{"id":40135,"date":"2025-04-15T03:02:41","date_gmt":"2025-04-14T19:02:41","guid":{"rendered":"https:\/\/17aitech.com\/?p=40135"},"modified":"2025-04-15T03:02:41","modified_gmt":"2025-04-14T19:02:41","slug":"%e4%b8%ad%e7%a7%91%e5%a4%a7%e3%80%81%e4%b8%ad%e5%85%b4%e6%8f%90%e5%87%ba%e6%96%b0%e5%90%8e%e8%ae%ad%e7%bb%83%e8%8c%83%e5%bc%8f%ef%bc%9a%e5%b0%8f%e5%b0%ba%e5%af%b8%e5%a4%9a%e6%a8%a1%e6%80%81%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=40135","title":{"rendered":"\u4e2d\u79d1\u5927\u3001\u4e2d\u5174\u63d0\u51fa\u65b0\u540e\u8bad\u7ec3\u8303\u5f0f\uff1a\u5c0f\u5c3a\u5bf8\u591a\u6a21\u6001\u6a21\u578b\uff0c\u6210\u529f\u590d\u73b0R1\u63a8\u7406"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-04-14-3\" target=\"_blank\">\u4e2d\u79d1\u5927\u3001\u4e2d\u5174\u63d0\u51fa\u65b0\u540e\u8bad\u7ec3\u8303\u5f0f\uff1a\u5c0f\u5c3a\u5bf8\u591a\u6a21\u6001\u6a21\u578b\uff0c\u6210\u529f\u590d\u73b0R1\u63a8\u7406<\/a><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ba4d23230d97380a085c4830777aebac.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ba4d23230d97380a085c4830777aebac.png\"><\/a><\/p>\n<p data-pm-slice=\"0 0 []\"><strong>\u672c\u6587\u7b2c\u4e00\u4f5c\u8005\u4e3a\u9093\u6167\u7433\uff0c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u7855\u535a\u8fde\u8bfb\u56db\u5e74\u7ea7\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u591a\u6a21\u6001\u6a21\u578b\u89c6\u89c9\u7406\u89e3\u3001\u63a8\u7406\u589e\u5f3a\uff08R1\u5f3a\u5316\u5b66\u4e60\uff09\u3001\u5f02\u5e38\u68c0\u6d4b\u3002\u5728TAI\u3001TASE\u3001ICCV\u7b49\u671f\u520a\u548c\u9876\u4f1a\u53d1\u8868\u8bba\u6587\u3002<\/strong><\/p>\n<p data-pm-slice=\"0 0 []\">\u8fd1\u5e74\u6765\uff0c\u968f\u7740\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u591a\u6a21\u6001\u7406\u89e3\u9886\u57df\u53d6\u5f97\u4e86\u524d\u6240\u672a\u6709\u7684\u8fdb\u6b65\u3002\u50cf OpenAI\u3001InternVL \u548c Qwen-VL \u7cfb\u5217\u8fd9\u6837\u7684\u6700\u5148\u8fdb\u7684\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\uff08VLMs\uff09\uff0c\u5728\u5904\u7406\u590d\u6742\u7684\u89c6\u89c9-\u6587\u672c\u4efb\u52a1\u65f6\u5c55\u73b0\u4e86\u5353\u8d8a\u7684\u80fd\u529b\u3002<\/p>\n<p data-pm-slice=\"0 0 []\">\u7136\u800c\uff0c\u8fd9\u4e9b\u6210\u5c31\u4e3b\u8981\u4f9d\u8d56\u4e8e\u5927\u89c4\u6a21\u6a21\u578b\u6269\u5c55\uff08&gt;32B \u53c2\u6570\uff09\uff0c\u8fd9\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\u9020\u6210\u4e86\u663e\u8457\u7684\u90e8\u7f72\u969c\u788d\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u901a\u8fc7\u6709\u6548\u7684\u540e\u8bad\u7ec3\uff08post-training\uff09\u8303\u5f0f\u6765\u7f29\u5c0f\u5c0f\u89c4\u6a21\u591a\u6a21\u6001\u6a21\u578b\u4e0e\u5927\u89c4\u6a21\u6a21\u578b\u4e4b\u95f4\u7684\u6027\u80fd\u5dee\u8ddd\uff0c\u662f\u4e9f\u5f85\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n<p>\u76ee\u524d\uff0cVLM \u7684\u4e3b\u6d41\u8bad\u7ec3\u65b9\u6cd5\u662f\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\uff0c\u5373\u4f7f\u7528\u4eba\u5de5\u6807\u6ce8\u6216 AI \u751f\u6210\u7684\u9ad8\u8d28\u91cf\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u6709\u76d1\u7763\u8bad\u7ec3\u3002\u4f46\u8fd9\u79cd\u65b9\u6cd5\u5728\u5c0f\u6a21\u578b\u4e0a\u5b58\u5728\u4e24\u4e2a\u5173\u952e\u95ee\u9898\uff1a<\/p>\n<ul>\n<li>\n<section>\u57df\u5916\u6cdb\u5316\u80fd\u529b\u4e0d\u8db3\uff08Out-of-Domain generalization collapse\uff09\uff1a\u5bb9\u6613\u8fc7\u62df\u5408\u8bad\u7ec3\u6570\u636e\uff0c\u5728\u672a\u89c1\u8fc7\u7684\u573a\u666f\u65f6\u6027\u80fd\u663e\u8457\u4e0b\u964d\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<ul>\n<li>\n<section>\u63a8\u7406\u80fd\u529b\u6709\u9650\uff08shallow reasoning abilities\uff09\uff1a\u503e\u5411\u4e8e\u6d45\u5c42\u6a21\u5f0f\u5339\u914d\uff0c\u800c\u975e\u771f\u6b63\u7684\u7406\u89e3\u548c\u63a8\u7406\u3002\u8fd9\u5bfc\u81f4\u6a21\u578b\u867d\u80fd\u5e94\u5bf9\u76f8\u4f3c\u95ee\u9898\uff0c\u4f46\u96be\u4ee5\u5904\u7406\u9700\u8981\u6df1\u5ea6\u601d\u8003\u7684\u590d\u6742\u95ee\u9898\u3002<\/section>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ad4536db8713ea45b7980a8e73880e75.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ad4536db8713ea45b7980a8e73880e75.png\"><\/a><\/section>\n<p><sup>\u56fe 1. \u5b9e\u9a8c\u7ed3\u679c\u5206\u6790\u3002 (a) SFT \u4e0e RL \u65b9\u6cd5\u6027\u80fd\u5bf9\u6bd4\uff1a\u901a\u8fc7\u5bf9\u6bd4\u57df\u5185\u548c\u57df\u5916\u6027\u80fd\uff0c\u5b9e\u9a8c\u8bc1\u5b9e\u4e86\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u5728\u5404\u7c7b\u89c6\u89c9\u4efb\u52a1\u4e2d\u5177\u6709\u66f4\u5f3a\u7684 OOD \u6cdb\u5316\u80fd\u529b\u3002 (b) &#8220;\u7816\u5899&#8221;\u73b0\u8c61\u5206\u6790\uff1a\u5728\u5c0f\u89c4\u6a21 VLMs \u4e2d\u89c2\u5bdf\u5230\uff1a\u9762\u5bf9\u590d\u6742\u6837\u672c\u65f6\u51fa\u73b0\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u6027\uff0c\u6a21\u578b\u6700\u7ec8\u6536\u655b\u5230\u6b21\u4f18\u89e3\u3002\u6211\u4eec\u63d0\u51fa\u7684\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u91c7\u7528\u96be\u5ea6\u611f\u77e5\u7684\u5956\u52b1\u8bbe\u8ba1\uff0c\u786e\u4fdd\u6a21\u578b\u80fd\u529b\u4ece\u57fa\u7840\u4efb\u52a1\u5230\u590d\u6742\u63a8\u7406\u4efb\u52a1\u7684\u7a33\u6b65\u63d0\u5347\u3002<\/sup><\/p>\n<p data-pm-slice=\"0 0 []\">\u901a\u8fc7\u7cfb\u7edf\u5b9e\u9a8c\uff0c\u6211\u4eec\u53d1\u73b0\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u8bad\u7ec3\u65b9\u6cd5\u5728\u63d0\u5347\u6a21\u578b\u57df\u5916\u6cdb\u5316\u6027\u65b9\u9762\u5177\u6709\u72ec\u7279\u4f18\u52bf\u3002<\/p>\n<p data-pm-slice=\"0 0 []\">\u7136\u800c\uff0c\u5728\u5b9e\u8df5\u4e2d\u6211\u4eec\u89c2\u5bdf\u5230\u4e00\u4e2a\u663e\u8457\u7684\u300c\u7816\u5899\u300d\uff08Brick Wall\uff09\u73b0\u8c61\uff1a\u5c0f\u89c4\u6a21\u6a21\u578b\u5728\u7b80\u5355\u4efb\u52a1\u4e0a\u5feb\u901f\u8fdb\u6b65\uff0c\u4f46\u5728\u590d\u6742\u4efb\u52a1\u4e0a\u9047\u5230\u74f6\u9888\uff0c\u751a\u81f3\u5bfc\u81f4\u5df2\u638c\u63e1\u80fd\u529b\u7684\u9000\u5316\u3002\u8fd9\u79cd\u73b0\u8c61\u8868\u73b0\u4e3a\u8bad\u7ec3\u8fc7\u7a0b\u7684\u5267\u70c8\u9707\u8361\uff0c\u6700\u7ec8\u5bfc\u81f4\u6a21\u578b\u6536\u655b\u5230\u6b21\u4f18\u89e3\u3002<\/p>\n<p>\u4e3a\u7a81\u7834\u8fd9\u4e00\u74f6\u9888\uff0c\u6211\u4eec\u4ece\u8bfe\u7a0b\u5b66\u4e60\uff08Curriculum Learning, CL\uff09\u4e2d\u6c72\u53d6\u7075\u611f\u3002\u8bfe\u7a0b\u5b66\u4e60\u662f\u4e00\u79cd\u5c06\u6a21\u578b\u9010\u6b65\u66b4\u9732\u4e8e\u9012\u589e\u590d\u6742\u4efb\u52a1\u7684\u8bad\u7ec3\u7b56\u7565\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u8bfe\u7a0b\u5f0f\u5f3a\u5316\u5b66\u4e60\u540e\u8bad\u7ec3\u8303\u5f0f\uff08Curr-ReFT\uff09\uff0c\u786e\u4fdd\u6a21\u578b\u80fd\u529b\u4ece\u57fa\u7840\u4efb\u52a1\u5230\u590d\u6742\u63a8\u7406\u4efb\u52a1\u7684\u7a33\u6b65\u63d0\u5347\u3002<\/p>\n<p>\u8fd9\u4e00\u521b\u65b0\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u5c0f\u578b VLMs \u7a81\u7834\u6027\u80fd\u74f6\u9888\uff0c\u5728\u4fdd\u6301\u90e8\u7f72\u53cb\u597d\u6027\u7684\u540c\u65f6\uff0c\u5b9e\u73b0\u4e0e\u5927\u89c4\u6a21\u6a21\u578b\u76f8\u5ab2\u7f8e\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-84f9889d3ccd6793611a5c8416f15f50.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-84f9889d3ccd6793611a5c8416f15f50.png\"><\/a><\/section>\n<ul>\n<li>\n<p data-pm-slice=\"0 0 []\">\u8bba\u6587\u6807\u9898\uff1a Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2503.07065<\/p>\n<\/li>\n<li>\n<p>\u5f00\u6e90\u94fe\u63a5\uff1a<\/p>\n<\/li>\n<li>\n<p>https:\/\/github.com\/ding523\/Curr_REFT\uff08\u4ee3\u7801\uff09https:\/\/huggingface.co\/datasets\/ZTE-AIM\/Curr-ReFT-data\uff08\u6570\u636e\uff09https:\/\/huggingface.co\/ZTE-AIM\/3B-Curr-ReFT\uff08\u6a21\u578b\u6743\u91cd\uff09https:\/\/huggingface.co\/ZTE-AIM\/7B-Curr-ReFT\uff08\u6a21\u578b\u6743\u91cd\uff09<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u5de5\u4f5c\u6982\u8ff0\u00a0<\/strong><\/p>\n<p>\u5728\u4e2d\u5c0f\u5c3a\u5bf8\u591a\u6a21\u6001\u5927\u6a21\u578b\u4e0a\uff0c\u6211\u4eec\u6210\u529f\u590d\u73b0\u4e86 