{"id":39882,"date":"2025-04-04T03:02:51","date_gmt":"2025-04-03T19:02:51","guid":{"rendered":"https:\/\/17aitech.com\/?p=39882"},"modified":"2025-04-04T03:02:51","modified_gmt":"2025-04-03T19:02:51","slug":"openai%e7%9a%84ai%e5%a4%8d%e7%8e%b0%e8%ae%ba%e6%96%87%e6%96%b0%e5%9f%ba%e5%87%86%ef%bc%8cclaude%e6%8b%bf%e4%ba%86%e7%ac%ac%e4%b8%80%e5%90%8d","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39882","title":{"rendered":"OpenAI\u7684AI\u590d\u73b0\u8bba\u6587\u65b0\u57fa\u51c6\uff0cClaude\u62ff\u4e86\u7b2c\u4e00\u540d"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-04-03-5\" target=\"_blank\">OpenAI\u7684AI\u590d\u73b0\u8bba\u6587\u65b0\u57fa\u51c6\uff0cClaude\u62ff\u4e86\u7b2c\u4e00\u540d<\/a><\/p>\n<blockquote>\n<p>\u5927\u6a21\u578b\u80fd\u5199\u51fa ICML Spotlight \u8bba\u6587\u5417\uff1f<\/p>\n<\/blockquote>\n<p>\u8fd1\u5e74\u6765\uff0cAI \u6b63\u4ece\u79d1\u7814\u8f85\u52a9\u5de5\u5177\u8715\u53d8\u4e3a\u521b\u65b0\u5f15\u64ce\uff1a\u4ece DeepMind \u7834\u89e3\u86cb\u767d\u8d28\u6298\u53e0\u96be\u9898\u7684 AlphaFold\uff0c\u5230 GPT \u7cfb\u5217\u6a21\u578b\u5c55\u73b0\u6587\u732e\u7efc\u8ff0\u4e0e\u6570\u5b66\u63a8\u7406\u80fd\u529b\uff0c\u4eba\u5de5\u667a\u80fd\u6b63\u9010\u6b65\u7a81\u7834\u4eba\u7c7b\u8ba4\u77e5\u8fb9\u754c\u3002<\/p>\n<p>\u4eca\u5e74 3 \u6708 12 \u65e5\uff0cSakana AI \u5ba3\u5e03\u4ed6\u4eec\u63a8\u51fa\u7684 AI Scientist-v2 \u901a\u8fc7\u4e86 ICLR \u4f1a\u8bae\u4e00\u4e2a\u7814\u8ba8\u4f1a\u7684\u540c\u884c\u8bc4\u5ba1\u8fc7\u7a0b\u3002\u8fd9\u662f AI \u79d1\u5b66\u5bb6\u5199\u51fa\u7684\u9996\u7bc7\u901a\u8fc7\u540c\u884c\u8bc4\u5ba1\u7684\u79d1\u7814\u8bba\u6587\uff01<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-8813b08953f6bb2294f6c5ad30faf8ff.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-8813b08953f6bb2294f6c5ad30faf8ff.png\"><\/a><\/section>\n<p>\u8fd9\u4e00\u91cc\u7a0b\u7891\u4e8b\u4ef6\u6807\u5fd7\u7740 AI \u5728\u79d1\u7814\u9886\u57df\u7684\u7a81\u7834\uff0c\u540c\u65f6\u4eba\u4eec\u4e5f\u5728\u8fdb\u4e00\u6b65\u63a2\u7d22 AI \u667a\u80fd\u4f53\u7684\u81ea\u4e3b\u7814\u7a76\u80fd\u529b\u3002<\/p>\n<p>4 \u6708 3 \u65e5\uff0cOpenAI \u63a8\u51fa\u4e86 PaperBench\uff08\u8bba\u6587\u57fa\u51c6\u6d4b\u8bd5\uff09\uff0c\u8fd9\u662f\u4e00\u4e2a\u7528\u4e8e\u8bc4\u4f30 AI \u667a\u80fd\u4f53\u81ea\u4e3b\u590d\u73b0\u524d\u6cbf\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u80fd\u529b\u7684\u57fa\u51c6\u6d4b\u8bd5\u7cfb\u7edf\u3002\u5982\u679c\u5927\u6a21\u578b\u667a\u80fd\u4f53\u5177\u5907\u4e86\u81ea\u52a8\u5199 AI \/ \u673a\u5668\u5b66\u4e60\u7814\u7a76\u8bba\u6587\u7684\u80fd\u529b\uff0c\u65e2\u53ef\u80fd\u52a0\u901f\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u53d1\u5c55\uff0c\u540c\u65f6\u4e5f\u9700\u8981\u5ba1\u614e\u8bc4\u4f30\u4ee5\u786e\u4fdd AI \u80fd\u529b\u7684\u5b89\u5168\u53d1\u5c55\u3002<\/p>\n<p>PaperBench \u5728\u591a\u4e2a\u91cd\u8981\u7684 AI \u5b89\u5168\u6846\u67b6\u4e2d\u53d1\u6325\u8bc4\u4f30\u4f5c\u7528\uff1a<\/p>\n<ul>\n<li>\n<p>\u4f5c\u4e3a OpenAI \u51c6\u5907\u6846\u67b6\uff08OpenAI Preparedness Framework\uff09\u4e2d\u8bc4\u4f30\u6a21\u578b\u81ea\u4e3b\u6027\u7684\u6807\u51c6<\/p>\n<\/li>\n<li>\n<p>\u7528\u4e8e Anthropic \u8d1f\u8d23\u4efb\u6269\u5c55\u653f\u7b56\uff08Responsible Scaling Policy\uff09\u4e2d\u7684\u81ea\u4e3b\u80fd\u529b\u8bc4\u4f30<\/p>\n<\/li>\n<li>\n<p>\u5e94\u7528\u4e8e\u8c37\u6b4c DeepMind \u524d\u6cbf\u5b89\u5168\u6846\u67b6\uff08Frontier Safety Framework\uff09\u4e2d\u7684\u673a\u5668\u5b66\u4e60\u7814\u53d1\u8bc4\u4f30<\/p>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-24c547ba3b71348b092fdea7bc5b1b87.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-24c547ba3b71348b092fdea7bc5b1b87.png\"><\/a><\/section>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aPaperBench: Evaluating AI\u2019s Ability to Replicate AI Research<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/cdn.openai.com\/papers\/22265bac-3191-44e5-b057-7aaacd8e90cd\/paperbench.pdf<\/p>\n<\/li>\n<li>\n<p>\u4ee3\u7801\u5730\u5740\uff1ahttps:\/\/github.com\/openai\/preparedness\/tree\/main\/project\/paperbench<\/p>\n<\/li>\n<\/ul>\n<p>\u7814\u7a76\u56e2\u961f\u6784\u5efa\u4e86\u4e00\u4e2a\u6d4b\u8bd5\u73af\u5883\uff0c\u7528\u4e8e\u8bc4\u4f30\u5177\u6709\u81ea\u4e3b\u7f16\u7a0b\u80fd\u529b\u7684 AI \u667a\u80fd\u4f53\u3002\u5728\u8be5\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u7814\u7a76\u56e2\u961f\u8981\u6c42\u667a\u80fd\u4f53\u590d\u73b0\u673a\u5668\u5b66\u4e60\u7814\u7a76\u8bba\u6587\u4e2d\u7684\u5b9e\u9a8c\u7ed3\u679c\u3002\u5b8c\u6574\u7684\u590d\u73b0\u6d41\u7a0b\u5305\u62ec\u8bba\u6587\u7406\u89e3\u3001\u4ee3\u7801\u5e93\u5f00\u53d1\u4ee5\u53ca\u5b9e\u9a8c\u6267\u884c\u4e0e\u8c03\u8bd5\u3002\u8fd9\u7c7b\u590d\u73b0\u4efb\u52a1\u5177\u6709\u8f83\u9ad8\u96be\u5ea6\uff0c\u5373\u4fbf\u5bf9\u4eba\u7c7b\u4e13\u5bb6\u800c\u8a00\u4e5f\u9700\u8981\u6570\u5929\u65f6\u95f4\u5b8c\u6210\u3002<\/p>\n<p><strong>\u6d4b\u8bd5\u57fa\u51c6\u9009\u53d6\u4e86\u673a\u5668\u5b66\u4e60\u9876\u4f1a ICML 2024 \u7684 20 \u7bc7\u5165\u9009\u8bba\u6587\uff0c\u8fd8\u90fd\u662f Spotlight \u548c Oral \u7684\u3002<\/strong>\u8fd9\u4e9b\u8bba\u6587\u8986\u76d6\u4e86 12 \u4e2a\u4e0d\u540c\u7684\u7814\u7a76\u4e3b\u9898\uff0c\u5305\u62ec deep reinforcement learning\u3001robustness \u548c probabilistic methods \u7b49\u3002\u6bcf\u7bc7\u8bba\u6587\u90fd\u914d\u5907\u4e86\u8be6\u7ec6\u7684\u8bc4\u5206\u6807\u51c6\uff0c\u5171\u8ba1 8316 \u4e2a\u53ef\u72ec\u7acb\u8bc4\u4f30\u7684\u590d\u73b0\u6210\u679c\u3002\u4e3a\u786e\u4fdd\u8bc4\u4f30\u8d28\u91cf\uff0cPaperBench \u4e2d\u7684\u8bc4\u5206\u6807\u51c6\u5747\u4e0e\u539f\u8bba\u6587\u4f5c\u8005\u534f\u4f5c\u5236\u5b9a\uff0c\u5e76\u91c7\u7528\u5c42\u7ea7\u7ed3\u6784\u8bbe\u8ba1\uff0c\u4f7f\u590d\u73b0\u8fdb\u5ea6\u53ef\u4ee5\u5728\u66f4\u7ec6\u7c92\u5ea6\u4e0a\u8fdb\u884c\u8861\u91cf\u3002<\/p>\n<p>\u9274\u4e8e\u673a\u5668\u5b66\u4e60\u8bba\u6587\u7684\u590d\u6742\u6027\uff0c\u4eba\u7c7b\u4e13\u5bb6\u8bc4\u4f30\u5355\u6b21\u590d\u73b0\u5c1d\u8bd5\u5f80\u5f80\u9700\u8981\u6570\u5341\u5c0f\u65f6\u3002\u4e3a\u63d0\u9ad8\u8bc4\u4f30\u6548\u7387\uff0c\u7814\u7a76\u56e2\u961f\u5f00\u53d1\u4e86\u57fa\u4e8e LLM \u7684\u81ea\u52a8\u8bc4\u5224\u7cfb\u7edf\uff0c\u5e76\u8bbe\u8ba1\u4e86 JudgeEval \u8f85\u52a9\u8bc4\u4f30\u6846\u67b6\uff0c\u7528\u4e8e\u5c06\u81ea\u52a8\u8bc4\u5224\u7ed3\u679c\u4e0e\u4eba\u7c7b\u4e13\u5bb6\u8bc4\u5224\u7684\u91d1\u6807\u6570\u636e\u96c6\u8fdb\u884c\u5bf9\u6bd4\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u5b9a\u5236\u6846\u67b6\u7684 o3-mini-high \u8bc4\u5224\u5668\u8868\u73b0\u6700\u4f73\uff0c\u5728\u8f85\u52a9\u8bc4\u4f30\u4e2d\u83b7\u5f97 0.83 \u7684 F1 \u5206\u6570\uff0c\u8bc1\u660e\u5176\u53ef\u4f5c\u4e3a\u4eba\u7c7b\u8bc4\u5224\u7684\u53ef\u9760\u66ff\u4ee3\u65b9\u6848\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-b1e9c63044e367a795e31abce79a613c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-b1e9c63044e367a795e31abce79a613c.png\"><\/a><\/section>\n<p>\u7814\u7a76\u8868\u660e\uff0c\u667a\u80fd\u4f53\u5728\u590d\u73b0\u673a\u5668\u5b66\u4e60\u7814\u7a76\u8bba\u6587\u65b9\u9762\u5c55\u73b0\u51fa\u4e86\u4e0d\u5bb9\u5ffd\u89c6\u7684\u80fd\u529b\u3002Claude 3.5 Sonnet \uff08\u6700\u65b0\u7248\uff09\u5728\u914d\u5907\u57fa\u7840\u4ee3\u7406\u6846\u67b6\u7684\u60c5\u51b5\u4e0b\uff0c\u4e8e PaperBench \u57fa\u51c6\u6d4b\u8bd5\u4e2d\u83b7\u5f97\u4e86 21.0% \u7684\u5f97\u5206\u3002<\/p>\n<p>\u7814\u7a76\u56e2\u961f\u9009\u53d6\u4e86 3 \u7bc7\u8bba\u6587\u7ec4\u6210\u7684\u6d4b\u8bd5\u5b50\u96c6\u8fdb\u884c\u6df1\u5165\u8bc4\u4f30\uff0c\u4ee5\u673a\u5668\u5b66\u4e60\u535a\u58eb\u7684\u8868\u73b0\u4f5c\u4e3a\u4eba\u7c7b\u57fa\u51c6\uff08\u91c7\u7528 