{"id":38544,"date":"2025-02-18T10:00:58","date_gmt":"2025-02-18T02:00:58","guid":{"rendered":"https:\/\/17aitech.com\/?p=38544"},"modified":"2025-02-18T10:00:58","modified_gmt":"2025-02-18T02:00:58","slug":"%e8%ae%a9%e3%80%8cgpt-4v%e3%80%8d%e8%b7%91%e5%9c%a8%e6%89%8b%e6%9c%ba%e4%b8%8a%ef%bc%8c%e8%bf%99%e5%ae%b6%e4%b8%ad%e5%9b%bd%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%85%ac%e5%8f%b8%e5%81%9a%e5%88%b0%e4%ba%86","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38544","title":{"rendered":"\u8ba9\u300cGPT-4V\u300d\u8dd1\u5728\u624b\u673a\u4e0a\uff0c\u8fd9\u5bb6\u4e2d\u56fd\u5927\u6a21\u578b\u516c\u53f8\u505a\u5230\u4e86"},"content":{"rendered":"

\u771f\u5b9e\u4e16\u754c\u7684\u89c6\u89c9\u4fe1\u606f\u662f\u6d41\u52a8\u7684\uff0c\u800c\u5728\u5904\u7406\u6d41\u52a8\u6027\u7684\u89c6\u89c9\u4fe1\u606f\u4e0a\uff0c\u7aef\u4fa7\u89c6\u9891\u7406\u89e3\u5177\u6709\u5929\u7136\u4f18\u52bf\uff0c\u624b\u673a\u3001PC\u3001AR\u3001\u673a\u5668\u4eba\u3001\u667a\u80fd\u5ea7\u9a7e\u7b49\u7aef\u4fa7\u8bbe\u5907\u81ea\u5e26\u7684\u6444\u50cf\u5934\uff0c\u5177\u6709\u5929\u7136\u7684\u591a\u6a21\u6001\u8f93\u5165\u80fd\u529b\u3002<\/p>\n

\u4e0e\u4e91\u7aef\u76f8\u6bd4\uff0c\u7aef\u4fa7\u79bb\u7528\u6237\u66f4\u8fd1\uff0c\u94fe\u8def\u66f4\u77ed\uff0c\u6548\u7387\u66f4\u9ad8\uff0c\u540c\u65f6\u5177\u6709\u66f4\u5f3a\u7684\u4fe1\u606f\u5b89\u5168\u4f18\u52bf\u3002<\/p>\n

\u4eca\u65e5\uff0c\u9762\u58c1\u6b63\u5f0f\u53d1\u5e03\u4e86 MiniCPM-V 2.6\uff0c\u5728\u7aef\u4fa7\u6027\u80fd\u5b9e\u73b0\u5168\u9762\u5bf9\u6807 GPT-4V\u2014\u2014<\/p>\n

\u636e\u4ecb\u7ecd\uff0cMiniCPM-V 2.6 \u9996\u6b21\u5728\u7aef\u4fa7\u5b9e\u73b0\u5355\u56fe\u3001\u591a\u56fe\u3001\u89c6\u9891\u7406\u89e3\u7b49\u591a\u6a21\u6001\u6838\u5fc3\u80fd\u529b\u5168\u9762\u8d85\u8d8aGPT-4V\uff0c\u4e09\u9879\u80fd\u529b\u5747\u53d6\u5f97 20B \u4ee5\u4e0b SOTA \u6210\u7ee9\uff0c\u5355\u56fe\u7406\u89e3\u8d8a\u7ea7\u6bd4\u80a9 Gemini 1.5 Pro \u548c GPT-4o mini \u3002<\/p>\n

\u800c\u7c7b\u6bd4\u77e5\u8bc6\u5bc6\u5ea6\u6765\u770b\uff0c\u5f97\u76ca\u4e8e\u89c6\u89c9 token \u76f8\u6bd4\u4e0a\u4e00\u4ee3\u4e0b\u964d 30% \uff0c\u6bd4\u540c\u7c7b\u6a21\u578b\u4f4e 75%\uff0cMiniCPM-V 2.6 \u53d6\u5f97\u4e86\u4e24\u500d\u4e8e GPT-4o \u7684\u5355 token \u7f16\u7801\u50cf\u7d20\u5bc6\u5ea6\uff08token density\uff09\u3002<\/p>\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u9762\u58c1\u8fd8\u5c06\u201c\u5b9e\u65f6\u201d\u89c6\u9891\u7406\u89e3\u3001\u591a\u56fe\u8054\u5408\u7406\u89e3\u3001\u591a\u56fe ICL\u7b49\u80fd\u529b\u9996\u6b21\u642c\u4e0a\u4e86\u7aef\u4fa7\u3002<\/p>\n

