{"id":3551,"date":"2025-03-17T16:44:18","date_gmt":"2025-03-17T08:44:18","guid":{"rendered":"https:\/\/www.ihub1.com\/?p=3551"},"modified":"2025-03-17T16:47:10","modified_gmt":"2025-03-17T08:47:10","slug":"%e8%bf%81%e7%a7%bbdeepseek-r1%e5%90%8c%e6%ac%be%e7%ae%97%e6%b3%95%ef%bc%8c%e5%b0%8f%e7%b1%b3%e8%ae%a97b%e6%a8%a1%e5%9e%8b%e7%99%bb%e9%a1%b6%e9%9f%b3%e9%a2%91%e7%90%86%e8%a7%a3%e6%8e%a8%e6%96%admmau","status":"publish","type":"post","link":"https:\/\/www.ihub1.com\/index.php\/2025\/03\/17\/%e8%bf%81%e7%a7%bbdeepseek-r1%e5%90%8c%e6%ac%be%e7%ae%97%e6%b3%95%ef%bc%8c%e5%b0%8f%e7%b1%b3%e8%ae%a97b%e6%a8%a1%e5%9e%8b%e7%99%bb%e9%a1%b6%e9%9f%b3%e9%a2%91%e7%90%86%e8%a7%a3%e6%8e%a8%e6%96%admmau\/","title":{"rendered":"\u8fc1\u79fbDeepSeek-R1\u540c\u6b3e\u7b97\u6cd5\uff0c\u5c0f\u7c73\u8ba97B\u6a21\u578b\u767b\u9876\u97f3\u9891\u7406\u89e3\u63a8\u65adMMAU\u699c\u5355"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3551\" class=\"elementor elementor-3551\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9be8215 e-flex e-con-boxed e-con e-parent\" data-id=\"9be8215\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4fdfb5b elementor-widget elementor-widget-text-editor\" data-id=\"4fdfb5b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>7B \u5c0f\u6a21\u578b +3.8 \u4e07\u6761\u8bad\u7ec3\u6570\u636e\uff0c\u5c31\u80fd\u8ba9\u97f3\u9891\u7406\u89e3\u548c\u63a8\u65ad\u8bc4\u6d4b\u57fa\u51c6 MMAU \u699c\u5355\u738b\u5ea7\u6613\u4e3b\uff1f<\/p><p><strong>\u53d7\u5230 DeepSeek-R1 \u4e2d\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u7684\u542f\u53d1<\/strong>\uff0c\u5c0f\u7c73\u5927\u6a21\u578b\u56e2\u961f\u5bf9\u963f\u91cc\u7684 Qwen2-Audio-7B \u6a21\u578b\u8fdb\u884c\u4e86\u5fae\u8c03\u3002<\/p><p>\u7ed3\u679c\u6a21\u578b\u5728 MMAU \u4e0a\u7684\u51c6\u786e\u7387\u4ece 49.2% \u63d0\u5347\u5230\u4e86 64.5%\uff08\u6da8\u5e45 31%\uff09\uff0c\u6bd4\u4ee5\u524d\u9738\u699c\u7684 GPT-4o \u8fd8\u9ad8\u51fa\u8fd1 10 \u4e2a\u767e\u5206\u70b9\u3002<\/p><p>MMAU \u662f\u4e00\u4e2a\u7531\u4e00\u4e07\u6761\u6db5\u76d6\u8bed\u97f3\u3001\u73af\u5883\u58f0\u548c\u97f3\u4e50\u7684\u97f3\u9891\u6837\u672c\u6784\u6210\u7684\u8bc4\u6d4b\u57fa\u51c6\uff0c\u96be\u5ea6\u975e\u5e38\u9ad8\uff0c\u4eba\u7c7b\u4e13\u5bb6\u7684\u6210\u7ee9\u4e3a 82.2%\u3002<\/p><div id=\"id_imagebox_0\" class=\"img_box \"><div class=\"content_img_div perview_img_div\"><img decoding=\"async\" id=\"img_0\" class=\"opacity_0\" src=\"https:\/\/zkres1.myzaker.com\/202503\/67d788398e9f094ee4329ae3_1024.jpg\" data-height=\"396\" data-width=\"830\" \/><\/div><\/div><p>\u6765\u81ea\u963f\u91cc\u7684<strong>Qwen2-Audio-7B<\/strong>\u6a21\u578b\u5728\u6b64\u8bc4\u6d4b\u96c6\u4e0a\u7684\u51c6\u786e\u7387\u4e3a 49.2%\uff0c\u7ecf\u5c0f\u7c73\u5927\u6a21\u578b\u56e2\u961f\u7528\u6e05\u534e\u5927\u5b66\u53d1\u5e03\u7684 AVQA \u6570\u636e\u96c6\uff0c\u4f7f\u7528 SFT \u5fae\u8c03\u540e\u63d0\u5347\u5230\u4e86 51.8%\u3002<\/p><p>\u8fd9\u6837\u7684\u63d0\u5347\u5e76\u4e0d\u660e\u663e\uff0c\u800c\u5f53\u5c0f\u7c73\u56e2\u961f\u9009\u62e9\u6539\u7528 DeepSeek-R1 \u7684 GRPO \u7b97\u6cd5\u65f6\uff0c\u53d1\u73b0\u83b7\u5f97\u4e86\u5de8\u5927\u7684\u6027\u80fd\u63d0\u5347\uff0c\u4e00\u4e3e\u8fbe\u5230\u4e86 MMAU \u7684\u65b0 SOTA\u3002<\/p><p>\u76ee\u524d\uff0c\u5c0f\u7c73\u5927\u6a21\u578b\u56e2\u961f\u5df2\u7ecf\u628a\u8bad\u7ec3\u4ee3\u7801\u3001\u6a21\u578b\u53c2\u6570\u5f00\u6e90\uff0c\u5e76\u63d0\u4f9b\u4e86\u6280\u672f\u62a5\u544a\u3001\u5728\u7ebf Demo\u3002<\/p><div id=\"id_imagebox_1\" class=\"img_box \"><div class=\"content_img_div perview_img_div\"><img decoding=\"async\" id=\"img_1\" class=\"opacity_0\" src=\"https:\/\/zkres1.myzaker.com\/202503\/67d788398e9f094ee4329ae4_1024.jpg\" data-height=\"930\" data-width=\"854\" \/><\/div><\/div><p>7B \u5c0f\u6a21\u578b\u62ff\u4e0b MMAU \u699c\u5355 SOTA<\/p><p>\u5982\u524d\u6240\u8ff0\uff0c\u5c0f\u7c73\u5927\u6a21\u578b\u56e2\u961f\u901a\u8fc7 SFT\uff0c\u4f7f\u7528\u6e05\u534e AVQA \u6570\u636e\u96c6\u5bf9\u9009\u62e9\u4e86\u6765\u81ea\u963f\u91cc\u7684 Qwen2-Audio-7B \u8fdb\u884c\u4e86\u5fae\u8c03\uff0c\u6210\u7ee9\u63d0\u5347\u4e86 2.6 \u4e2a\u767e\u5206\u70b9\u3002<\/p><p>\u76f4\u5230 DeepSeek-R1 \u7684\u53d1\u5e03\uff0c\u4e3a\u5c0f\u7c73\u5728\u8be5\u9879\u4efb\u52a1\u4e0a\u7684\u7814\u7a76\u5e26\u6765\u4e86\u542f\u53d1\u3002<\/p><p>DeepSeek-R1 \u7684 Group Relative Policy Optimization\uff08<strong>GRPO<\/strong>\uff09\u65b9\u6cd5\uff0c\u8ba9\u6a21\u578b\u4ec5\u901a\u8fc7 &#8221; \u8bd5\u9519 &#8211; \u5956\u52b1 &#8221; 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\u9a8c\u8bc1\u5dee\u8ddd\u663e\u8457\u7684\u4efb\u52a1\u3002<\/p><p>\u79bb\u7ebf\u5fae\u8c03\u65b9\u6cd5\uff0c\u5982 