{"id":34301,"date":"2024-12-04T03:56:36","date_gmt":"2024-12-03T19:56:36","guid":{"rendered":"https:\/\/17aitech.com\/?p=34301"},"modified":"2024-12-04T03:56:36","modified_gmt":"2024-12-03T19:56:36","slug":"icml-2024%ef%bd%9ctransformer%e7%a9%b6%e7%ab%9f%e5%a6%82%e4%bd%95%e6%8e%a8%e7%90%86%ef%bc%9f%e5%9f%ba%e4%ba%8e%e6%a0%b7%e4%be%8b%e8%bf%98%e6%98%af%e5%9f%ba%e4%ba%8e%e8%a7%84%e5%88%99","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34301","title":{"rendered":"ICML 2024\uff5cTransformer\u7a76\u7adf\u5982\u4f55\u63a8\u7406\uff1f\u57fa\u4e8e\u6837\u4f8b\u8fd8\u662f\u57fa\u4e8e\u89c4\u5219"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-06-29\" target=\"_blank\">ICML 2024\uff5cTransformer\u7a76\u7adf\u5982\u4f55\u63a8\u7406\uff1f\u57fa\u4e8e\u6837\u4f8b\u8fd8\u662f\u57fa\u4e8e\u89c4\u5219<\/a><\/p>\n<p><strong>\u6587\u7ae0\u7b2c\u4e00\u4f5c\u8005\u4e3a\u6765\u81ea\u5317\u4eac\u5927\u5b66\u7269\u7406\u5b66\u9662\u3001\u5373\u5c06\u52a0\u5165\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u8bfb\u535a\u7684\u80e1\u9038\u3002\u80e1\u9038\u7684\u5bfc\u5e08\u4e3a\u5317\u4eac\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u52a9\u7406\u6559\u6388\u3001\u5317\u4eac\u901a\u7528\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u7814\u7a76\u5458\u5f20\u7267\u6db5\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u56fe<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u548c\u5927\u6a21\u578b\u7684\u63a8\u7406\u548c\u5fae\u8c03\u3002<\/strong><\/p>\n<section><\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-efc674ca64575107aaa209e72198445f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-efc674ca64575107aaa209e72198445f.png\"><\/a><\/p>\n<section><\/section>\n<ul>\n<li>\n<section>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/abs\/2402.17709<\/section>\n<\/li>\n<li>\n<section>\u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/github.com\/GraphPKU\/Case_or_Rule<\/section>\n<\/li>\n<li>\n<section>\u8bba\u6587\u6807\u9898\uff1aCase-Based or Rule-Based: How Do Transformers Do the Math?<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section><strong>Case-based or rule-based?