\u91cf\u5316\u540e\u7aef\u4fa7\u5185\u5b58\u4ec5\u5360 6 GB\uff0c\u7aef\u4fa7\u63a8\u7406\u901f\u5ea6\u8fbe 18 tokens\/s\uff0c\u76f8\u6bd4\u4e0a\u4ee3\u6a21\u578b\u5feb 33%\u3002\u5e76\u4e14\u53d1\u5e03\u5373\u652f\u6301 llama.cpp\u3001ollama\u3001vllm \u63a8\u7406\uff0c\u4e14\u652f\u6301\u591a\u79cd\u8bed\u8a00\u3002<\/p>\n

\u5b9e\u65f6\u89c6\u9891\u3001\u591a\u56fe\u8054\u5408\u7406\u89e3\uff0c\u9996\u6b21\u4e0a\u7aef<\/span><\/strong><\/p>\n

\u6709\u4e86\u5b9e\u65f6\u89c6\u9891\u7406\u89e3\u529f\u80fd\uff0c\u5927\u6a21\u578b\u72b9\u5982\u62e5\u6709\u4e00\u53cc\u201c\u773c\u775b\u201d\uff0c\u80fd\u591f\u5b9e\u65f6\u770b\u5230\u771f\u5b9e\u4e16\u754c\uff0c\u8fd9\u662f\u591a\u6a21\u6001\u5927\u6a21\u578b\u8d70\u5411\u5177\u8eab\u667a\u80fd\u7b49\u66f4\u591a\u5b9e\u9645\u9886\u57df\uff0c\u5b9e\u73b0 AGI \u7684\u5fc5\u8981\u6761\u4ef6\u4e4b\u4e00\uff0c\u6b64\u5916\u5b9e\u65f6\u89c6\u9891\u7406\u89e3\u529f\u80fd\u63d0\u5347\u4eba\u673a\u4ea4\u4e92\u7684\u81ea\u7136\u5ea6\u3002<\/p>\n

\u6b64\u6b21\uff0c\u9762\u58c1\u65b0\u53d1\u5e03\u7684 MiniCPM-V 2.6 \u8ba9\u5b9e\u65f6\u89c6\u9891\u7406\u89e3\u529f\u80fd\u9996\u6b21\u8fd0\u884c\u5728\u4e86\u7aef\u4fa7\u3002<\/p>\n

\u6b64\u5916\uff0c\u5bf9\u4e8e\u300c\u592a\u957f\u4e0d\u770b\u300d\u7684\u89c6\u9891\uff0c\u73b0\u5728\u53ef\u4ee5\u76f4\u63a5\u628a\u6587\u4ef6\u62d6\u8fdb\u6765\uff0c\u8ba9\u6a21\u578b\u4e3a\u4f60\u603b\u7ed3\u91cd\u70b9\u4fe1\u606f\uff0c\u4e0d\u7528\u770b\u5b8c\u3001\u4e0d\u7528\u500d\u901f\u3001\u4e5f\u4e0d\u7528\u5feb\u8fdb\u3002<\/p>\n

\u8fd9\u6bb5 1 \u5206\u949f\u5de6\u53f3\u7684\u5929\u6c14\u9884\u62a5\u89c6\u9891\uff0cMiniCPM-V 2.6 \u80fd\u5728\u6ca1\u6709\u542c\u5230\u4efb\u4f55\u8bed\u97f3\u7684\u60c5\u51b5\u4e0b\uff0c\u53d1\u6325\u5f3a\u5927\u7684\u89c6\u9891OCR\u529f\u80fd\uff0c\u8bc6\u522b\u51fa\u89c6\u9891\u753b\u9762\u91cc\u5bc6\u96c6\u7684\u6587\u5b57\uff0c\u7ed9\u51fa\u4e0d\u540c\u89c6\u9891\u6bb5\u843d\u4e2d\u4e0d\u540c\u57ce\u5e02\u7684\u8be6\u7ec6\u5929\u6c14\u63cf\u8ff0\uff1a<\/p>\n

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

MiniCPM-V 2.6 \u7684\u56de\u7b54\uff08\u6ce8\uff1a\u8be5\u7ed3\u679c\u4e3a\u4ee3\u7801\u73af\u5883\u4e2d\u590d\u73b0\uff09<\/p>\n