SFT\uff0c\u6709\u70b9\u50cf\u80cc\u9898\u5e93\uff0c\u4f60\u53ea\u80fd\u6839\u636e\u5df2\u6709\u7684\u9898\u76ee\u548c\u7b54\u6848\u8bad\u7ec3\uff0c\u4f46\u9047\u5230\u65b0\u9898\u53ef\u80fd\u4e0d\u4f1a\u505a\uff1b<\/p><p>\u800c\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\uff0c\u5982 GRPO\uff0c\u50cf\u8001\u5e08\u5728\u8981\u6c42\u4f60\u591a\u60f3\u51e0\u4e2a\u7b54\u6848\uff0c\u7136\u540e\u8001\u5e08\u544a\u8bc9\u4f60\u54ea\u4e00\u4e2a\u7b54\u6848\u597d\uff0c\u8ba9\u4f60\u4e3b\u52a8\u601d\u8003\uff0c\u6fc0\u53d1\u51fa\u81ea\u8eab\u7684\u80fd\u529b\uff0c\u800c\u4e0d\u662f\u88ab &#8221; \u586b\u9e2d\u5f0f &#8221; \u6559\u5b66\u3002<\/p><p>\u5f53\u7136\uff0c\u5982\u679c\u8bad\u7ec3\u91cf\u8db3\u591f\uff0c\u6bd4\u5982\u6709\u5b66\u751f\u613f\u610f\u82b1\u5f88\u591a\u5e74\u7684\u65f6\u95f4\u6765\u6b7b\u8bb0\u786c\u80cc\u9898\u5e93\uff0c\u4e5f\u8bb8\u6700\u7ec8\u4e5f\u80fd\u8fbe\u5230\u4e0d\u9519\u7684\u6548\u679c\uff0c\u4f46\u6548\u7387\u592a\u4f4e\uff0c\u6d6a\u8d39\u592a\u591a\u65f6\u95f4\u3002<\/p><p>\u800c\u4e3b\u52a8\u601d\u8003\uff0c\u66f4\u5bb9\u6613\u5feb\u901f\u5730\u8fbe\u5230\u4e3e\u4e00\u53cd\u4e09\u7684\u6548\u679c\u3002\u5f3a\u5316\u5b66\u4e60\u7684\u5b9e\u65f6\u53cd\u9988\u53ef\u80fd\u4f1a\u5e2e\u52a9\u6a21\u578b\u66f4\u5feb\u9501\u5b9a\u9ad8\u8d28\u91cf\u7b54\u6848\u7684\u5206\u5e03\u533a\u57df\uff0c\u800c\u79bb\u7ebf\u65b9\u6cd5\u9700\u8981\u904d\u5386\u6574\u4e2a\u53ef\u80fd\u6027\u7a7a\u95f4\uff0c\u6548\u7387\u8981\u4f4e\u5f97\u591a\u3002<\/p><p>\u57fa\u4e8e\u4e0a\u8ff0\u6d1e\u5bdf\uff0c\u5c0f\u7c73<strong>\u5c1d\u8bd5\u5c06 DeepSeek-R1 \u7684 GRPO \u7b97\u6cd5\u8fc1\u79fb\u5230 Qwen2-Audio-7B \u6a21\u578b\u4e0a<\/strong>\u3002<\/p><p>\u4ee4\u4eba\u60ca\u559c\u7684\u662f\uff0c\u5728\u4ec5\u4f7f\u7528 AVQA \u7684 3.8 \u4e07\u6761\u8bad\u7ec3\u6837\u672c\u7684\u60c5\u51b5\u4e0b\uff0c\u5f3a\u5316\u5b66\u4e60\u5fae\u8c03\u540e\u7684\u6a21\u578b\u5728 MMAU \u8bc4\u6d4b\u96c6\u4e0a\u5b9e\u73b0\u4e86 64.5% \u7684\u51c6\u786e\u7387\uff0c\u8fd9\u4e00\u6210\u7ee9\u6bd4\u76ee\u524d\u699c\u5355\u4e0a\u7b2c\u4e00\u540d\u7684\u5546\u4e1a\u95ed\u6e90\u6a21\u578b GPT-4o \u6709\u8fd1 10 \u4e2a\u767e\u5206\u70b9\u7684\u4f18\u52bf\u3002<\/p><p>\u6709\u8da3\u7684\u662f\uff0c\u5982\u679c\u5728\u8bad\u7ec3\u4e2d\u5f3a\u5236\u8981\u6c42\u6a21\u578b\u8f93\u51fa\u5305\u542b