<\/strong><\/section>\n<section><\/section>\n<section>\u5c3d\u7ba1\u5982 ChatGPT \u8fd9\u6837\u7684\u5927<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\uff08Large Language Models, LLMs\uff09\u5df2\u7ecf\u5728\u5404\u79cd\u590d\u6742\u4efb\u52a1\u4e2d\u5c55\u73b0\u51fa\u4ee4\u4eba\u60ca\u8273\u7684\u6027\u80fd\uff0c\u5b83\u4eec\u5728\u5904\u7406\u4e00\u4e9b\u5bf9\u4eba\u7c7b\u6765\u8bf4\u5341\u5206\u7b80\u5355\u7684\u6570\u5b66\u63a8\u7406\u95ee\u9898\u65f6\u4ecd\u4f1a\u9762\u4e34\u56f0\u96be\uff0c\u4f8b\u5982\u957f\u6574\u6570\u52a0\u6cd5\u3002<\/section>\n<section><\/section>\n<section>\u4eba\u7c7b\u53ef\u4ee5\u8f7b\u677e\u5730\u5b66\u4e60\u52a0\u6cd5\u7684<strong>\u57fa\u672c\u89c4\u5219<\/strong>\uff0c\u4f8b\u5982\u7ad6\u5f0f\u52a0\u6cd5\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u4efb\u610f\u957f\u5ea6\u7684\u65b0\u7684\u52a0\u6cd5\u95ee\u9898\uff0c\u4f46 LLMs \u5374\u96be\u4ee5\u505a\u5230\u8fd9\u4e00\u70b9\u3002\u76f8\u53cd\uff0c\u5b83\u4eec\u53ef\u80fd\u4f1a\u4f9d\u8d56\u4e8e\u8bad\u7ec3\u8bed\u6599\u5e93\u4e2d\u89c1\u8fc7\u7684<strong>\u76f8\u4f3c\u6837\u4f8b<\/strong>\u6765\u5e2e\u52a9\u89e3\u51b3\u95ee\u9898\u3002\u6765\u81ea<strong>\u5317\u4eac\u5927\u5b66\u5f20\u7267\u6db5\u56e2\u961f\u7684 ICML 2024 \u8bba\u6587<\/strong>\u6df1\u523b\u7814\u7a76\u4e86\u8fd9\u4e00\u73b0\u8c61\u3002\u7814\u7a76\u8005\u4eec\u5c06\u8fd9\u4e24\u79cd\u4e0d\u540c\u7684\u63a8\u7406\u673a\u5236\u5b9a\u4e49\u4e3a \u201c\u57fa\u4e8e\u89c4\u5219\u7684\u63a8\u7406\u201d\uff08rule-based reasoning\uff09\u548c \u201c\u57fa\u4e8e\u6837\u4f8b\u7684\u63a8\u7406\u201d\uff08case-based reasoning\uff09\u3002\u56fe 1 \u5c55\u73b0\u4e86\u4e24\u79cd\u63a8\u7406\u673a\u5236\u5728\u9047\u5230\u540c\u4e00\u4e2a\u52a0\u6cd5\u95ee\u9898\u65f6\uff0c\u91c7\u7528\u7684\u4e0d\u540c\u6a21\u5f0f\u3002<\/section>\n<section><\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-5794fa933272906bffa1be8a1135fdb6.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-5794fa933272906bffa1be8a1135fdb6.png\"><\/a><\/p>\n<section><em>\u56fe 1\uff1acase-based reasoning \u4e0e rule-based reasoning \u793a\u610f\u56fe<\/em><\/section>\n<section><\/section>\n<section>\u7531\u4e8e rule-based reasoning \u5bf9\u4e8e\u83b7\u5f97<strong>\u7cfb\u7edf\u6027\u7684\u6cdb\u5316\u80fd\u529b<\/strong> (systematic generalization) \u81f3\u5173\u91cd\u8981\uff0c\u4f5c\u8005\u5728\u6587\u7ae0\u4e2d\u63a2\u8ba8\u4e86 transformers \u5728\u6570\u5b66\u95ee\u9898\uff08\u4f8b\u5982 &#8220;a+b=?&#8221;\uff09\u4e2d\u5230\u5e95\u662f\u4f7f\u7528\u4f55\u79cd\u63a8\u7406\u673a\u5236\u3002\u4e3a\u4e86\u6d4b\u8bd5\u6a21\u578b\u662f\u5426\u4f9d\u8d56\u7279\u5b9a\u6837\u4f8b\u6765\u89e3\u51b3\u95ee\u9898\uff0c\u4f5c\u8005\u4f7f\u7528\u4e86 Leave-Square-Out \u65b9\u6cd5\u3002\u4e3b\u8981\u601d\u60f3\u662f\u9996\u5148\u9700\u8981\u5b9a\u4f4d\u6a21\u578b\u53ef\u80fd\u4f9d\u8d56\u7684\u8bad\u7ec3\u96c6\u4e2d\u7684\u6837\u4f8b\uff0c\u7136\u540e\u5c06\u5b83\u4eec\u4ece\u8bad\u7ec3\u96c6\u4e2d\u79fb\u9664\uff0c\u4ee5\u89c2\u5bdf\u5b83\u4eec\u662f\u5426\u5f71\u54cd\u6a21\u578b\u7684\u6d4b\u8bd5\u6027\u80fd\u3002\u5bf9\u4e8e\u6570\u5b66\u63a8\u7406\uff0c\u4f5c\u8005\u7684\u5047\u8bbe\u662f\uff0c\u5728\u89e3\u51b3\u67d0\u4e2a\u6d4b\u8bd5\u6837\u672c\u65f6\uff0ctransformers \u503e\u5411\u4e8e\u4f9d\u8d56\u4e0e\u6d4b\u8bd5\u6837\u672c \u201c\u63a5\u8fd1\u201d \u7684\u8bad\u7ec3\u6837\u672c\u6765\u8fdb\u884c\u63a8\u7406\u3002\u56e0\u6b64\uff0c\u4f5c\u8005\u5728\u6837\u672c\u7684\u4e8c\u7ef4\u7a7a\u95f4\u4e2d\u6316\u6389\u4e86\u4e00\u5757\u6b63\u65b9\u5f62\u4f5c\u4e3a\u6d4b\u8bd5\u96c6\uff08test square\uff09\u3002\u6839\u636e\u5047\u8bbe\uff0c\u82e5\u6a21\u578b\u5728\u505a case-based reasoning\uff0c\u4e14\u6a21\u578b\u4f9d\u8d56\u7684\u662f\u4e0e test sample \u8ddd\u79bb\u8f83\u8fd1\u7684 training sample \u6765\u505a\u63a8\u7406\uff0c\u90a3\u4e48\u6a21\u578b\u5c06\u65e0\u6cd5\u7b54\u5bf9\u6b63\u65b9\u5f62\u4e2d\u5fc3\u9644\u8fd1\u7684 test samples\uff0c\u56e0\u4e3a\u6a21\u578b\u5728\u8bad\u7ec3\u96c6\u4e2d\u6ca1\u6709\u89c1\u8fc7\u63a5\u8fd1\u7684\u6837\u4f8b\u3002<\/section>\n<section><\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-da7f167d113ee4640c8c816a3dd22dfd.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-da7f167d113ee4640c8c816a3dd22dfd.png\"><\/a><\/p>\n<section><em>\u56fe 2\uff1aGPT-2 \u5728\u52a0\u6cd5\u3001\u6a21\u52a0\u6cd5\u3001\u4e5d\u8fdb\u5236\u52a0\u6cd5\u3001\u7ebf\u6027\u56de\u5f52\u4e0a\u5229\u7528 Leave-Square-Out \u65b9\u6cd5\u8fdb\u884c fine-tune \u540e\u5728\u5168\u6570\u636e\u96c6\u4e0a\u7684\u6b63\u786e\u7387\u3002\u5176\u4e2d\uff0c\u7ea2\u6846\u4e2d\u7684\u65b9\u5f62\u533a\u57df\u4e3a\u6d4b\u8bd5\u96c6\uff0c\u5176\u4ed6\u90e8\u5206\u4e3a\u8bad\u7ec3\u96c6\u5408<\/em>\u3002<\/section>\n<section><\/section>\n<section>\u901a\u8fc7\u5728\u4e94\u4e2a\u6570\u5b66\u4efb\u52a1\uff08\u5305\u62ec\u52a0\u6cd5\u3001\u6a21\u52a0\u6cd5\u3001\u4e5d\u8fdb\u5236\u52a0\u6cd5\u3001\u7ebf\u6027\u56de\u5f52\u4ee5\u53ca\u9e21\u5154\u540c\u7b3c\u95ee\u9898\uff09\u7684\u5e72\u9884\u5b9e\u9a8c\uff0ctransformers \u65e0\u4e00\u4f8b\u5916\u90fd\u8868\u73b0\u51fa\u4e86 case-based reasoning \u7684\u884c\u4e3a\u3002\u4f5c\u8005\u5229\u7528 Leave-Square-Out \u65b9\u6cd5\u5bf9 GPT-2 \u8fdb\u884c\u4e86 fine-tune\uff0c\u5177\u4f53\u7684\u6a21\u578b\u8868\u73b0\u5c55\u793a\u4e8e\u56fe 2\u3002\u53ef\u89c1\uff0c\u6d4b\u8bd5\u96c6\u5185\uff0c\u6a21\u578b\u7684\u6027\u80fd\u7531\u8fb9\u754c\u5230\u4e2d\u5fc3\u8fc5\u901f\u4e0b\u964d\uff0c\u51fa\u73b0\u4e86 