\u9664\u89c6\u9891\u591a\u6a21\u6001\u5916\uff0c\u5728\u591a\u56fe\u7406\u89e3\u65b9\u9762\uff0c\u6700\u65b0\u53d1\u5e03\u7684\u00a0MiniCPM-V 2.6 \u8fd8\u9996\u6b21\u5c06\u591a\u56fe\u8054\u5408\u7406\u89e3\u3001\u591a\u56feICL\uff08\u4e0a\u4e0b\u6587\u5c11\u6837\u672c\u5b66\u4e60 \uff09\u529f\u80fd\u96c6\u6210\u5728\u7aef\u4fa7\u6a21\u578b\uff0c\u8fd9\u4e5f\u662f\u6b64\u524d GPT-4V \u5f15\u4ee5\u4e3a\u50b2\u7684\u80fd\u529b\u3002<\/p>\n

\u5728\u591a\u56fe\u8054\u5408\u7406\u89e3\u65b9\u9762\uff0c\u9762\u58c1\u4f8b\u4e3e\u4e86\u5982\u4e0b\u573a\u666f\u2014\u2014\u8bb0\u8d26\u6216\u62a5\u9500\u96be\u9898\u4ee4\u4eba\u5934\u75bc\uff0c\u5c0f\u7968\u4e0a\u5bc6\u5bc6\u9ebb\u9ebb\u7684\u6570\u5b57\u96be\u4ee5\u8fa8\u522b\uff0c\u66f4\u522b\u63d0\u8fdb\u884c\u7e41\u7410\u7684\u603b\u8d26\u8ba1\u7b97\u3002<\/p>\n

\u6b64\u65f6\uff0c\u53ef\u4ee5\u62cd\u7167\u5168\u90e8\u7529\u7ed9 MiniCPM-V 2.6\uff0c\u5728 OCR \u80fd\u529b+CoT \uff08\u601d\u7ef4\u94fe\uff09\u80fd\u529b\u7684\u52a0\u6301\u4e0b\uff0cMiniCPM-V 2.6 \u53ef\u4ee5\u627e\u51fa\u6bcf\u5f20\u5c0f\u7968\u7684\u91d1\u989d\uff0c\u5e76\u8ba1\u7b97\u603b\u8d26\u3002<\/p>\n

\u4e0d\u4ec5\u5982\u6b64\uff0c\u5728\u7aef\u4fa7\u591a\u6a21\u6001\u63a8\u7406\u80fd\u529b\u65b9\u9762\uff0cMiniCPM-V 2.6 \u4e5f\u987a\u5229\u8ffd\u8d76 GPT-4V\u3002<\/p>\n

\u6bd4\u5982\u8fd9\u9053 GPT-4V \u5b98\u65b9\u6f14\u793a\u7ecf\u5178\u547d\u9898\uff1a\u8c03\u6574\u81ea\u884c\u8f66\u8f66\u5ea7\u3002\u8fd9\u4e2a\u5bf9\u4eba\u5f88\u7b80\u5355\u7684\u95ee\u9898\u5bf9\u6a21\u578b\u5374\u975e\u5e38\u56f0\u96be\uff0c\u5b83\u975e\u5e38\u8003\u9a8c\u591a\u6a21\u6001\u6a21\u578b\u7684\u590d\u6742\u63a8\u7406\u80fd\u529b\u548c\u5bf9\u7269\u7406\u5e38\u8bc6\u7684\u638c\u63e1\u80fd\u529b\u3002<\/p>\n

\u4ec5 8B \u7684 MiniCPM-V 2.6 \u5c55\u73b0\u51fa\u987a\u5229\u5b8c\u6210\u8fd9\u9879\u6311\u6218\u7684\u6f5c\u529b\uff0c\u901a\u8fc7\u548c\u6a21\u578b\u8fdb\u884c\u591a\u56fe\u591a\u8f6e\u5bf9\u8bdd\uff0c\u5b83\u6e05\u6670\u5730\u544a\u77e5\u5b8c\u6210\u8c03\u4f4e\u81ea\u884c\u8f66\u8f66\u5ea7\u7684\u6bcf\u4e00\u4e2a\u8be6\u7ec6\u6b65\u9aa4\uff0c\u8fd8\u80fd\u6839\u636e\u8bf4\u660e\u4e66\u548c\u5de5\u5177\u7bb1\u5e2e\u4f60\u627e\u5230\u5408\u9002\u7684\u5de5\u5177\u3002<\/p>\n

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

MiniCPM-V 2.6 \u7684\u201c\u8c03\u6574\u81ea\u884c\u8f66\u8f66\u5ea7\u201d\u6d4b\u8bd5<\/p>\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cMiniCPM-V 2.6 \u7684\u7406\u89e3\u80fd\u529b\u8fd8\u4e0d\u6b62\u6b65\u4e8e\u8868\u9762\uff0c\u5bf9\u4e8e\u6897\u56fe\u80cc\u540e\u7684\u69fd\u70b9\u4e5f\u80fd\u5c55\u5f00\u7406\u89e3\u3002<\/p>\n