thinking \u6807\u7b7e\u7684\u63a8\u7406\u8fc7\u7a0b\u65f6\uff0c\u51c6\u786e\u7387\u53cd\u800c\u4e0b\u964d\u81f3 61.1%\u3002\u8fd9\u8bf4\u660e<strong>\u663e\u5f0f\u7684\u601d\u7ef4\u94fe\u7ed3\u679c\u8f93\u51fa\u53ef\u80fd\u5e76\u4e0d\u5229\u4e8e\u6a21\u578b\u7684\u8bad\u7ec3<\/strong>\u3002<\/p><p>\u5c0f\u7c73\u5927\u6a21\u578b\u56e2\u961f\u7684\u5b9e\u9a8c\u63ed\u793a\u4e86\u51e0\u4e2a\u548c\u4f20\u7edf\u8ba4\u77e5\u4e0d\u540c\u7684\u7ed3\u8bba\uff1a<\/p><p>\u5173\u4e8e<strong>\u5fae\u8c03\u65b9\u6cd5<\/strong>\uff1a\u5f3a\u5316\u5b66\u4e60\u5728 3.8 \u4e07\u6761\u6570\u636e\u96c6\u4e0a\u7684\u8868\u73b0\uff0c\u663e\u8457\u8d85\u8fc7\u76d1\u7763\u5b66\u4e60\u5728 57 \u4e07\u6761\u6570\u636e\u96c6\u4e0a\u7684\u7ed3\u679c\uff1b<\/p><p>\u5173\u4e8e<strong>\u53c2\u6570\u89c4\u6a21<\/strong>\uff1a\u76f8\u6bd4\u5343\u4ebf\u7ea7\u6a21\u578b\uff0c7B \u53c2\u6570\u7684\u6a21\u578b\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u4e5f\u53ef\u5c55\u73b0\u5f3a\u63a8\u7406\u80fd\u529b\uff1b<\/p><p>\u5173\u4e8e<strong>\u9690\u5f0f\u63a8\u7406<\/strong>\uff1a\u663e\u5f0f\u601d\u7ef4\u94fe\u8f93\u51fa\u53cd\u800c\u6210\u4e3a\u6027\u80fd\u74f6\u9888\u3002<\/p><p>\u5c3d\u7ba1\u5f53\u524d\u51c6\u786e\u7387\u5df2\u7a81\u7834 64%\uff0c\u4f46\u8ddd\u79bb\u4eba\u7c7b\u4e13\u5bb6 82% \u7684\u6c34\u5e73\u4ecd\u6709\u5dee\u8ddd\u3002<\/p><p>\u5c0f\u7c73\u5927\u6a21\u578b\u56e2\u961f\u8868\u793a\uff0c\u5728\u5f53\u524d\u7684\u5b9e\u9a8c\u4e2d\uff0c\u5f3a\u5316\u5b66\u4e60\u7b56\u7565\u8fd8\u662f\u6bd4\u8f83\u7c97\u7cd9\uff0c\u8bad\u7ec3\u8fc7\u7a0b\u5bf9\u601d\u7ef4\u94fe\u7684\u5f15\u5bfc\u5e76\u4e0d\u5145\u5206\uff0c\u6211\u4eec\u4f1a\u5728\u540e\u7eed\u505a\u8fdb\u4e00\u6b65\u63a2\u7d22\u3002<\/p><p>\u6b64\u6b21\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u5f3a\u5316\u5b66\u4e60\u5728\u97f3\u9891\u7406\u89e3\u548c\u5224\u65ad\u9886\u57df\u7684\u72ec\u7279\u4ef7\u503c\uff0c\u4e5f\u4e3a\u540e\u7eed\u7814\u7a76\u6253\u5f00\u4e86\u4e00\u6247\u65b0\u7684\u5927\u95e8\u3002<\/p><p>\u5c0f\u7c73\u56e2\u961f\u671f\u5f85\uff0c\u5f53\u673a\u5668\u4e0d\u4ec5\u80fd &#8221; \u542c\u89c1 &#8221; \u58f0\u97f3\uff0c\u8fd8\u80fd &#8221; \u542c\u61c2 &#8221; \u58f0\u97f3\u80cc\u540e\u7684\u56e0\u679c\u903b\u8f91\u65f6\uff0c\u771f\u6b63\u7684\u667a\u80fd\u542c\u89c9\u65f6\u4ee3\u5c06\u4f1a\u6765\u4e34\u3002<\/p><p>\u4eba\u7c7b\u4e13\u5bb6\u51c6\u786e\u7387 