holes\u3002\u8fd9\u8bf4\u660e\u5f53\u6211\u4eec\u628a holes \u5468\u56f4\u7684 similar cases \u79fb\u51fa\u8bad\u7ec3\u96c6\u65f6\uff0c\u6a21\u578b\u4fbf\u65e0\u6cd5\u505a\u5bf9 holes \u4e2d\u7684 test samples \u505a\u51fa\u51c6\u786e\u63a8\u7406\u3002\u4e5f\u5373\u5c55\u73b0\u51fa\u6a21\u578b\u4f9d\u8d56 similar cases \u8fdb\u884c\u63a8\u7406\u7684\u884c\u4e3a\u3002\u4e3a\u4e86\u786e\u4fdd\u7ed3\u8bba\u7684\u516c\u5e73\u6027\uff0c\u4f5c\u8005\u540c\u65f6\u5229\u7528 random split \u65b9\u6cd5\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u4e86\u8bad\u7ec3\u96c6 \/ \u6d4b\u8bd5\u96c6\u7684\u5212\u5206\uff0c\u5e76\u89c2\u5bdf\u5230 random split \u4e0b\u6a21\u578b\u53ef\u8f7b\u6613\u5728\u6d4b\u8bd5\u96c6\u4e0a\u8fbe\u5230\u63a5\u8fd1 100% \u7684\u51c6\u786e\u7387\uff0c\u8bf4\u660e Leave-Square-Out \u5b9e\u9a8c\u4e2d\u7684\u8bad\u7ec3\u6837\u4f8b\u6570\u662f\u8db3\u591f\u6a21\u578b\u5b8c\u6210\u63a8\u7406\u7684\uff0c\u4e14\u518d\u6b21\u4fa7\u9762\u5370\u8bc1\u4e86 transformers \u5728\u505a\u57fa\u4e8e\u6837\u4f8b\u7684\u63a8\u7406\uff08\u56e0\u4e3a random split \u4e0b\u6240\u6709 test samples \u90fd\u6709\u63a5\u8fd1\u7684 training samples\uff09\u3002<\/section>\n<section><\/section>\n<section><strong>Scratchpad \u662f\u5426\u4f1a\u6539\u53d8\u6a21\u578b\u63a8\u7406\u884c\u4e3a\uff1f<\/strong><\/section>\n<section><\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-4464c8cd62fefbb02a49d69f9e3dde20.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-4464c8cd62fefbb02a49d69f9e3dde20.png\"><\/a><\/p>\n<section><em>\u56fe 3\uff1a\u5229\u7528 scratchpad \u5bf9 GPT-2 \u5728\u52a0\u6cd5\u4efb\u52a1\u4e0a\u8fdb\u884c fine-tune \u540e\u7684\u6a21\u578b\u5728 test square \u4e2d\u7684\u51c6\u786e\u7387\u3002<\/em><\/section>\n<section><\/section>\n<section>\u6b64\u5916\uff0c\u4f5c\u8005\u63a2\u8ba8\u4e86\u662f\u5426\u53ef\u4ee5\u901a\u8fc7\u52a0\u5165 scratchpad\uff0c\u5373\u5f15\u5bfc\u6a21\u578b\u5728\u8f93\u51fa\u4e2d\u4e00\u4f4d\u4e00\u4f4d\u5730\u505a\u52a0\u6cd5\u6765\u6d88\u9664 case-based reasoning \u7684\u884c\u4e3a\uff0c\u4f7f\u6a21\u578b\u8f6c\u5411 rule-based reasoning\uff08scratchpad \u7684\u5177\u4f53\u65b9\u6cd5\u53ef\u89c1\u56fe 4\uff09\u3002\u56fe 3 \u5c55\u793a\u4e86\u5229\u7528 scratchpad \u5bf9 GPT-2 \u5728\u52a0\u6cd5\u4efb\u52a1\u4e0a\u8fdb\u884c fine-tune \u540e\u7684\u6a21\u578b\u5728 test square \u4e2d\u7684\u51c6\u786e\u7387\u3002<\/section>\n<section><\/section>\n<section>\u4e00\u65b9\u9762\uff0c\u53ef\u53d1\u73b0 