\u6bd4\u5982\uff0c\u8ba9 MiniCPM-V 2.6 \u89e3\u91ca\u4e0b\u9762\u4e24\u5f20\u56fe\u80cc\u540e\u7684\u6545\u4e8b\uff1a<\/p>\n

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

MiniCPM-V 2.6 \u80fd\u591f\u901a\u8fc7OCR\u8bc6\u522b\u5230\u4e24\u5f20\u56fe\u7247\u4e0a\u7684\u6587\u5b57\uff1a\u201cWFH Employees 8:59 AM\u201d\u548c \u201cWFH Employees 9:00 AM\u201d\uff0c\u5e76\u8fdb\u4e00\u6b65\u63a8\u7406\u51fa\u201cWFH\u201d\u5c45\u5bb6\u529e\u516c\u72b6\u6001\u3002<\/p>\n

\u968f\u540e\uff0c\u7ed3\u5408\u4e24\u5f20\u56fe\u7247\u7684\u89c6\u89c9\u4fe1\u606f\u8054\u5408\u63a8\u7406\u51fa\u201c\u5de5\u4f5c\u5728\u5bb6\u65f6\uff0c8:59\u8fd8\u5728\u5e8a\u4e0a\u7761\u89c9\uff0c9\u70b9\u7acb\u9a6c\u51fa\u73b0\u5728\u89c6\u9891\u4f1a\u8bae\u4e0a\u201d\u7684\u5c45\u5bb6\u529e\u516c\u7684\u201c\u6293\u72c2\u201d\u72b6\u6001\u3002<\/p>\n

\u5f53\u7136\uff0cMiniCPM-V 2.6 \u7684\u5355\u56fe\u7406\u89e3\u80fd\u529b\u4e5f\u8f83\u4e3a\u7406\u60f3\uff0c\u5176\u4e5f\u80fd\u63e3\u6d4b\u51fa\u6897\u56fe\u4e2d\u5f88\u591a\u672a\u660e\u663e\u9732\u51fa\u7684\u6f5c\u53f0\u8bcd\u3002<\/p>\n

\u800c\u5c31\u591a\u56fe ICL \u7406\u89e3\u800c\u8a00\uff0c\u4e0a\u4e0b\u6587\u5c11\u6837\u672c\u5b66\u4e60\u80fd\u8ba9\u6a21\u578b\u65e0\u9700 fine-tune\uff0c\u5373\u53ef\u5feb\u901f\u9002\u914d\u5230\u7279\u5b9a\u9886\u57df\u548c\u4efb\u52a1\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u8f93\u51fa\u7a33\u5b9a\u6027\u3002\u5bf9\u6b64\uff0cMiniCPM-V 2.6 \u4e5f\u4ea4\u51fa\u201c\u7b54\u5377\u201d\uff1a<\/p>\n

\u63d0\u4f9b\u7ed9 MiniCPM-V 2.6 \u4e24\u7ec4\u795e\u8f6c\u6298\u753b\u9762\uff0c\u4ee5\u53ca\u5bf9\u753b\u9762\u4e2d\u7684\u201c\u6897\u201d\u7ed9\u51fa\u793a\u610f\u6587\u5b57\u63cf\u8ff0\uff0c\u4f8b\u5982\u4e00\u4e2a\u6234\u7740\u624b\u5957\u3001\u91cd\u89c6\u536b\u751f\u7684\u53a8\u5e08\uff0c\u4e0b\u4e00\u79d2\u5374\u7528\u6234\u624b\u5957\u7684\u624b\u76f4\u63a5\u53bb\u62ff\u5b9e\u9645\u6709\u4e9b\u80ae\u810f\u7684\u7eb8\u5e01\uff1b\u4e00\u4e2a\u770b\u4f3c\u70ed\u8877\u73af\u4fdd\u7684\u4eba\uff0c\u5374\u628a\u5851\u6599\u74f6\u88c5\u6c34\u6253\u5f00\u88c5\u8fdb\u73af\u4fdd\u6c34\u58f6\u2026\u2026<\/p>\n