3 \u6b21\u6d4b\u8bd5\u4e2d\u7684\u6700\u4f18\u6210\u7ee9\uff09\u3002\u5728 48 \u5c0f\u65f6\u7684\u6d4b\u8bd5\u65f6\u95f4\u5185\uff0c\u4eba\u7c7b\u57fa\u51c6\u8fbe\u5230\u4e86 41.4% \u7684\u5f97\u5206\uff0c\u800c GPT-4\uff08o1\uff09\u5728\u76f8\u540c\u5b50\u96c6\u4e0a\u83b7\u5f97\u4e86 26.6% \u7684\u5f97\u5206\u3002\u6b64\u5916\uff0c\u7814\u7a76\u56e2\u961f\u8fd8\u5f00\u53d1\u4e86\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u8bc4\u4f30\u7248\u672c \u2014\u2014PaperBench Code-Dev\uff0c\u5728\u8be5\u7248\u672c\u4e2d\uff0cGPT-4 \u7684\u8868\u73b0\u63d0\u5347\u81f3 43.4% \u7684\u5f97\u5206\u3002<\/p>\n<p><strong>PaperBench<\/strong><\/p>\n<p><strong>\u4efb\u52a1<\/strong><\/p>\n<p>\u5bf9\u4e8e PaperBench \u4e2d\u7684\u6bcf\u4e2a\u6837\u672c\uff0c\u53d7\u8bc4\u4f30\u7684\u667a\u80fd\u4f53\u4f1a\u6536\u5230\u8bba\u6587\u53ca\u5176\u8865\u5145\u8bf4\u660e\u3002<\/p>\n<p>\u5728\u8fd9\u91cc\uff0c\u667a\u80fd\u4f53\u9700\u8981\u63d0\u4ea4\u4e00\u4e2a\u4ee3\u7801\u4ed3\u5e93\uff0c\u5176\u4e2d\u5305\u542b\u590d\u73b0\u8bba\u6587\u5b9e\u9a8c\u7ed3\u679c\u6240\u9700\u7684\u5168\u90e8\u4ee3\u7801\u3002\u8be5\u4ed3\u5e93\u6839\u76ee\u5f55\u5fc5\u987b\u5305\u542b\u4e00\u4e2a reproduce.sh \u6587\u4ef6\uff0c\u4f5c\u4e3a\u6267\u884c\u6240\u6709\u5fc5\u8981\u4ee3\u7801\u4ee5\u590d\u73b0\u8bba\u6587\u7ed3\u679c\u7684\u5165\u53e3\u70b9\u3002<\/p>\n<p>\u5982\u679c reproduce.sh \u80fd\u591f\u590d\u73b0\u8bba\u6587\u4e2d\u62a5\u544a\u7684\u5b9e\u9a8c\u7ed3\u679c\uff0c\u5219\u89c6\u4e3a\u6210\u529f\u590d\u73b0\u8be5\u8bba\u6587\u3002\u00a0<\/p>\n<p>\u8be5\u6570\u636e\u96c6\u5305\u542b\u4e86\u7528\u4e8e\u5b9a\u4e49\u6bcf\u7bc7\u8bba\u6587\u6210\u529f\u590d\u73b0\u6240\u9700\u5177\u4f53\u7ed3\u679c\u7684\u8bc4\u5206\u6807\u51c6\u3002\u4e3a\u9632\u6b62\u8fc7\u5ea6\u62df\u5408\uff0c\u667a\u80fd\u4f53\u5728\u5c1d\u8bd5\u8fc7\u7a0b\u4e2d\u4e0d\u4f1a\u770b\u5230\u8bc4\u5206\u6807\u51c6\uff0c\u800c\u662f\u9700\u8981\u4ece\u8bba\u6587\u4e2d\u63a8\u65ad\u51fa\u9700\u8981\u590d\u73b0\u7684\u5185\u5bb9\u3002\u00a0<\/p>\n<p>\u91cd\u8981\u7684\u662f\uff0c\u8be5\u8bc4\u4f30\u7981\u6b62\u667a\u80fd\u4f53\u4f7f\u7528\u6216\u67e5\u770b\u8bba\u6587\u4f5c\u8005\u7684\u539f\u59cb\u4ee3\u7801\u5e93\uff08\u5982\u679c\u6709\u7684\u8bdd\uff09\u3002\u8fd9\u786e\u4fdd\u4e86\u8bc4\u4f30\u7684\u662f\u667a\u80fd\u4f53\u4ece\u96f6\u5f00\u59cb\u7f16\u7801\u548c\u6267\u884c\u590d\u6742\u5b9e\u9a8c\u7684\u80fd\u529b\uff0c\u800c\u4e0d\u662f\u4f7f\u7528\u73b0\u6709\u7814\u7a76\u4ee3\u7801\u7684\u80fd\u529b\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-1ec2f1ff8fe5dfa971846c623347415b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-1ec2f1ff8fe5dfa971846c623347415b.png\"><\/a><\/section>\n<p><strong>\u89c4\u5219<\/strong><\/p>\n<p>PaperBench \u7684\u8bbe\u8ba1\u5bf9\u667a\u80fd\u4f53\u6846\u67b6\u4fdd\u6301\u4e2d\u7acb\uff0c\u56e0\u6b64\u5bf9\u5176\u8fd0\u884c\u73af\u5883\u6ca1\u6709\u7279\u5b9a\u8981\u6c42\u3002\u4e0d\u8fc7\u4e3a\u786e\u4fdd\u516c\u5e73\u6bd4\u8f83\uff0c\u8be5\u57fa\u51c6\u6d4b\u8bd5\u5236\u5b9a\u4e86\u4ee5\u4e0b\u89c4\u5219\uff1a<\/p>\n<ul>\n<li>\n<p>\u667a\u80fd\u4f53\u53ef\u4ee5\u6d4f\u89c8\u4e92\u8054\u7f51\uff0c\u4f46\u4e0d\u5f97\u4f7f\u7528\u56e2\u961f\u4e3a\u6bcf\u7bc7\u8bba\u6587\u63d0\u4f9b\u7684\u9ed1\u540d\u5355\u4e2d\u5217\u51fa\u7684\u7f51\u7ad9\u8d44\u6e90\u3002\u6bcf\u7bc7\u8bba\u6587\u7684\u9ed1\u540d\u5355\u5305\u62ec\u4f5c\u8005\u81ea\u5df1\u7684\u4ee3\u7801\u4ed3\u5e93\u4ee5\u53ca\u4efb\u4f55\u5176\u4ed6\u5728\u7ebf\u590d\u73b0\u5b9e\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p>\u667a\u80fd\u4f53\u53ef\u4f7f\u7528\u7684\u8d44\u6e90\uff0c\u5982\u8fd0\u884c\u65f6\u95f4\u548c\u8ba1\u7b97\u8d44\u6e90\uff0c\u4e0d\u53d7\u4efb\u4f55\u9650\u5236\u3002\u4f46\u5efa\u8bae\u7814\u7a76\u4eba\u5458\u5728\u7ed3\u679c\u4e2d\u62a5\u544a\u5176\u5177\u4f53\u8bbe\u7f6e\u3002<\/p>\n<\/li>\n<li>\n<p>\u5f00\u53d1\u8005\u5e94\u4e3a\u667a\u80fd\u4f53\u63d0\u4f9b\u5fc5\u8981\u7684\u5728\u7ebf\u670d\u52a1 API \u5bc6\u94a5\uff08\u4f8b\u5982\u7528\u4e8e\u4e0b\u8f7d\u6570\u636e\u96c6\u7684 HuggingFace \u51ed\u8bc1\uff09\u3002\u83b7\u53d6\u5728\u7ebf\u8d26\u53f7\u8bbf\u95ee\u6743\u9650\u4e0d\u5c5e\u4e8e PaperBench \u610f\u5728\u8bc4\u4f30\u7684\u6280\u80fd\u8303\u7574\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u8bc4\u5206\u6807\u51c6<\/strong><\/p>\n<p>\u4e3a\u6bcf\u7bc7\u8bba\u6587\u5236\u5b9a\u8bc4\u5206\u6807\u51c6\u662f\u5f00\u53d1 PaperBench \u6700\u8017\u65f6\u7684\u90e8\u5206\u3002\u6bcf\u4efd\u8bc4\u5206\u6807\u51c6\u90fd\u662f OpenAI \u4e0e\u6bcf\u7bc7\u8bba\u6587\u7684\u4e00\u4f4d\u539f\u4f5c\u8005\u5408\u4f5c\u7f16\u5199\u7684\uff0c\u4ece\u9605\u8bfb\u8bba\u6587\u3001\u521d\u6b65\u521b\u5efa\u3001\u8bc4\u5206\u6807\u51c6\u5ba1\u67e5\u3001\u8fed\u4ee3\u5230\u6700\u7ec8\u7b7e\u6536\uff0c\u6bcf\u7bc7\u8bba\u6587\u9700\u8981\u6570\u5468\u65f6\u95f4\u3002<\/p>\n<p>\u6bcf\u4e2a\u8bc4\u5206\u6807\u51c6\u90fd\u4ee5\u6811\u7684\u5f62\u5f0f\u6784\u5efa\uff0c\u8be5\u6811\u6309\u5c42\u6b21\u5206\u89e3\u4e86\u590d\u73b0\u7ed9\u5b9a\u8bba\u6587\u6240