82.23%<\/p><p>MMAU\uff08Massive Multi-Task Audio Understanding and Reasoning\uff09\u8bc4\u6d4b\u96c6\u7531\u7f8e\u56fd\u9a6c\u91cc\u5170\u5927\u5b66\u548c Adobe \u7684\u7814\u7a76\u4eba\u5458\u4e8e\u53bb\u5e74\u8054\u5408\u63d0\u51fa\uff0c\u662f<strong>\u97f3\u9891\u7406\u89e3\u548c\u63a8\u65ad\u80fd\u529b\u7684\u91cf\u5316\u6807\u5c3a<\/strong>\u3002<\/p><p>\u5b83\u901a\u8fc7<strong>\u4e00\u4e07\u6761\u6db5\u76d6\u8bed\u97f3\u3001\u73af\u5883\u58f0\u548c\u97f3\u4e50\u7684\u97f3\u9891\u6837\u672c<\/strong>\uff0c\u7ed3\u5408\u4eba\u7c7b\u4e13\u5bb6\u6807\u6ce8\u7684\u95ee\u7b54\u5bf9\uff0c\u6d4b\u8bd5\u6a21\u578b\u5728 27 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class=\"opacity_0\" src=\"https:\/\/zkres1.myzaker.com\/202503\/67d788398e9f094ee4329ae5_1024.jpg\" data-height=\"477\" data-width=\"1270\" \/><\/div><\/div><p>\u5728\u5927\u6a21\u578b\u65f6\u4ee3\uff0c\u4eba\u4eec\u5df2\u7ecf\u4e0d\u6ee1\u8db3\u4e8e\u673a\u5668\u4ec5\u4ec5\u8bc6\u522b\u8bf4\u8bdd\u7684\u5185\u5bb9\u3001\u58f0\u97f3\u7684\u79cd\u7c7b\uff0c\u66f4\u671f\u671b\u673a\u5668\u5177\u5907\u590d\u6742\u7684\u7406\u89e3\u548c\u5224\u65ad\u80fd\u529b\uff0cMMAU \u8861\u91cf\u7684\u5c31\u662f\u8fd9\u79cd\u80fd\u529b\u3002<\/p><p>\u8fd9\u662f\u4e00\u4e2a\u5f88\u96be\u7684\u8bc4\u6d4b\u96c6\uff0c\u4f5c\u4e3a\u57fa\u51c6\u4e0a\u9650\uff0c<strong>\u4eba\u7c7b\u4e13\u5bb6\u5728 MMAU \u4e0a\u7684\u51c6\u786e\u7387\u4e3a 82.23%<\/strong>\u3002<\/p><p>\u76ee\u524d MMAU \u5b98\u7f51\u699c\u5355\u4e0a\u8868\u73b0\u6700\u597d\u7684\u6a21\u578b\u662f GPT-4o\uff0c\u51c6\u786e\u7387\u4e3a 57.3%\u3002\u7d27\u968f\u5176\u540e\u7684\u662f\u8c37\u6b4c\u7684 Gemini 2.0 Flash\uff0c\u51c6\u786e\u7387\u4e3a 55.6%\u3002<\/p><p>\u8bad\u7ec3\u4ee3\u7801\uff1a<\/p><p>https:\/\/github.com\/xiaomi-research\/r1-aqa<\/p><p>\u6a21\u578b\u53c2\u6570\uff1a<\/p><p>https:\/\/huggingface.co\/mispeech\/r1-aqa<\/p><p>\u6280\u672f\u62a5\u544a\uff1a<\/p><p>https:\/\/arxiv.org\/abs\/2503.11197<\/p><p>\u4ea4\u4e92 Demo\uff1a<\/p><p>http:\/\/120.48.108.147:7860\/<\/p><p>\u2014 \u00a0<strong>\u5b8c<\/strong>\u00a0 \u2014<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u5141\u4e2d\u00a0\u53d1\u81ea 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