MiniCPM-V 2.6 \u80fd\u591f\u81ea\u52a8\u4ece\u524d\u9762\u4e24\u7ec4\u56fe\u6587\u5173\u7cfb\uff0c\u63e3\u6469\u51fa\u9898\u4eba\u7684\u610f\u56fe\uff0c\u5e76\u81ea\u52a8\u5b66\u4f1a\u201c\u7b54\u9898\u6a21\u7248\u201d\uff0c\u7ed9\u51fa\u795e\u8f6c\u6298\u7b54\u6848\u2014\u2014 \u4e00\u4e2a\u4eba\u624b\u63e1\u5927\u91cf\u52a0\u5bc6\u6570\u5b57\u8d27\u5e01\uff0c\u53ef\u4f60\u731c\u600e\u4e48\u7740\uff0c\u4ed6\u51fa\u95e8\u8d2d\u7269\uff0c\u53ef\u662f\u5546\u5e97\u5374\u7adf\u7136\u53ea\u6536\u73b0\u91d1\uff01<\/p>\n

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

\u6027\u80fd\u5168\u9762\u5bf9\u6807 GPT-4V<\/span><\/strong>\u00a0<\/span><\/p>\n

\u4ee5\u5c0f\u535a\u5927\uff0c\u662f\u7aef\u4fa7\u6a21\u578b\u7684\u6838\u5fc3\u7ade\u4e89\u529b\u3002<\/p>\n

\u800c\u9762\u58c1 MiniCPM-V 2.6 \u4ee5 8B \u53c2\u6570\uff0c\u5728\u7efc\u5408\u6027\u80fd\u4e0a\u8ffd\u8d76\u4e0a GPT-4V \u7684\u540c\u65f6\uff0c\u9996\u6b21\u4f5c\u4e3a\u7aef\u4fa7\u6a21\u578b\uff0c\u6380\u5f00\u5355\u56fe\u3001\u591a\u56fe\u3001\u89c6\u9891\u7406\u89e3\u4e09\u9879\u591a\u6a21\u6001\u6838\u5fc3\u80fd\u529b\u5168\u9762\u8d76\u8d85 GPT-4V \u7684\u65b0\u683c\u5c40\uff0c\u4e14\u5747\u5b9e\u73b0 20B \u53c2\u6570\u4ee5\u4e0b\u6a21\u578b\u6027\u80fd SOTA\u3002<\/p>\n

\u5728 MiniCPM-V 2.6 \u7684\u77e5\u8bc6\u538b\u7f29\u7387\u65b9\u9762\uff0c\u6211\u4eec\u53d1\u73b0\uff0cMiniCPM-V 2.6 \u4f53\u73b0\u51fa\u6781\u81f4\u7684\u9ad8\u6548\uff0c\u53d6\u5f97\u4e86\u4e24\u500d\u4e8e GPT-4o \u7684\u6700\u9ad8\u591a\u6a21\u6001\u5927\u6a21\u578b\u50cf\u7d20\u5bc6\u5ea6\uff08Token Density\uff09 \u3002<\/p>\n

Token Density = \u7f16\u7801\u50cf\u7d20\u6570\u91cf \/ \u89c6\u89c9 token \u6570\u91cf\uff0c\u662f\u6307\u5355\u4e2a token \u627f\u8f7d\u7684\u50cf\u7d20\u5bc6\u5ea6\u5373\u56fe\u50cf\u4fe1\u606f\u5bc6\u5ea6\uff0c\u76f4\u63a5\u51b3\u5b9a\u4e86\u591a\u6a21\u6001\u6a21\u578b\u5b9e\u9645\u7684\u8fd0\u884c\u6548\u7387\uff0c\u6570\u503c\u8d8a\u5927\uff0c\u6a21\u578b\u8fd0\u884c\u6548\u7387\u8d8a\u9ad8\u3002<\/p>\n

\u5728\u9762\u58c1\u7684\u6d4b\u8bd5\u4e2d\uff0c\u95ed\u6e90\u6a21\u578b\u7684 Token Density \u7531 API \u6536\u8d39\u65b9\u5f0f\u4f30\u7b97\u5f97\u5230\u3002\u7ed3\u679c\u8868\u660e\uff0cMiniCPM-V 2.6 \u662f\u6240\u6709\u591a\u6a21\u6001\u6a21\u578b\u4e2d Token Density \u6700\u9ad8\u7684\u3002<\/p>\n