test square \u4e2d\u4ecd\u7136\u6709\u4e00\u90e8\u5206\u6a21\u578b\u65e0\u6cd5\u505a\u5bf9\u7684\u533a\u57df\uff0c\u8868\u73b0\u51fa<strong>\u6a21\u578b\u4ecd\u7136\u5728\u505a case-based reasoning<\/strong>\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u4e0e\u4e0d\u52a0\u5165 scratchpad \u65f6\u6a21\u578b\u5728 test square \u4e2d\u51fa\u73b0\u6574\u5757\u8fde\u7eed\u7684 hole \u7684\u73b0\u8c61\u76f8\u6bd4\uff0c\u6a21\u578b\u5728\u4f7f\u7528 scratchpad \u65f6\u5bf9\u4e8e\u8bad\u7ec3\u6837\u4f8b\u7684\u4f9d\u8d56\u60c5\u51b5\u663e\u7136\u53d1\u751f\u4e86\u53d8\u5316\u3002<\/section>\n<section><\/section>\n<section>\u5177\u4f53\u800c\u8a00\uff0ctest square \u4e2d\u65e0\u6cd5\u505a\u5bf9\u7684\u533a\u57df\u5448\u73b0\u4e3a\u4e09\u89d2\u5f62\uff0c\u5176\u659c\u8fb9\u6cbf\u7740\u4e2a\u4f4d\u548c\u5341\u4f4d\u7684 \u201c\u8fdb\u4f4d\u8fb9\u754c\u201d\u3002\u4f8b\u5982\uff0c\u56fe 3 \u4e2d\u81ea\u5de6\u5411\u53f3\u7b2c 2 \u5f20\u56fe\uff08test square \u8fb9\u957fl_k=20\uff09\u6709\u4e24\u4e2a\u4e09\u89d2\u5f62\u533a\u57df\uff0c\u6a21\u578b\u7684\u51c6\u786e\u7387\u51e0\u4e4e\u4e3a\u96f6\u3002\u5c0f\u4e09\u89d2\u5f62\u8868\u793a\uff0c\u6a21\u578b\u65e0\u6cd5\u89e3\u51b3\u598247+48\u7684\u95ee\u9898\uff0c\u56e0\u4e3a\u8bad\u7ec3\u96c6\u4e2d\u6ca1\u6709\u5305\u542b\u5341\u4f4d\u4e0a4+4+1\u7684\u6b65\u9aa4\uff08\u6240\u6709\u56db\u5341\u51e0 + \u56db\u5341\u51e0\u7684\u6837\u4f8b\u90fd\u5728\u6d4b\u8bd5\u96c6\u4e2d\uff09\u3002\u800c\u5bf9\u4e8e\u4e0d\u6d89\u53ca\u5341\u4f4d\u8fdb\u4f4d\u7684\u6d4b\u8bd5\u6837\u672c\uff0c\u598242+43 \uff0c\u6a21\u578b\u5219\u80fd\u591f\u6210\u529f\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u4ece\u5927\u91cf\u5176\u4ed6\u8bad\u7ec3\u6570\u636e\u4e2d\u5b66\u4e60\u5230 4+4=8\u8fd9\u4e2a\u4e2d\u95f4\u6b65\u9aa4\uff08\u4f8b\u598224+24=48\uff09\u3002\u5bf9\u4e8e\u5927\u4e09\u89d2\u5f62\u4e2d\u7684\u6570\u636e\u800c\u8a00\uff0c\u6a21\u578b\u65e0\u6cd5\u89e3\u51b3\u4f8b\u598257+58\u8fd9\u6837\u7684\u95ee\u9898\uff0c\u56e0\u4e3a\u8bad\u7ec3\u96c6\u4e2d\u6ca1\u6709\u5305\u542b\u5341\u4f4d\u4e0a5+5\u9700\u8981\u8fdb\u4f4d\u5230\u767e\u4f4d\u7684\u6848\u4f8b\u3002<\/section>\n<section><\/section>\n<section>\u8fd9\u4e9b\u9ed1\u8272\u533a\u57df\u7684\u5f62\u72b6\u548c\u4f4d\u7f6e\u8868\u660e\uff0c<strong>\u53ea\u6709\u5f53\u6d4b\u8bd5\u6848\u4f8b\u7684\u6bcf\u4e00\u6b65\u5728\u8bad\u7ec3\u96c6\u4e2d\u90fd\u51fa\u73b0\u8fc7\u65f6\uff0c\u6a21\u578b\u624d\u80fd\u591f\u6210\u529f<\/strong>\uff1b\u5426\u5219\u5c31\u4f1a\u5931\u8d25\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u8fd9\u4e00\u73b0\u8c61\u8868\u660e\uff0c\u5373\u4f7f\u6709 <strong>step-by-step \u7684\u63a8\u7406\u8fc7\u7a0b\u7684\u5e2e\u52a9\uff0ctransformers \u4e5f\u96be\u4ee5\u5b66\u4f1a rule-based reasoning\u00a0<\/strong>\u2014\u2014 \u6a21\u578b\u4ecd\u7136\u5728\u673a\u68b0\u5730\u8bb0\u5fc6\u89c1\u8fc7\u7684\u5355\u4e2a\u6b65\u9aa4\uff0c\u800c\u6ca1\u6709\u5b66\u4f1a<strong>\u80cc\u540e\u7684\u89c4\u5219<\/strong>\u3002<\/section>\n<section><\/section>\n<section><strong>\u5176\u4ed6\u5f71\u54cd\u56e0\u7d20<\/strong><\/section>\n<section><\/section>\n<section>Scratchpad \u4ee5\u5916\uff0c\u4f5c\u8005\u4e5f\u5728\u6587\u7ae0\u4e2d\u5bf9 test square \u7684\u4f4d\u7f6e\u3001\u5927\u5c0f\uff0c\u6a21\u578b\u7684\u5927\u5c0f\uff08\u5305\u62ec GPT-2-Medium\uff0c\u4e0e\u66f4\u5927\u7684\u6a21\u578b\uff1a<strong>Llama-2-7B \u548c GPT-3.5-Turbo<\/strong>\uff09\uff0c\u6570\u636e\u96c6\u7684\u5927\u5c0f\u7b49\u56e0\u7d20\u8fdb\u884c\u4e86\u4e30\u5bcc\u7684\u6d4b\u8bd5\u3002\u6a21\u578b\u5728\u505a case-based reasoning \u7684\u7ed3\u8bba\u662f\u7edf\u4e00\u7684\u3002\u5177\u4f53\u7684\u5b9e\u9a8c\u7ec6\u8282\u53ef\u89c1\u6587\u7ae0\u3002<\/section>\n<section><\/section>\n<section><strong>Rule-Following Fine-Tuning (RFFT)<\/strong><\/section>\n<section><strong><br \/><\/strong><\/section>\n<section>\u901a\u8fc7\u4e0a\u8ff0\u7684\u5e72\u9884\u5b9e\u9a8c\uff0c\u4f5c\u8005\u53d1\u73b0 transformers \u5728\u6570\u5b66\u63a8\u7406\u4e2d\u503e\u5411\u4e8e\u4f7f\u7528 case-based reasoning\uff0c\u7136\u800c\uff0ccase-based reasoning \u4f1a\u6781\u5927\u5730\u9650\u5236\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u56e0\u4e3a\u8fd9\u610f\u5473\u7740\u6a21\u578b\u5982\u679c\u8981\u505a\u5bf9\u65b0\u7684 test sample \uff0c\u5c31\u9700\u8981\u5728\u8bad\u7ec3\u96c6\u4e2d\u89c1\u8fc7\u76f8\u4f3c\u7684\u6837\u672c\u3002\u800c\u5728\u8bad\u7ec3\u96c6\u4e2d\u8986\u76d6\u5230\u6240\u6709\u672a\u77e5\u63a8\u7406\u95ee\u9898\u7684\u76f8\u4f3c\u6837\u672c\u662f\u51e0\u4e4e\u4e0d\u53ef\u80fd\u7684\uff08\u5c24\u5176\u5bf9\u4e8e\u5b58\u5728\u957f\u5ea6\u6cdb\u5316\u7684\u95ee\u9898\uff09\u3002<\/section>\n<section><\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-726c81dd2a2cb28d9208bc99ad8ef507.