\u516c\u5f0f\u53ef\u4ee5\u88ab\u91cd\u5199\u4e3a\uff1a<\/p>\n

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

\u8fd9\u4e00\u516c\u5f0f\u5f15\u5165\u4e86\u7b2c\u4e8c\u9636\u4f18\u5316\u7684\u601d\u60f3\uff0c\u6a21\u62df\u4e86Hessian\u77e9\u9635\u7684\u4f5c\u7528\u3002\u901a\u8fc7\u8003\u8651\u68af\u5ea6\u53d8\u5316\u7387\uff0cREVOLVE\u80fd\u591f\u66f4\u5168\u9762\u5730\u5206\u6790\u4f18\u5316\u8fc7\u7a0b\uff0c\u4ece\u5168\u5c40\u89d2\u5ea6\u63a8\u52a8\u6a21\u578b\u4f18\u5316\uff0c\u907f\u514d\u9677\u5165\u5c40\u90e8\u6700\u4f18\uff0c\u5e76\u786e\u4fdd\u591a\u8f6e\u8fed\u4ee3\u4e2d\u7684\u6301\u7eed\u8fdb\u5316\u3002<\/p>\n

<\/p>\n

REVOLVE<\/strong>\u80fd\u505a\u4ec0\u4e48<\/strong><\/p>\n

1.\u89e3\u51b3\u65b9\u6848\u4f18\u5316 (Solution Optimization)\uff1a<\/strong><\/p>\n

REVOLVE\u80fd\u591f\u663e\u8457\u63d0\u5347\u6a21\u578b\u5728\u590d\u6742\u79d1\u5b66\u95ee\u9898\u4e0a\u7684\u89e3\u7b54\u80fd\u529b\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u6df1\u5ea6\u63a8\u7406\u548c\u590d\u6742\u51b3\u7b56\u7684\u4efb\u52a1\u4e2d\u3002\u4f8b\u5982\uff0c\u5728MMLU-Machine Learning benchmark<\/strong>\u4e0a\uff0cREVOLVE\u901a\u8fc7\u4f18\u5316\u89e3\u7b54\u8fc7\u7a0b\uff0c\u5728Llama-3.1-8B<\/strong>\u6a21\u578b\u4e0a\u76f8\u8f83\u4e8eSOTA baseline\u63d0\u5347\u4e86 20.72%\u7684\u51c6\u786e\u7387\uff0c\u5145\u5206\u5c55\u793a\u4e86\u5176\u5728\u590d\u6742\u95ee\u9898\u6c42\u89e3\u4e2d\u7684\u4f18\u52bf\u3002<\/p>\n

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

2. \u63d0\u793a\u8bcd\u4f18\u5316 (Prompt Optimization)\uff1a<\/strong><\/p>\n

\u5728\u63a8\u7406\u4efb\u52a1\u4e2d\uff0cREVOLVE\u901a\u8fc7\u4f18\u5316\u63d0\u793a\u8bcd\uff0c\u5e2e\u52a9\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u5347\u63a8\u7406\u80fd\u529b\u3002<\/p>\n

\u4f8b\u5982\uff0c\u5728Big Bench Hard (BBH-Objective Counting)<\/strong>\u7684\u7269\u4f53\u8ba1\u6570\u4efb\u52a1\u4e0a\uff0c\u901a\u8fc7 REVOLVE\u4f18\u5316\u7684 prompt\uff0c\u80fd\u5c06 GPT-3.5-turbor<\/strong>\u7684 QA \u51c6\u786e\u7387\u4ece 77.8% \u63d0\u5347\u5230 95.5%\u3002 \u6b64\u5916\uff0cREVOLVE\u5728Llama-3.1-8B<\/strong>\u6a21\u578b\u4e0a\u76f8\u5bf9\u4e8eSOTA baseline<\/a>\u5e26\u6765\u4e867.8%\u7684\u6027\u80fd\u63d0\u5347\uff0c\u5c55\u73b0\u4e86\u5176\u5728\u63a8\u7406\u4efb\u52a1\u4e2d\u7684\u5353\u8d8a\u6027\u80fd\u3002<\/p>\n

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

3. \u4ee3\u7801\u4f18\u5316 (Code Optimization)\uff1a<\/strong><\/p>\n

REVOLVE\u540c\u6837\u80fd\u591f\u4f18\u5316\u590d\u6742\u7684\u7f16\u7a0b\u4efb\u52a1\u89e3\u51b3\u65b9\u6848\uff0c\u63d0\u5347\u6a21\u578b\u5728\u4ee3\u7801\u751f\u6210\u4e2d\u7684\u8868\u73b0\u3002\u4f8b\u5982\uff0c\u5728LeetCode Hard<\/strong>\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0cLlama-3.1-8B<\/strong>\u6a21\u578b\u901a\u8fc7REVOLVE\u4f18\u5316\uff0c\u76f8\u5bf9\u4e8eSOTA baseline\u6027\u80fd\u63d0\u5347\u4e8629.17%\uff0c\u8bc1\u660e\u4e86\u8be5\u65b9\u6cd5\u5728\u4ee3\u7801\u4f18\u5316\u4e2d\u7684\u5353\u8d8a\u6027\u80fd\u3002<\/p>\n

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

\u5728\u5b9e\u9a8c\u4e2d\uff0cREVOLVE\u8fd8\u4f53\u73b0\u4e86\u5982\u4e0b\u4f18\u52bf\uff1a<\/p>\n