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

Token Density \u6bd4\u8f83\u7ed3\u679c<\/p>\n

\u5355\u56fe\u65b9\u9762\uff0c\u5728\u7efc\u5408\u8bc4\u6d4b\u6743\u5a01\u5e73\u53f0 OpenCompass \u4e0a\uff0cMiniCPM-V 2.6 \u7684\u5355\u56fe\u7406\u89e3\u80fd\u529b\u8d8a\u7ea7\u8d85\u8d8a Gemini 1.5 Pro \u548c GPT-4o mini \uff1b\u591a\u56fe\u65b9\u9762\uff0c\u5728\u591a\u56fe\u8bc4\u6d4b\u6743\u5a01\u5e73\u53f0 Mantis-Eval \u699c\u5355\u4e0a\uff0cMiniCPM-V 2.6 \u591a\u56fe\u8054\u5408\u7406\u89e3\u80fd\u529b\u5b9e\u73b0\u5f00\u6e90\u6a21\u578b SOTA \uff0c\u4e14\u8d85\u8d8a GPT-4V\uff1b\u800c\u5728\u89c6\u9891\u65b9\u9762\uff0c\u5728\u89c6\u9891\u8bc4\u6d4b\u6743\u5a01\u5e73\u53f0 Video-MME \u699c\u5355\u4e0a\uff0cMiniCPM-V 2.6 \u7684\u89c6\u9891\u7406\u89e3\u80fd\u529b\u8fbe\u5230\u7aef\u4fa7 SOTA\uff0c\u8d85\u8d8aGPT-4V\u3002<\/p>\n

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

\u4ece\u5de6\u5f80\u53f3\u4f9d\u6b21\u4e3a OpenCompass | Mantis-Eval | Video-MME\u00a0<\/p>\n

\u6b64\u5916\uff0c\u5728 OCRBench\u4e0a\uff0cMiniCPM-V 2.6 OCR \u6027\u80fd\u5b9e\u73b0\u5f00\u6e90+\u95ed\u6e90\u6a21\u578b SOTA\uff0c\u800c\u5728\u5e7b\u89c9\u8bc4\u6d4b\u699c\u5355 Object HalBench \u4e0a\uff0cMiniCPM-V 2.6 \u7684\u5e7b\u89c9\u6c34\u5e73\uff08\u5e7b\u89c9\u7387\u8d8a\u4f4e\u8d8a\u597d\uff09\u4e5f\u4f18\u4e8eGPT-4o\u3001GPT-4V\u3001Claude 3.5 Sonnet \u7b49\u4f17\u591a\u5546\u7528\u6a21\u578b\u3002<\/p>\n

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

Obiect HalBench\uff08\u5de6\uff09 OCRBench\uff08\u53f3\uff09<\/p>\n

\u9762\u58c1\u8ba4\u4e3a\uff0cMiniCPM-V 2.6 \u4e4b\u6240\u4ee5\u80fd\u5b9e\u73b0\u4ece\u5355\u4e00\u5230\u5168\u9762\u7684\u4f18\u52bf\u8dc3\u8fdb\uff0c\u9664\u4e86 Qwen2-7B \u57fa\u5ea7\u6a21\u578b\u7684\u6027\u80fd\u52a0\u6301\u4e4b\u5916\uff0c\u4e5f\u5f52\u529f\u4e8e\u91c7\u7528\u4e86\u7edf\u4e00\u9ad8\u6e05\u89c6\u89c9\u67b6\u6784\uff0c\u8ba9\u4f20\u7edf\u5355\u56fe\u7684\u591a\u6a21\u6001\u4f18\u52bf\u529f\u80fd\u5f97\u4ee5\u7ee7\u627f\uff0c\u5e76\u5b9e\u73b0\u4e86\u4e00\u901a\u767e\u901a\u3002<\/p>\n

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

\u7edf\u4e00\u9ad8\u6e05\u89c6\u89c9\u67b6\u6784<\/p>\n

\u4ee5 OCR SOTA \u80fd\u529b\u4e3a\u4f8b\uff0c\u5b83\u80fd\u591f\u5c06 MiniCPM-V \u5355\u56fe\u573a\u666f\u7684\u201c180\u4e07\u9ad8\u6e05\u56fe\u50cf\u89e3\u6790\u201d\u8fdb\u884c\u80fd\u529b\u8fc1\u79fb\u548c\u77e5\u8bc6\u5171\u4eab\uff0c\u65e0\u7f1d\u62d3\u5c55\u81f3\u591a\u56fe\u573a\u666f\u548c\u89c6\u9891\u573a\u666f\uff0c\u5e76\u5c06\u8fd9\u4e09\u79cd\u89c6\u89c9\u7406\u89e3\u573a\u666f\u7edf\u4e00\u5f62\u5f0f\u5316\u4e3a\u56fe\u6587\u4ea4\u66ff\u7684\u8bed\u4e49\u5efa\u6a21\u95ee\u9898\uff0c\u5171\u4eab\u5e95\u5c42\u89c6\u89c9\u8868\u793a\u673a\u5236\uff0c\u5b9e\u73b0\u76f8\u6bd4\u540c\u7c7b\u578b\u6a21\u578b\uff0c\u89c6\u89c9 token \u6570\u91cf\u8282\u7701\u8d85\u8fc7 75% \u3002<\/p>\n