R1\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u79cd\u521b\u65b0\u7684\u540e\u8bad\u7ec3\u8303\u5f0f Curr-ReFT\u3002\u901a\u8fc7\u7ed3\u5408\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\u548c\u57fa\u4e8e\u62d2\u7edd\u91c7\u6837\u7684\u81ea\u6211\u6539\u8fdb\u65b9\u6cd5\uff0c\u6211\u4eec\u663e\u8457\u63d0\u5347\u4e86\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\uff08VLM\uff09\u7684\u63a8\u7406\u80fd\u529b\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n<p><strong>\u7406\u8bba\u4e0e\u5b9e\u9a8c\u5206\u6790<\/strong><\/p>\n<ul>\n<li>\n<section><strong>\u5f3a\u5316\u5b66\u4e60\u7684\u91cd\u5851\u80fd\u529b<\/strong>\uff1a\u6211\u4eec\u8bc1\u660e\u4e86\u57fa\u4e8e\u89c4\u5219\u7684\u5f3a\u5316\u5b66\u4e60\u80fd\u591f\u6709\u6548\u91cd\u5851\u591a\u6a21\u6001\/CV \u4efb\u52a1\u7684\u8bad\u7ec3\u65b9\u6848\uff0c\u4ece\u4f20\u7edf\u7684\u7cbe\u8c03\u8f6c\u5411\u5f3a\u5316\u7cbe\u8c03\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<ul>\n<li>\n<section><strong>\u63d0\u5347\u63a8\u7406\u4e0e\u6cdb\u5316\u80fd\u529b<\/strong>\uff1a\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u663e\u8457\u63d0\u5347\u4e86 VLM \u5728\u5206\u5e03\u5916\u6570\u636e\u4e0a\u7684\u8868\u73b0\u3002<\/section>\n<\/li>\n<\/ul>\n<p><strong>\u521b\u65b0\u6846\u67b6<\/strong><\/p>\n<ul>\n<li>\n<section><strong>Curr-ReFT<\/strong>\uff1a\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u578b\u540e\u8bad\u7ec3\u8303\u5f0f\uff0c\u7ed3\u5408\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\u548c\u81ea\u6211\u6539\u8fdb\u7b56\u7565\u3002\u5728 Qwen2.5-VL-3B \u548c Qwen2.5-VL-7B \u6a21\u578b\u4e2d\u9a8c\u8bc1\u4e86\u5176\u6709\u6548\u6027\u3002<\/section>\n<\/li>\n<\/ul>\n<p><strong>\u5168\u9762\u8bc4\u4f30<\/strong>\u00a0<\/p>\n<p>\u5728\u591a\u4e2a\u81ea\u5efa\u6570\u636e\u96c6\u548c\u6743\u5a01\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u8fdb\u884c\u5bf9\u6bd4\u5b9e\u9a8c\uff0c\u9a8c\u8bc1\u4e86\u6a21\u578b\u7684\u901a\u7528\u8868\u73b0\uff0c\u7ed3\u679c\u8868\u660e 7B \u6a21\u578b\u751a\u81f3\u8d85\u8d8a\u4e86\u6700\u65b0\u7684 InternVL2.5-26B \u548c 38B \u6a21\u578b\u3002<\/p>\n<p><strong>\u5177\u4f53\u65b9\u6cd5<\/strong><\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-a5ddcd3dc7d6a7b4b3e75d27a4cc02dd.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-a5ddcd3dc7d6a7b4b3e75d27a4cc02dd.png\"><\/a><\/section>\n<p><sup>\u56fe 2. \u6240\u63d0\u51fa\u7684 Curr-ReFT \u540e\u8bad\u7ec3\u8303\u5f0f\u6574\u4f53\u6846\u67b6\u3002Curr-ReFT \u5305\u542b\u4e24\u4e2a\u8fde\u7eed\u7684\u8bad\u7ec3\u9636\u6bb5\uff1a1.\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\uff1a\u901a\u8fc7\u4e0e\u4efb\u52a1\u590d\u6742\u5ea6\u5339\u914d\u7684\u5956\u52b1\u673a\u5236\uff0c\u9010\u6b65\u63d0\u5347\u4efb\u52a1\u96be\u5ea6\u30022.