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-726c81dd2a2cb28d9208bc99ad8ef507.png\"><\/a><\/p>\n<section><em>\u56fe 4\uff1adirect answer\uff0cscratchpad \u4e0e rule-following \u4e09\u79cd\u65b9\u6cd5\u7684 input-output sequence<\/em><\/section>\n<section><\/section>\n<section>\u4e3a\u4e86\u7f13\u89e3\u6b64\u7c7b\u95ee\u9898\uff0c\u4f5c\u8005\u63d0\u51fa\u4e86\u540d\u4e3a Rule-Following Fine-Tuning\uff08RFFT\uff09\u7684\u89c4\u5219\u9075\u5faa\u5fae\u8c03\u6280\u672f\uff0c\u65e8\u5728\u6559 transformers \u8fdb\u884c rule-based reasoning\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u5982\u56fe 4 \u6240\u793a\uff0cRFFT \u5728\u8f93\u5165\u4e2d\u63d0\u4f9b\u663e\u5f0f\u7684\u89c4\u5219\uff0c\u7136\u540e\u6307\u5bfc transformers \u9010\u884c\u5730\u56de\u5fc6\u89c4\u5219\u5e76\u6267\u884c\u3002<\/section>\n<section><\/section>\n<section>\u5b9e\u9a8c\u4e2d\uff0c\u4f5c\u8005\u5728 1-5 \u4f4d\u6570\u7684\u52a0\u6cd5\u4e0a\u4f7f\u7528\u56fe 4 \u6240\u793a\u7684\u4e09\u79cd\u65b9\u6cd5\u5bf9 Llama-2-7B \u548c GPT-3.5-turbo \u8fdb\u884c\u4e86 fine-tune\uff0c\u5e76\u5206\u522b\u5728 6-9 \u4e0e 6-15 \u4f4d\u6570\u7684 OOD \u7684\u52a0\u6cd5\u4efb\u52a1\u4e0a\u8fdb\u884c\u4e86\u6d4b\u8bd5\u3002<\/section>\n<section><\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-92af50f1926e21426b0876b48b84c729.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/frc-92af50f1926e21426b0876b48b84c729.png\"><\/a><\/p>\n<section><em>\u56fe 5\uff1aLlama-2-7b \u548c GPT-3.5-turbo<\/em><\/section>\n<section><\/section>\n<section>\u7531\u56fe 5 \u53ef\u89c1\uff0cRFFT \u5728\u957f\u5ea6\u6cdb\u5316\u7684\u6027\u80fd\u4e0a\u660e\u663e\u8d85\u8fc7\u4e86 direct answer \u548c scratchpad \u8fd9\u4e24\u79cd\u5fae\u8c03\u65b9\u6cd5\u3002\u4f7f\u7528<strong>\u00a0Llama-2-7B<\/strong> \u8fdb\u884c RFFT \u65f6\uff0c\u6a21\u578b\u5728 <strong>9 \u4f4d\u6570\u7684\u52a0\u6cd5\u4e2d\u4e5f\u80fd\u4fdd\u6301 91.1% \u7684\u51c6\u786e\u7387<\/strong>\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u4f7f\u7528 scratchpad \u8fdb\u884c fine-tune \u7684\u6a21\u578b\u5728\u6b64\u4efb\u52a1\u4e2d\u7684\u51c6\u786e\u7387\u4e0d\u5230 40%\u3002\u5bf9\u4e8e\u62e5\u6709\u66f4\u5f3a\u7684\u57fa\u7840\u80fd\u529b\u7684 <strong>GPT-3.5-turbo<\/strong>\uff0cRFFT \u4f7f\u5176\u80fd\u591f\u60ca\u4eba\u5730\u6cdb\u5316\u5230\u6d89\u53ca\u591a\u8fbe 12 \u4f4d\u6570\u5b57\u7684\u52a0\u6cd5\uff0c\u5c3d\u7ba1<strong>\u53ea\u5728 1-5 \u4f4d\u52a0\u6cd5\u4e0a\u8bad\u7ec3\u4e86 100 \u4e2a\u8bad\u7ec3\u6837\u672c<\/strong>\uff0c\u4f46\u5176<strong>\u5728 12 \u4f4d\u6570\u7684\u52a0\u6cd5\u4e0a\u4ecd\u7136\u4fdd\u6301\u4e86 95% \u4ee5\u4e0a\u7684\u51c6\u786e\u7387<\/strong>\u3002\u8fd9\u4e5f\u663e\u8457\u8d85\u8fc7\u4e86 scratchpad \u548c direct answer \u7684\u7ed3\u679c\u3002\u8fd9\u4e9b\u7ed3\u679c\u7a81\u51fa\u663e\u793a\u4e86 