\u800c\u5728 OCR \u4fe1\u606f\u63d0\u53d6\u7684\u57fa\u7840\u4e0a\uff0cMiniCPM-V 2.6 \u8fd8\u80fd\u8fdb\u4e00\u6b65\u5bf9\u8868\u683c\u4fe1\u606f\u8fdb\u884c\u7c7b\u4f3c CoT\uff08\u601d\u7ef4\u94fe\uff09\u7684\u590d\u6742\u63a8\u7406\u3002\u6bd4\u5982\u8ba9\u6a21\u578b\u8ba1\u7b97 2008 \u5e74\u5965\u8fd0\u4f1a\u83b7\u5f97\u91d1\u724c\u6570\u6700\u591a\u7684 3 \u4e2a\u56fd\u5bb6\u4e00\u5171\u83b7\u5f97\u4e86\u591a\u5c11\u679a\u91d1\u724c\uff0cCoT \u7684\u8fc7\u7a0b\u4e3a\uff0c\u9996\u5148\u5229\u7528 OCR \u80fd\u529b\u8bc6\u522b\u5e76\u63d0\u53d6\u51fa\u5956\u724c\u699c\u4e2d\u91d1\u724c\u6570\u91cf\u7684\u524d\u4e09\u540d\u56fd\u5bb6\uff1b\u518d\u5c06\u524d\u4e09\u540d\u56fd\u5bb6\u7684\u91d1\u724c\u603b\u6570\u76f8\u52a0\u3002<\/p>\n

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

8.2%\u7684\u8d85\u4f4e\u5e7b\u89c9\u7387\uff0c\u4ea6\u662f\u53d1\u6325\u4e86\u5c0f\u94a2\u70ae\u7cfb\u5217AI\u53ef\u4fe1\u65b9\u9762\u7684\u4f20\u7edf\u4f18\u52bf\u3002<\/p>\n

\u6b64\u5916\uff0c\u9762\u58c1\u8fd8\u901a\u8fc7 Ultra \u7cfb\u5217\u5bf9\u9f50\u6280\u672f\uff0c\u589e\u5f3a\u4e86MiniCPM-V 2.6 \u7684\u590d\u6742\u63a8\u7406\u80fd\u529b\u548c\u901a\u7528\u57df\u591a\u56fe\u8054\u5408\u7406\u89e3\u80fd\u529b\uff1a<\/p>\n

\u5728\u591a\u6a21\u6001\u590d\u6742\u63a8\u7406\u80fd\u529b\u5bf9\u9f50\u65b9\u9762\uff0cMiniCPM-V 2.6 \u901a\u8fc7\u590d\u6742\u9898\u76ee\u7684 CoT \u89e3\u7b54\u6570\u636e\uff0c\u6784\u9020\u9ad8\u6548\u5bf9\u9f50\u79cd\u5b50\u6570\u636e\uff0c\u5e76\u901a\u8fc7\u6a21\u578b\u81ea\u8fed\u4ee3\u5b8c\u6210\u6570\u636e\u51c0\u5316\u548c\u77e5\u8bc6\u5b66\u4e60\u3002<\/p>\n

\u5728\u591a\u56fe\u8054\u5408\u7406\u89e3\u65b9\u9762\uff0cMiniCPM-V 2.6 \u4ece\u901a\u7528\u57df\u81ea\u7136\u7f51\u9875\u4e2d\u7ed3\u5408\u6587\u672c\u7ebf\u7d22\u6316\u6398\u591a\u56fe\u5173\u8054\u8bed\u4e49\uff0c\u5b9e\u73b0\u591a\u56fe\u8054\u5408\u7406\u89e3\u6570\u636e\u7684\u9ad8\u6548\u6784\u9020\u3002<\/p>\n

\u9664\u9762\u58c1\u5916\uff0c\u8fd1\u6765\uff0c\u56fd\u5185\u5176\u4ed6\u5927\u6a21\u578b\u56e2\u961f\u4e5f\u90fd\u5728\u591a\u6a21\u6001\u65b9\u9762\u536f\u8db3\u5168\u529b\u3002<\/p>\n

7\u6708\uff0c\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u53d1\u5e03\u4e66\u751f\u00b7\u6d66\u8bed\u7075\u7b14\uff08InternLM-XComposer\uff09\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684 2.5 \u7248\u672c\uff0c\u89c4\u6a21\u4e3a7B\u3002<\/p>\n