\u57fa\u4e8e\u62d2\u7edd\u91c7\u6837\u7684\u81ea\u6211\u6539\u8fdb\uff1a\u7ef4\u6301 LLM \u6a21\u578b\u7684\u57fa\u7840\u80fd\u529b\u3002<\/sup><\/p>\n<p>Curr-ReFT \u5305\u542b\u4e24\u4e2a\u8fde\u7eed\u7684\u8bad\u7ec3\u9636\u6bb5\uff1a<\/p>\n<ul>\n<li>\n<section>\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\uff1a\u901a\u8fc7\u96be\u5ea6\u611f\u77e5\u7684\u5956\u52b1\u8bbe\u8ba1\u786e\u4fdd\u6a21\u578b\u80fd\u529b\u7684\u7a33\u6b65\u63d0\u5347\uff0c\u4ece\u57fa\u7840\u7684\u89c6\u89c9\u611f\u77e5\u9010\u6b65\u8fc7\u6e21\u5230\u590d\u6742\u7684\u63a8\u7406\u4efb\u52a1\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<ul>\n<li>\n<section>\u57fa\u4e8e\u62d2\u7edd\u91c7\u6837\u7684\u81ea\u6211\u6539\u8fdb\uff1a\u901a\u8fc7\u4ece\u9ad8\u8d28\u91cf\u7684\u591a\u6a21\u6001\u548c\u8bed\u8a00\u6837\u672c\u4e2d\u8fdb\u884c\u9009\u62e9\u6027\u5b66\u4e60\uff0c\u7ef4\u6301 VLMs \u7684\u57fa\u7840\u80fd\u529b\u3002<\/section>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-7888a8407c9e7ad7461c29fe3750eaf7.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-7888a8407c9e7ad7461c29fe3750eaf7.png\"><\/a><\/section>\n<p><sup>\u56fe 3. \u8bad\u7ec3\u6570\u636e\u7ec4\u7ec7\u67b6\u6784\u56fe\u3002 (a) \u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\u7684\u4e09\u9636\u6bb5\u6e10\u8fdb\u5f0f\u54cd\u5e94\u683c\u5f0f\u793a\u4f8b\u3002\u5c55\u793a\u4e86\u4efb\u52a1\u4ece\u7b80\u5355\u5230\u56f0\u96be\u7684\u9012\u8fdb\u8fc7\u7a0b\uff0c\u5448\u73b0\u4e0d\u540c\u9636\u6bb5\u7684\u54cd\u5e94\u683c\u5f0f\u53d8\u5316\u3002 (b) \u62d2\u7edd\u91c7\u6837 SFT \u9636\u6bb5\u4f7f\u7528\u7684\u6570\u636e\u6765\u6e90\u5206\u5e03\u3002<\/sup><\/p>\n<p><strong>Stage1\uff1a\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\uff08Curriculum Reinforcement Learning\uff09\u00a0<\/strong><\/p>\n<p>\u8bfe\u7a0b\u5b66\u4e60\uff08Curriculum Learning\uff0cCL\uff09\u4f5c\u4e3a\u4e00\u79cd\u6559\u5b66\u5f0f\u8bad\u7ec3\u7b56\u7565\uff0c\u5176\u6838\u5fc3\u601d\u60f3\u662f\u8ba9\u6a21\u578b\u5faa\u5e8f\u6e10\u8fdb\u5730\u63a5\u89e6\u590d\u6742\u5ea6\u9012\u589e\u7684\u4efb\u52a1\u3002<\/p>\n<p>\u9488\u5bf9\u5f3a\u5316\u5b66\u4e60\u4e2d\u666e\u904d\u5b58\u5728\u7684\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u6027\u548c\u6536\u655b\u6027\u95ee\u9898\uff0c\u6211\u4eec\u521b\u65b0\u6027\u5730\u5c06\u8bfe\u7a0b\u5b66\u4e60\u4e0e GRPO \u76f8\u7ed3\u5408\uff0c\u7a81\u7834\u4e86\u4f20\u7edf\u57fa\u4e8e\u6837\u672c\u96be\u5ea6\u8bc4\u4f30\u7684\u5c40\u9650\uff0c\u8f6c\u800c\u5173\u6ce8\u4efb\u52a1\u5c42\u9762\u7684\u6e10\u8fdb\u5f0f\u5b66\u4e60\u3002<\/p>\n<p>\u672c\u7814\u7a76\u7684\u5173\u952e\u521b\u65b0\u70b9\u5728\u4e8e\u8bbe\u8ba1\u4e86\u96be\u5ea6\u611f\u77e5\u7684\u5956\u52b1\u673a\u5236\uff0c\u8be5\u673a\u5236\u4e0e\u4efb\u52a1\u7684\u81ea\u7136\u8fdb\u9636\u8def\u5f84\u76f8\u5339\u914d\uff0c\u5177\u4f53\u5305\u62ec\u4e09\u4e2a\u9012\u8fdb\u9636\u6bb5\uff1a<\/p>\n<ul>\n<li>\n<section>\u4e8c\u5143\u51b3\u7b56\u9636\u6bb5\uff08Binary Decision\uff09<\/section>\n<\/li>\n<li>\n<section>\u591a\u9879\u9009\u62e9\u9636\u6bb5\uff08Multiple Choice\uff09<\/section>\n<\/li>\n<li>\n<section>\u5f00\u653e\u5f0f\u56de\u7b54\u9636\u6bb5\uff08Open-ended Response\uff09<\/section>\n<\/li>\n<\/ul>\n<p>\u8fd9\u4e00\u8bfe\u7a0b\u5f3a\u5316\u5b66\u4e60\uff08Curr-RL\uff09\u6846\u67b6\u901a\u8fc7\u7cbe\u786e\u6821\u51c6\u4efb\u52a1\u590d\u6742\u5ea6\u5bf9\u5e94\u7684\u5956\u52b1\u673a\u5236\uff0c\u6210\u529f\u5b9e\u73b0\u4e86\u89c6\u89c9\u611f\u77e5\u548c\u6570\u5b66\u63a8\u7406\u4efb\u52a1\u7684\u7a33\u5b9a\u4f18\u5316\u8fc7\u7a0b\u3002<\/p>\n<p><strong>Stage2\uff1a\u62d2\u7edd\u91c7\u6837\u81ea\u6211\u589e\u5f3a\uff08Rejected Sample based Self-improvement\uff09<\/strong>\u00a0<\/p>\n<p>\u6570\u636e\u51c6\u5907\u8fc7\u7a0b\u6d89\u53ca\u5bf9\u7efc\u5408\u6570\u636e\u96c6\u7684\u7cfb\u7edf\u91c7\u6837\u3002\u6211\u4eec\u4f7f\u7528 GPT-4-O \u4f5c\u4e3a\u5956\u52b1\u6a21\u578b\uff0c\u4ece\u591a\u4e2a\u7ef4\u5ea6\u8bc4\u4f30\u751f\u6210\u7684\u54cd\u5e94\uff0c\u8bc4\u4f30\u6807\u51c6\u5305\u62ec\uff1a\u51c6\u786e\u6027\u3001\u903b\u8f91\u4e00\u81f4\u6027\u3001\u683c\u5f0f\u89c4\u8303\u6027\u3001\u8bed\u8a00\u6d41\u7545\u5ea6\u3002<\/p>\n<p>\u6240\u6709\u54cd\u5e94\u5728 0-100 \u5206\u8303\u56f4\u5185\u8fdb\u884c\u91cf\u5316\u8bc4\u4f30\u3002\u5f97\u5206\u8d85\u8fc7 85 \u5206\u7684\u54cd\u5e94\u53ca\u5176\u5bf9\u5e94\u7684\u95ee\u9898\u4f1a\u88ab\u7eb3\u5165\u589e\u5f3a\u6570\u636e\u96c6\u3002\u6700\u7ec8\u6574\u7406\u7684\u6570\u636e\u96c6\u5305\u542b 1,520 \u4e2a\u9ad8\u8d28\u91cf\u6837\u672c\uff0c\u6db5\u76d6\u591a\u4e2a\u9886\u57df\uff1a\u6570\u5b66\u3001\u79d1\u5b66\u3001\u901a\u7528\u573a\u666f\u7684\u901a\u7528\u77e5\u8bc6\u3002\u6570\u636e\u5206\u5e03\u5982\u4e0b\uff1a<\/p>\n<section>1\u3001\u6570\u5b66\u9886\u57df\uff08\u5171 700 \u6761\u6570\u636e\uff09\uff1a<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u591a\u6a21\u6001\u6570\u636e\uff08300 \u6761\uff09\uff1a<\/section>\n<ul>\n<li>\n<section>Geometry3K_MathV360K\uff08100 \u6761\uff09<\/section>\n<\/li>\n<li>\n<section>Geo170k_qa\uff08100 \u6761\uff09<\/section>\n<\/li>\n<li>\n<section>Geomverse\uff08100 \u6761\uff09<\/section>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<section>\u7eaf\u6587\u672c\u6570\u636e\uff1a<\/section>\n<ul>\n<li>\n<section>SK1.1 \u6570\u5b66\u9898\uff08400 \u6761\uff09<\/section>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>2\u3001\u79d1\u5b66\u9886\u57df\uff08\u5171 320 \u6761\u6570\u636e\uff09\uff1a<\/section>\n<ul>\n<li>\n<section>\u591a\u6a21\u6001\u6570\u636e\uff08220 \u6761\uff09\uff1a<\/section>\n<ul>\n<li>\n<section>Scienceqa_cauldron\uff08100 \u6761\uff09<\/section>\n<\/li>\n<li>\n<section>Scienceqa_nona_context\uff08120 \u6761\uff09<\/section>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<section>\u7eaf\u6587\u672c\u6570\u636e\uff1a<\/section>\n<ul>\n<li>\n<section>SK1.1 \u79d1\u5b66\u9898\uff08100 \u6761\uff09<\/section>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>3\u3001\u901a\u8bc6\u9886\u57df\uff08\u5171 500 \u6761\u591a\u6a21\u6001\u6570\u636e\uff09\uff1a<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>Illava_cot_100k\uff08300 \u6761\uff09<\/section>\n<\/li>\n<li>\n<section>Visual7w\uff08100 \u6761\uff09<\/section>\n<\/li>\n<li>\n<section>VSR\uff08100 \u6761\uff09<\/section>\n<\/li>\n<\/ul>\n<p><strong>\u5b9e\u9a8c\u7ed3\u679c<\/strong>\u00a0<\/p>\n<p>\u4e3a\u4e86\u9a8c\u8bc1\u6211\u4eec\u7684\u6a21\u578b\u5728\u591a\u6a21\u6001\u6570\u5b66\u63a8\u7406\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\uff0c\u6211\u4eec\u8fdb\u884c\u4e86\u5e7f\u6cdb\u7684\u5b9e\u9a8c\uff0c\u5e76\u5728\u591a\u4e2a\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u6d4b\u8bd5\u3002\u4ee5\u4e0b\u662f\u5b9e\u9a8c\u90e8\u5206\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff1a<\/p>\n<p><strong>\u5b9e\u9a8c\u8bbe\u7f6e\u00a0<\/strong><\/p>\n<p>1\u3001 Visual Datasets<strong>\u00a0<\/strong><\/p>\n<p>\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u8bc4\u4f30\u6846\u67b6\uff0c\u6db5\u76d6\u89c6\u89c9\u68c0\u6d4b\u3001\u89c6\u89c9\u5206\u7c7b\u548c\u591a\u6a21\u6001\u6570\u5b66\u63a8\u7406\u4e09\u4e2a\u4e3b\u8981\u4efb\u52a1\uff0c\u4ee5\u8bc4\u4f30\u5f3a\u5316\u5b66\u4e60\u5bf9\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\u7684\u6709\u6548\u6027\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n<ul>\n<li>\n<section><strong>\u89c6\u89c9\u68c0\u6d4b<\/strong>\uff1a\u4f7f\u7528 RefCOCO \u548c RefGta \u6570\u636e\u96c6\u3002<\/section>\n<\/li>\n<li>\n<section><strong>\u89c6\u89c9\u5206\u7c7b<\/strong>\uff1a\u91c7\u7528 RefCOCO\u3001RefCOCOg \u548c Pascal-VOC \u6570\u636e\u96c6\u3002<\/section>\n<\/li>\n<li>\n<section><strong>\u591a\u6a21\u6001\u6570\u5b66\u63a8\u7406<\/strong>\uff1a\u7ed3\u5408 Math360K\u3001Geo170K \u548c CLEVER-70k-Counting \u6570\u636e\u96c6\u3002<\/section>\n<\/li>\n<\/ul>\n<p>2\u3001Benchmarks\u00a0<\/p>\n<p>\u6211\u4eec\u5728\u591a\u4e2a\u6743\u5a01\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\u8bc4\u4f30\u4e86\u6a21\u578b\u7684\u8868\u73b0\uff0c\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\n<section><strong>MathVisa<\/strong>\uff1a\u7efc\u5408\u6570\u5b66\u57fa\u51c6\u3002<\/section>\n<\/li>\n<li>\n<section><strong>MATH<\/strong>\uff1a\u9ad8\u4e2d\u7ade\u8d5b\u7ea7\u522b\u6570\u5b66\u95ee\u9898\u3002<\/section>\n<\/li>\n<li>\n<section><strong>AI2D<\/strong>\uff1a\u5c0f\u5b66\u79d1\u5b66\u56fe\u8868\u53ca\u76f8\u5173\u95ee\u9898\u3002<\/section>\n<\/li>\n<li>\n<section><strong>MMVet \u548c MMBench<\/strong>\uff1a\u590d\u6742\u63a8\u7406\u548c\u591a\u6a21\u6001\u80fd\u529b\u8bc4\u4f30\u3002<\/section>\n<\/li>\n<\/ul>\n<p><strong> \u5b9e\u9a8c\u7ed3\u679c<\/strong><\/p>\n<p>\u6211\u4eec\u5c55\u793a\u4e86\u4f7f\u7528\u8bfe\u7a0b\u5f3a\u5316\u5fae\u8c03\uff08Curr-ReFT\uff09\u8bad\u7ec3\u7684\u6a21\u578b\u5728\u591a\u6a21\u6001\u4efb\u52a1\u4e0a\u7684\u663e\u8457\u6027\u80fd\u63d0\u5347\uff0c\u7279\u522b\u662f\u5728\u8de8\u9886\u57df\u6cdb\u5316\u80fd\u529b\u548c\u590d\u6742\u63a8\u7406\u4efb\u52a1\u65b9\u9762\u3002<\/p>\n<p>\u4e0e\u4f20\u7edf\u7684\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\u65b9\u6cd5\u76f8\u6bd4\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u51c6\u786e\u7387\uff0c\u8fd8\u589e\u5f3a\u4e86\u6a21\u578b\u5904\u7406\u672a\u89c1\u8fc7\u7684\u6570\u636e\u7684\u80fd\u529b\u3002\u4ee5\u4e0b\u8868\u683c\u5c55\u793a\u4e86\u4e0d\u540c\u8bad\u7ec3\u65b9\u6cd5\u5728\u57df\u5185\u548c\u57df\u5916\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u5bf9\u6bd4\u3002\u5177\u4f53\u5305\u62ec\u4f20\u7edf\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\u548c\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u4e24\u79cd\u65b9\u6cd5\uff1a<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-f436117e2c1f6b0f361b760468d46a36.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-f436117e2c1f6b0f361b760468d46a36.png\"><\/a><\/section>\n<p>\u901a\u8fc7\u8fd9\u4e9b\u5b9e\u9a8c\u7ed3\u679c\u53ef\u4ee5\u770b\u51fa\uff0c\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\uff08RL\uff09\u65b9\u6cd5\u5728\u63d0\u9ad8\u6a21\u578b\u7684\u57df\u5185\u548c\u57df\u5916\u8868\u73b0\u65b9\u9762\u5177\u6709\u663e\u8457\u4f18\u52bf\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u672a\u89c1\u8fc7\u7684\u6570\u636e\u65f6\uff0c\u80fd\u591f\u4fdd\u6301\u8f83\u9ad8\u7684\u51c6\u786e\u7387\u3002<\/p>\n<p>Visual Datasets \u4e0a\u4e0d\u540c\u65b9\u6cd5\u6a21\u578b\u7684\u6d4b\u8bd5\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-86d4f29e1826ca200ee4fc0f7c9da151.png\" data-fancybox=\"images\" 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