RFFT \u5728\u5f15\u5bfc transformers \u8fdb\u884c rule-based reasoning \u65b9\u9762\u7684\u6709\u6548\u6027\uff0c\u5e76\u5c55\u73b0\u4e86\u5176\u5728\u589e\u5f3a\u6a21\u578b\u957f\u5ea6\u6cdb\u5316\u80fd\u529b\u65b9\u9762\u7684\u6f5c\u529b\u3002<\/section>\n<section><\/section>\n<section>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u4f5c\u8005\u53d1\u73b0 Llama-2-7B \u9700\u8981 150,000 \u4e2a\u8bad\u7ec3\u6837\u672c\u624d\u80fd\u6cdb\u5316\u5230 9 \u4f4d\u6570\u5b57\uff0c\u800c GPT-3.5 \u4ec5\u7528 100 \u4e2a\u8bad\u7ec3\u6837\u672c\u5c31\u80fd\u638c\u63e1\u89c4\u5219\u5e76\u6cdb\u5316\u5230 12 \u4f4d\u6570\u5b57\u3002\u56e0\u6b64\uff0c\u89c4\u5219\u9075\u5faa\uff08rule-following\uff09\u53ef\u80fd\u662f\u4e00\u79cd meta learning ability\u2014\u2014 \u5b83\u53ef\u80fd\u901a\u8fc7\u5728\u591a\u6837\u5316\u7684 rule-following \u6570\u636e\u4e0a\u8fdb\u884c\u8bad\u7ec3\u800c\u5f97\u5230\u52a0\u5f3a\uff0c\u5e76\u53ef\u66f4\u5bb9\u6613\u5730\u8fc1\u79fb\u5230\u65b0\u7684\u672a\u5728\u8bad\u7ec3\u96c6\u4e2d\u89c1\u8fc7\u7684\u9886\u57df\u4e2d\u3002\u76f8\u5e94\u5730\uff0c\u57fa\u7840\u6a21\u578b\u8d8a\u5f3a\u5927\uff0c\u7406\u89e3\u5e76\u5b66\u4e60\u65b0\u7684\u89c4\u5219\u5c31\u8d8a\u5bb9\u6613\u3002\u8fd9\u4e5f\u4e0e\u4eba\u7c7b\u5b66\u4e60\u65b0\u89c4\u5219\u7684\u80fd\u529b\u76f8\u7b26 \u2014\u2014 \u7ecf\u9a8c\u4e30\u5bcc\u7684\u5b66\u4e60\u8005\u901a\u5e38\u5b66\u4e60\u5f97\u66f4\u5feb\u3002<\/section>\n<section><\/section>\n<section><strong>\u603b\u7ed3<\/strong><\/section>\n<section><\/section>\n<section>\u672c\u6587\u63a2\u7a76\u4e86 transformers \u5728\u505a\u6570\u5b66\u63a8\u7406\u95ee\u9898\u65f6\u7a76\u7adf\u662f\u91c7\u7528 case-based reasoning \u8fd8\u662f rule-based reasoning\uff0c\u5e76\u63d0\u51fa\u4e86 Rule-Following Fine-Tuning \u7684\u89c4\u5219\u9075\u5faa\u5fae\u8c03\u65b9\u6cd5\u6765\u663e\u5f0f\u5730\u6559\u4f1a transformers \u8fdb\u884c rule-based reasoning\u3002RFFT \u5c55\u73b0\u4e86\u5f3a\u5927\u7684\u957f\u5ea6\u6cdb\u5316\u80fd\u529b\uff0c\u5e76\u6709\u6f5c\u529b\u5168\u9762\u63d0\u5347 LLMs \u7684\u63a8\u7406\u80fd\u529b\u3002<\/section>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-06-29\" target=\"_blank\">ICML 2024\uff5cTransformer\u7a76\u7adf\u5982\u4f55\u63a8\u7406\uff1f\u57fa\u4e8e\u6837\u4f8b\u8fd8\u662f\u57fa\u4e8e\u89c4\u5219<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:ICML 2024\uff5cT [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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