\u5b98\u65b9\u4ecb\u7ecd\u79f0\uff0cIXC-2.5 \u53ef\u4ee5\u652f\u6301 24K \u591a\u6a21\u6001\u56fe\u6587\u4e0a\u4e0b\u6587\uff0c\u8d85\u8fc7 20 \u8f6e\u56fe\u6587\u4ea4\u4e92\uff0c\u5177\u5907\u56fe\u50cf\u89c6\u9891\u7406\u89e3\u3001\u7f51\u9875\u521b\u4f5c\u3001\u56fe\u6587\u5199\u4f5c\u7b49\u591a\u9879\u529f\u80fd\u3002<\/p>\n

\u4e0e\u524d\u4e00\u7248\u76f8\u6bd4\uff0cIXC-2.5 \u5728\u89c6\u89c9\u8bed\u8a00\u7406\u89e3\u65b9\u9762\u4e3b\u8981\u8fdb\u884c\u4e86\u5305\u62ec\u8d85\u8fc7 4K \u5206\u8fa8\u7387\u7684\u56fe\u50cf\u7406\u89e3\u3001\u591a\u8f6e\u591a\u56fe\u8d85\u957f\u5bf9\u8bdd\u3001\u7cbe\u7ec6\u89c6\u9891\u5185\u5bb9\u5206\u6790\u5728\u5185\u7684\u4e09\u9879\u5347\u7ea7\u3002<\/p>\n

\u521a\u521a\u8fc7\u53bb\u7684\u4e16\u754c\u4eba\u5de5\u667a\u80fd\u5927\u4f1a\uff08WAIC\uff09\u671f\u95f4\uff0c\u8054\u6c47\u79d1\u6280\u4e5f\u5e26\u6765\u4e86\u7b2c\u4e8c\u4ee3\u591a\u6a21\u6001\u667a\u80fd\u4f53 OmAgent\uff0c\u76f8\u8f83\u4e8e\u53bb\u5e74\u53d1\u5e03\u7684\u7b2c\u4e00\u4ee3\uff0cOmChat V2 \u5728\u611f\u77e5\u6a21\u5757\u3001\u601d\u8003\u51b3\u7b56\u80fd\u529b\u7b49\u65b9\u9762\u8fdb\u884c\u4e86\u63d0\u5347\uff0c\u53ef\u4ee5\u770b\u51c6\u65f6\u5e8f\u5173\u7cfb\u3001\u591a\u56fe\u5173\u7cfb\u3002<\/p>\n

\u540c\u6837\u5728 WAIC \u671f\u95f4\u5e26\u6765\u591a\u6a21\u6001\u5927\u6a21\u578b\u6700\u65b0\u5347\u7ea7\u4ea7\u54c1\u7684\u8fd8\u6709\u5546\u6c64\u79d1\u6280\uff0c\u5546\u6c64\u5c06\u6d41\u5f0f\u4ea4\u4e92\u878d\u5165\u5927\u6a21\u578b\uff0c\u53d1\u5e03\u4e86\u56fd\u5185\u9996\u4e2a\u5177\u5907\u6d41\u5f0f\u539f\u751f\u591a\u6a21\u6001\u4ea4\u4e92\u80fd\u529b\u5927\u6a21\u578b\u201c\u65e5\u65e5\u65b0SenseNova 5.5\u201d\uff0c\u7efc\u5408\u6027\u80fd\u8f83 5.0 \u7248\u672c\u63d0\u5347\u4e86 30%\uff0c\u4ea4\u4e92\u6548\u679c\u548c\u591a\u9879\u6838\u5fc3\u6307\u6807\u5b9e\u73b0\u5bf9\u6807 GPT-4o\u3002<\/p>\n

\u6b64\u5916\uff0c\u5546\u6c64\u5347\u7ea7\u7248\u7684\u7aef\u4fa7\u6a21\u578b\u201c\u65e5\u65e5\u65b0 5.5 Lite\u201d\uff0c\u76f8\u6bd4 4 \u6708\u7684 5.0 \u7248\u6a21\u578b\u7cbe\u5ea6\u63d0\u534710%\uff0c\u63a8\u7406\u6548\u7387\u63d0\u534715%\uff0c\u9996\u5305\u5ef6\u8fdf\u964d\u4f4e40%\u3002\u96f7\u5cf0\u7f51\u96f7\u5cf0\u7f51(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span><\/span><\/p>\n

<\/p>\n

\u96f7\u5cf0\u7f51\u539f\u521b\u6587\u7ae0\uff0c\u672a\u7ecf\u6388\u6743\u7981\u6b62\u8f6c\u8f7d\u3002\u8be6\u60c5\u89c1\u8f6c\u8f7d\u987b\u77e5<\/a>\u3002<\/p>\n

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

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