1.\u8de8\u6a21\u578b\u666e\u9002\u6027<\/p>\n

REVOLVE\u5c55\u73b0\u4e86\u6781\u9ad8\u7684\u8de8\u6a21\u578b\u9002\u5e94\u6027\uff0c\u5e76\u4e14\u5728\u591a\u79cd\u5927\u8bed\u8a00\u6a21\u578b\u4e0a\u90fd\u8868\u73b0\u51fa\u8272\u3002\u5728\u5982GPT<\/strong>-3.5-turbo-0125\u3001GPT-4-0125-preview\u3001Gemini 1.5 Pro<\/strong>\u548cLlama 3.1 8B Instruct<\/strong>\u7b49\u591a\u4e2a\u6a21\u578b\u67b6\u6784\u4e2d\uff0cREVOLVE\u7684\u4f18\u5316\u6548\u679c\u5747\u7a33\u5b9a\u53ef\u9760\uff0c\u51c6\u786e\u7387\u666e\u904d\u63d0\u5347\u4e865-7%\uff0c\u8bc1\u660e\u4e86\u5176\u5728\u4e0d\u540c\u7cfb\u7edf\u67b6\u6784\u4e2d\u7684\u5e7f\u6cdb\u9002\u7528\u6027\u3002<\/p>\n

2.\u00a0\u5904\u7406\u5f31\u6a21\u578b\u7684\u4f18\u52bf<\/p>\n

\u5bf9\u4e8e\u8ba1\u7b97\u80fd\u529b\u8f83\u5f31\u7684\u6a21\u578b\uff0c\u5982GPT-3.5-turbo-0125<\/strong>\u3001<\/strong>Llama 3.1 8B Instruct<\/strong>\u7b49\uff0cREVOLVE\u5c55\u73b0\u51fa\u4e86\u663e\u8457\u7684\u6548\u7387\u4f18\u52bf\u3002\u901a\u8fc7\u4e00\u6b21\u6027\u4f18\u5316\uff0cREVOLVE\u80fd\u591f\u4e3a\u8fd9\u4e9b\u5f31\u6a21\u578b\u63d0\u4f9b\u5f3a\u5927\u7684\u6027\u80fd\u63d0\u5347\uff0c\u4ece\u800c\u5e2e\u52a9\u5b83\u4eec\u5728\u63a8\u7406\u4efb\u52a1\u4e2d\u8d85\u8d8a\u539f\u672c\u7684\u80fd\u529b\u3002\u6b64\u7279\u6027\u4f7f\u5f97REVOLVE\u975e\u5e38\u9002\u7528\u4e8e\u4f4e\u6210\u672c\u7684\u90e8\u7f72\u573a\u666f\uff0c\u7279\u522b\u662f\u5728\u8d44\u6e90\u6709\u9650\u7684\u73af\u5883\u4e2d\uff0c\u5b83\u80fd\u591f\u4e3a\u5f31\u6a21\u578b\u63d0\u4f9b\u9ad8\u6548\u7684\u4f18\u5316\u6548\u679c\uff0c\u800c\u65e0\u9700\u4f7f\u7528\u9ad8\u6210\u672c\u7684\u5f3a\u5927\u6a21\u578b\u8fdb\u884c\u591a\u8f6e\u63a8\u7406\u3002<\/p>\n

3.\u00a0\u8ba1\u7b97\u8d44\u6e90\u6548\u7387<\/p>\n

REVOLVE\u5728\u8ba1\u7b97\u8d44\u6e90\u4f7f\u7528\u4e0a\u8868\u73b0\u51fa\u8272\uff0c\u5c3d\u7ba1\u6bcf\u6b21\u8fed\u4ee3\u7684\u8fd0\u884c\u65f6\u95f4\u7565\u9ad8\uff0c\u4f46\u5b83\u901a\u8fc7\u51cf\u5c11\u8fed\u4ee3\u6b21\u6570\uff0c\u663e\u8457\u8282\u7701\u4e86\u603b\u4f53\u8fd0\u884c\u65f6\u95f4\u3002\u5177\u4f53\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n

\uff081\uff09\u5728\u7269\u4f53\u8ba1\u6570\u6570\u636e\u96c6\u4e0a\uff0cREVOLVE\u76f8\u8f83\u4e8eTextGrad\u51cf\u5c11\u4e8650%<\/strong>\u7684\u603b\u8fd0\u884c\u65f6\u95f4\u3002<\/p>\n

\uff082\uff09\u5728\u89e3\u51b3\u65b9\u6848\u4f18\u5316\u4efb\u52a1\u4e2d\uff0cREVOLVE\u6bd4TextGrad\u8282\u7701\u4e8626.14%<\/strong>\u7684\u8fd0\u884c\u65f6\u95f4\uff0c\u800cMomentum-Enhanced TextGrad\u7531\u4e8e\u4e0d\u7a33\u5b9a\u6027\uff0c\u8fd0\u884c\u65f6\u95f4\u589e\u52a0\u4e8677.65%<\/strong>\u3002<\/p>\n

\uff083\uff09\u5728\u4ee3\u7801\u4f18\u5316\u4efb\u52a1\u4e2d\uff0cREVOLVE\u6bd4\u57fa\u7ebf\u65b9\u6cd5\u51cf\u5c11\u4e8616.67%<\/strong>\u7684\u603b\u8fd0\u884c\u65f6\u95f4\u3002<\/p>\n

\uff084\uff09\u5728GPU\u5185\u5b58\u4f7f\u7528\u65b9\u9762\uff0cREVOLVE\u4e0e\u57fa\u7ebf\u65b9\u6cd5\u76f8\u5f53\uff0c\u672a\u8868\u73b0\u51fa\u663e\u8457\u7684\u8d44\u6e90\u6d88\u8017\u589e\u52a0\u3002<\/p>\n

\u7ed3\u8bed<\/strong><\/p>\n

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