\u9700\u7684\u4e3b\u8981\u7ed3\u679c\u3002\u4f8b\u5982\uff0c\u6839\u8282\u70b9\u4ee5\u9884\u671f\u7684\u6700\u9ad8\u7ea7\u522b\u7ed3\u679c\u5f00\u59cb\uff0c\u4f8b\u5982\u300c\u8bba\u6587\u7684\u6838\u5fc3\u8d21\u732e\u5df2\u88ab\u590d\u73b0\u300d\u3002\u7b2c\u4e00\u7ea7\u5206\u89e3\u53ef\u80fd\u4f1a\u4e3a\u6bcf\u4e2a\u6838\u5fc3\u8d21\u732e\u5f15\u5165\u4e00\u4e2a\u8282\u70b9\u3002\u6bcf\u4e2a\u8282\u70b9\u7684\u5b50\u8282\u70b9\u90fd\u4f1a\u66f4\u8be6\u7ec6\u5730\u4ecb\u7ecd\u5177\u4f53\u7ed3\u679c\uff0c\u4f8b\u5982\u300c\u5df2\u4f7f\u7528 B.1 \u8282\u4e2d\u7684\u8d85\u53c2\u6570\u5728\u6570\u636e\u96c6\u4e0a\u5bf9 gpt2-xl \u8fdb\u884c\u4e86\u5fae\u8c03\u300d\u3002<\/p>\n<p>\u91cd\u8981\u7684\u662f\uff0c\u6ee1\u8db3\u8282\u70b9\u7684\u6240\u6709\u5b50\u8282\u70b9\u8868\u793a\u7236\u8282\u70b9\u4e5f\u5df2\u5f97\u5230\u6ee1\u8db3\uff0c\u56e0\u6b64\u5bf9\u6811\u7684\u6240\u6709\u53f6\u8282\u70b9\u8fdb\u884c\u8bc4\u5206\u5c31\u8db3\u4ee5\u5168\u9762\u8bc4\u4f30\u6574\u4f53\u6210\u529f\u7387\u3002<\/p>\n<p>\u53f6\u8282\u70b9\u5177\u6709\u7cbe\u786e\u800c\u7ec6\u81f4\u7684\u8981\u6c42\u3002\u62e5\u6709\u8bb8\u591a\u7ec6\u81f4\u7684\u8981\u6c42\u4f7f\u6211\u4eec\u80fd\u591f\u5bf9\u90e8\u5206\u5c1d\u8bd5\u8fdb\u884c\u8bc4\u5206\uff0c\u5e76\u4f7f\u8bc4\u59d4\u66f4\u5bb9\u6613\u5bf9\u5355\u4e2a\u8282\u70b9\u8fdb\u884c\u8bc4\u5206\u3002\u4f5c\u8005\u4e0d\u65ad\u5206\u89e3\u8282\u70b9\uff0c\u76f4\u5230\u5b83\u4eec\u6240\u4ee3\u8868\u7684\u8981\u6c42\u8db3\u591f\u7cbe\u7ec6\uff0c\u4ee5\u81f3\u4e8e\u4f30\u8ba1\u4e13\u5bb6\u53ef\u4ee5\u5728\u4e0d\u5230 15 \u5206\u949f\u7684\u65f6\u95f4\u5185\u5ba1\u67e5\u4e00\u4efd\u63d0\u4ea4\u662f\u5426\u6ee1\u8db3\u8981\u6c42\uff08\u5047\u8bbe\u719f\u6089\u8be5\u8bba\u6587\uff09\u3002\u5728 PaperBench \u7684 20 \u7bc7\u8bba\u6587\u4e2d\u5171\u6709 8316 \u4e2a\u53f6\u8282\u70b9\u3002\u8868 2 \u663e\u793a\u4e86\u6bcf\u4e2a\u8bc4\u5206\u6807\u51c6\u4e2d\u7684\u8282\u70b9\u603b\u6570\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-dbd48a3a38a08d73a001cc83f5144c2e.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-dbd48a3a38a08d73a001cc83f5144c2e.png\"><\/a><\/section>\n<p>\u6240\u6709\u8bc4\u5206\u6807\u51c6\u8282\u70b9\u4e5f\u90fd\u6709\u6743\u91cd\uff0c\u6bcf\u4e2a\u8282\u70b9\u7684\u6743\u91cd\u8868\u793a\u8be5\u8d21\u732e\u76f8\u5bf9\u4e8e\u5176\u5144\u5f1f\u8282\u70b9\u7684\u91cd\u8981\u6027\uff0c\u800c\u4e0d\u4e00\u5b9a\u662f\u8282\u70b9\u7684\u5b9e\u65bd\u96be\u5ea6\u3002\u52a0\u6743\u8282\u70b9\u5956\u52b1\u5728\u590d\u73b0\u65f6\u4f18\u5148\u8003\u8651\u8bba\u6587\u4e2d\u66f4\u91cd\u8981\u7684\u90e8\u5206\u3002<\/p>\n<p><strong>\u7528\u5927\u6a21\u578b\u5224\u65ad<\/strong><\/p>\n<p>\u5728\u521d\u6b65\u5b9e\u9a8c\u4e2d\uff0cOpenAI \u53d1\u73b0\u4f7f\u7528\u4e13\u5bb6\u8fdb\u884c\u624b\u52a8\u8bc4\u5206\u6bcf\u7bc7\u8bba\u6587\u9700\u8981\u82b1\u8d39\u6570\u5341\u5c0f\u65f6\uff0c\u56e0\u6b64\u5bf9\u4e8e PaperBench \u7684\u5b9e\u9645\u5e94\u7528\u800c\u8a00\uff0c\u91c7\u7528\u81ea\u52a8\u5316\u65b9\u5f0f\u8fdb\u884c\u8bc4\u4f30\u662f\u5fc5\u8981\u7684\u3002<\/p>\n<p>\u4e3a\u4e86\u5bf9 PaperBench \u63d0\u4ea4\u7684\u5185\u5bb9\u8fdb\u884c\u89c4\u6a21\u8bc4\u4f30\uff0c\u4f5c\u8005\u5f00\u53d1\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u57fa\u4e8e LLM \u7684\u8bc4\u5224\u5668 SimpleJudge\uff0c\u7136\u540e\u521b\u5efa\u4e86\u8f85\u52a9\u8bc4\u4f30 JudgeEval \u4ee5\u8bc4\u4f30\u8bc4\u5224\u5668\u7684\u8868\u73b0\u3002<\/p>\n<p>AI \u7684\u8bc4\u59d4\u5b9e\u73b0\u88ab\u79f0\u4e3a\u300cSimpleJudge\u300d\uff0c\u7ed9\u5b9a\u4e00\u4efd\u63d0\u4ea4\u5185\u5bb9\uff0cPaperBench \u7684 AI \u8bc4\u59d4\u5c06\u72ec\u7acb\u5730\u5bf9\u8bc4\u5206\u6807\u51c6\u4e2d\u7684\u6bcf\u4e2a\u53f6\u8282\u70b9\u8fdb\u884c\u8bc4\u5206\u3002\u5bf9\u4e8e\u7279\u5b9a\u7684\u53f6\u8282\u70b9\uff0c\u8bc4\u59d4\u5c06\u6536\u5230\u8bba\u6587\u7684 Markdown\u3001\u5b8c\u6574\u7684\u8bc4\u5206\u6807\u51c6 JSON\u3001\u53f6\u8282\u70b9\u7684\u8981\u6c42\u548c\u63d0\u4ea4\u5185\u5bb9\u3002<\/p>\n<p>PaperBench \u4f7f\u7528 OpenAI \u7684 o3-mini \u4f5c\u4e3a\u8bc4\u59d4\u7684\u540e\u7aef\u6a21\u578b\uff0c\u9884\u4f30\u5bf9\u5355\u4e2a\u63d0\u4ea4\u5185\u5bb9\u8fdb\u884c\u8bc4\u5206\u7684\u6210\u672c\u7ea6\u4e3a 66 \u7f8e\u5143\uff08OpenAI API \u79ef\u5206\uff09\u3002\u5bf9\u4e8e PaperBench Code-Dev\uff0c\u6210\u672c\u53ef\u4ee5\u964d\u81f3\u6bcf\u7bc7\u8bba\u6587\u7ea6 10 \u7f8e\u5143\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-097d0482ef7cb840a012bc92c0e70ee1.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-097d0482ef7cb840a012bc92c0e70ee1.png\"><\/a><\/section>\n<p><strong>\u6d4b\u8bd5\u7ed3\u679c<\/strong><\/p>\n<p>OpenAI \u57fa\u4e8e\u5168\u90e8 20 \u7bc7\u8bba\u6587\u8bc4\u4f30\u4e86 GPT-4o\u3001o1\u3001o3-mini\u3001DeepSeek-R1\u3001Claude 3.5 Sonnet\uff08\u65b0\u7248\u672c\uff09\u548c Gemini 2.0 Flash \u51e0\u79cd\u5927\u6a21\u578b\uff0c\u6bcf\u7bc7\u8bba\u6587\u8bc4\u4f30\u4e86 3 \u6b21\u3002<\/p>\n<p>\u8868 4 \u5217\u51fa\u4e86\u6bcf\u4e2a\u6a21\u578b\u7684\u5e73\u5747\u590d\u73b0\u5206\u6570\u3002<strong>\u53ef\u89c1 Claude 3.5 Sonnet \u7684\u8868\u73b0\u4e0d\u9519\uff0c\u5f97\u5206\u4e3a 21.0%\u3002OpenAI o1 \u8868\u73b0\u8f83\u5dee\uff0c\u5f97\u5206\u4e3a 13.2%\uff0c\u5176\u4ed6\u6a21\u578b\u5219\u8868\u73b0\u4e0d\u4f73\uff0c\u5f97\u5206\u4f4e\u4e8e 10%\u3002<\/strong><\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-2c3f253c235d77de6d6c93bb41be8d3a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-2c3f253c235d77de6d6c93bb41be8d3a.png\"><\/a><\/section>\n<p>\u68c0\u67e5\u667a\u80fd\u4f53\u5de5\u4f5c\u65e5\u5fd7\u53ef\u4ee5\u53d1\u73b0\uff0c\u9664 Claude 3.5 Sonnet \u5916\uff0c\u5176\u4ed6\u6240\u6709\u6a21\u578b\u7ecf\u5e38\u4f1a\u63d0\u524d\u7ed3\u675f\uff0c\u58f0\u79f0\u81ea\u5df1\u8981\u4e48\u5df2\u7ecf\u5b8c\u6210\u4e86\u6574\u4e2a\u4eff\u5199\uff0c\u8981\u4e48\u9047\u5230\u4e86\u65e0\u6cd5\u89e3\u51b3\u7684\u95ee\u9898\u3002\u6240\u6709\u667a\u80fd\u4f53\u90fd\u672a\u80fd\u5236\u5b9a\u5728\u6709\u9650\u65f6\u95f4\u5185\u590d\u73b0\u8bba\u6587\u7684\u6700\u4f18\u7b56\u7565\u3002\u53ef\u4ee5\u89c2\u5bdf\u5230 o3-mini \u7ecf\u5e38\u5728\u5de5\u5177\u4f7f\u7528\u65b9\u9762\u9047\u5230\u56f0\u96be\u3002<\/p>\n<p>\u8fd9\u4e9b\u60c5\u51b5\u8868\u660e\u5f53\u524d\u6a21\u578b\u5728\u6267\u884c\u957f\u671f\u4efb\u52a1\u65b9\u9762\u5b58\u5728\u5f31\u70b9\uff1b\u5c3d\u7ba1\u5927\u6a21\u578b\u5728\u5236\u5b9a\u548c\u7f16\u5199\u591a\u6b65\u9aa4\u8ba1\u5212\u65b9\u9762\u8868\u73b0\u51fa\u8db3\u591f\u7684\u80fd\u529b\uff0c\u4f46\u5b9e\u9645\u4e0a\u672a\u80fd\u91c7\u53d6\u4e00\u7cfb\u5217\u884c\u52a8\u6765\u6267\u884c\u8be5\u8ba1\u5212\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ee30f70d103e4f62957188205e99337a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ee30f70d103e4f62957188205e99337a.png\"><\/a><\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-58ae2f08bb012526e01d1efb865606df.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-58ae2f08bb012526e01d1efb865606df.png\"><\/a><\/section>\n<p>OpenAI \u76f8\u4fe1\uff0cPaperBench \u57fa\u51c6\u5c06\u4f1a\u63a8\u52a8\u672a\u6765\u5927\u6a21\u578b\u80fd\u529b\u7ee7\u7eed\u4e0a\u5347\u3002<\/p>\n<p><sup>\u53c2\u8003\u5185\u5bb9\uff1a<\/sup><\/p>\n<p><sup>https:\/\/openai.com\/index\/paperbench\/<\/sup><\/p>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-04-03-5\" target=\"_blank\">OpenAI\u7684AI\u590d\u73b0\u8bba\u6587\u65b0\u57fa\u51c6\uff0cClaude\u62ff\u4e86\u7b2c\u4e00\u540d<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:OpenAI\u7684AI\u590d\u73b0 [&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 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