{"id":39844,"date":"2025-04-02T07:02:43","date_gmt":"2025-04-01T23:02:43","guid":{"rendered":"https:\/\/17aitech.com\/?p=39844"},"modified":"2025-04-02T07:02:43","modified_gmt":"2025-04-01T23:02:43","slug":"iclr-2025-oral-idea%e8%81%94%e5%90%88%e6%b8%85%e5%8d%8e%e5%8c%97%e5%a4%a7%e6%8f%90%e5%87%bachartmoe%ef%bc%9a%e6%8e%a2%e7%a9%b6%e4%b8%8b%e6%b8%b8%e4%bb%bb%e5%8a%a1%e4%b8%ad%e5%a4%9a%e6%a0%b7%e5%8c%96","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39844","title":{"rendered":"ICLR 2025 Oral | IDEA\u8054\u5408\u6e05\u534e\u5317\u5927\u63d0\u51faChartMoE\uff1a\u63a2\u7a76\u4e0b\u6e38\u4efb\u52a1\u4e2d\u591a\u6837\u5316\u5bf9\u9f50MoE\u7684\u8868\u5f81\u548c\u77e5\u8bc6"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-04-01-3\" target=\"_blank\">ICLR 2025 Oral | IDEA\u8054\u5408\u6e05\u534e\u5317\u5927\u63d0\u51faChartMoE\uff1a\u63a2\u7a76\u4e0b\u6e38\u4efb\u52a1\u4e2d\u591a\u6837\u5316\u5bf9\u9f50MoE\u7684\u8868\u5f81\u548c\u77e5\u8bc6<\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ad862a1a5fdfe963232178eb3511d98a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ad862a1a5fdfe963232178eb3511d98a.png\"><\/a><\/p>\n<p>\u6700\u8fd1\uff0c\u5168\u7403 AI \u548c\u673a\u5668\u5b66\u4e60\u9876\u4f1a ICLR 2025 \u516c\u5e03\u4e86\u8bba\u6587\u5f55\u53d6\u7ed3\u679c\uff1a\u7531 IDEA\u3001\u6e05\u534e\u5927\u5b66\u3001\u5317\u4eac\u5927\u5b66\u3001\u9999\u6e2f\u79d1\u6280\u5927\u5b66\uff08\u5e7f\u5dde\uff09\u8054\u5408\u56e2\u961f\u63d0\u51fa\u7684 ChartMoE \u6210\u529f\u5165\u9009 Oral (\u53e3\u5934\u62a5\u544a) \u8bba\u6587\u3002\u636e\u4e86\u89e3\uff0c\u672c\u5c4a\u5927\u4f1a\u5171\u6536\u5230 11672 \u7bc7\u8bba\u6587\uff0c\u88ab\u9009\u4e2d\u505a Oral Presentation\uff08\u53e3\u5934\u62a5\u544a\uff09\u7684\u6bd4\u4f8b\u7ea6\u4e3a 1.8%<\/p>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-6ffd1c8fb5d964ff966f4f1f14ff7265.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-6ffd1c8fb5d964ff966f4f1f14ff7265.png\"><\/a><\/section>\n<ul>\n<li>\n<section>\u8bba\u6587\u94fe\u63a5\uff1a<span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>https:\/\/arxiv.org\/abs\/2409.03277<\/span><\/section>\n<\/li>\n<li>\n<section>\u4ee3\u7801\u94fe\u63a5\uff1a<span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>https:\/\/github.com\/IDEA-FinAI\/ChartMoE<\/span><\/section>\n<\/li>\n<li>\n<section>\u6a21\u578b\u94fe\u63a5\uff1a<span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>https:\/\/huggingface.co\/IDEA-FinAI\/chartmoe<\/span><\/section>\n<\/li>\n<li>\n<section><span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>\u6570\u636e\u94fe\u63a5\uff1a<\/span><span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>https:\/\/huggingface.co\/datasets\/Coobiw\/ChartMoE-Data<\/span><\/section>\n<\/li>\n<\/ul>\n<p data-pm-slice=\"0 0 []\" data-v-md-heading=\"\u7814\u7a76\u52a8\u673a\u4e0e\u4e3b\u8981\u8d21\u732e\" data-v-md-line=\"1\">\u7814\u7a76\u52a8\u673a\u4e0e\u4e3b\u8981\u8d21\u732e\uff1a<\/p>\n<ul>\n<li>\n<p>\u4e0d\u540c\u4e8e\u73b0\u9636\u6bb5\u4f7f\u7528 MoE \u67b6\u6784\u7684\u539f\u59cb\u52a8\u673a\uff0cChartMoE \u7684\u76ee\u6807\u4e0d\u662f\u6269\u5c55\u6a21\u578b\u7684\u5bb9\u91cf\uff0c\u800c\u662f\u63a2\u7a76 MoE \u8fd9\u79cd Sparse \u7ed3\u6784\u5728\u4e0b\u6e38\u4efb\u52a1\u4e0a\u7684\u5e94\u7528\uff0c\u901a\u8fc7\u5bf9\u9f50\u4efb\u52a1\u6765\u589e\u5f3a\u6a21\u578b\u5bf9\u56fe\u8868\u7684\u7406\u89e3\u80fd\u529b\uff0c\u540c\u65f6\u4fdd\u6301\u5728\u5176\u4ed6\u901a\u7528\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p>\u4e0d\u540c\u4e8e\u4e4b\u524d\u4f9d\u8d56 ramdom \u6216 co-upcycle \u521d\u59cb\u5316\u7684\u65b9\u6cd5\uff0cChartMoE \u5229\u7528\u591a\u6837\u7684\u5bf9\u9f50\u4efb\u52a1\u8fdb\u884c\u4e13\u5bb6\u521d\u59cb\u5316\u3002\u8fd9\u79cd\u65b9\u6cd5\u52a0\u5927\u4e86\u4e13\u5bb6\u95f4\u7684\u5f02\u8d28\u6027\uff0c\u4f7f ChartMoE \u53ef\u4ee5\u5b66\u4e60\u5230\u66f4\u5168\u9762\u7684\u89c6\u89c9\u8868\u5f81\uff0c\u5c55\u73b0\u51fa\u663e\u8457\u7684\u89e3\u91ca\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-b1e02ff5cb1866ef50419f36d897de56.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-b1e02ff5cb1866ef50419f36d897de56.png\"><\/a><\/section>\n<p>ChartMoE \u662f\u4e00\u4e2a\u4ee5 InternLM-XComposer2 \u6a21\u578b\u4e3a\u8bad\u7ec3\u8d77\u70b9\u3001\u5f15\u5165 MoE Connector \u7ed3\u6784\u7684\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5177\u6709\u5148\u8fdb\u7684\u56fe\u8868\u7406\u89e3\u3001\u56fe\u8868\u91cd\u7ed8\u3001\u56fe\u8868\u7f16\u8f91\u3001\u91cd\u8981\u90e8\u5206\u9ad8\u4eae\u3001\u8f6c\u6362\u56fe\u8868\u7c7b\u578b\u7b49\u80fd\u529b\u3002ChartMoE \u4e3a\u56fe\u8868\uff08Chart\uff09\u8fd9\u79cd\u72ec\u7279\u4e8e\u81ea\u7136\u56fe\u50cf\u7684\u8f93\u5165\uff0c\u8bbe\u8ba1\u4e86\u591a\u9636\u6bb5\u7684\u56fe\u6587\u5bf9\u9f50\u65b9\u5f0f\uff0c\u6bcf\u4e00\u4e2a\u9636\u6bb5\u4ea7\u7269\u90fd\u662f MoE Connector \u4e2d\u7684\u4e00\u4e2a\u4e13\u5bb6\uff0c\u8fd9\u6837\u7684\u8bad\u7ec3\u65b9\u5f0f\u548c\u6a21\u578b\u8bbe\u8ba1\u4e0d\u4ec5\u80fd\u83b7\u5f97\u66f4\u5168\u9762\u7684\u89c6\u89c9\u8868\u5f81\u3001\u663e\u8457\u63d0\u9ad8 MLLM \u7684\u56fe\u8868\u7406\u89e3\u80fd\u529b\uff0c\u8fd8\u53ef\u4ee5\u5728\u4e0d\u52a0\u5165\u901a\u7528\u6570\u636e\u7684\u60c5\u666f\u4e0b\uff0c\u51cf\u5c11\u6a21\u578b\u5bf9\u901a\u7528\u77e5\u8bc6\u7684\u9057\u5fd8\u3002<\/p>\n<p><strong>\u591a\u9636\u6bb5\u5bf9\u9f50\u8bad\u7ec3\u7684 MoE<\/strong><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-7cf60d17980cf925c3e7197d5567464f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-7cf60d17980cf925c3e7197d5567464f.png\"><\/a><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-4003dbb98f0b34aad008d7c893a4158f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-4003dbb98f0b34aad008d7c893a4158f.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u901a\u7528 MLLM\uff0c\u5982 LLaVA\uff0c\u4ed6\u4eec\u7684 training recipe \u901a\u5e38\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\uff0c\u7b2c\u4e00\u4e2a\u9636\u6bb5\u4f7f\u7528\u56fe\u6587\u5bf9\uff08image-text pair\uff09\u8bad\u7ec3 MLP Connector\uff0c\u7b2c\u4e8c\u9636\u6bb5 SFT \u8bad\u7ec3 MLP Connector + LLM\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd9\u79cd\u8303\u5f0f\u53ef\u4ee5\u5f88\u81ea\u7136\u7684\u8fc1\u79fb\u5230 Chart MLLM \u4e2d\uff0c\u5982\uff1aACL24 \u7684 ChartAst\uff0c\u4f7f\u7528\u6210\u5bf9\u7684 Chart-Table \u8fdb\u884c\u7b2c\u4e00\u9636\u6bb5\u7684\u56fe\u6587\u5bf9\u9f50\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u7136\u800c\uff0cTable \u8fd9\u79cd\u7ed3\u6784\u5316\u6587\u672c\u683c\u5f0f\uff0c\u5176\u4e2d\u4ec5\u5305\u542b\u4e86\u6bcf\u4e2a\u6570\u636e\u70b9\u7684\u6570\u503c\uff0c\u4ee5\u53ca xy \u8f74\u7684\u542b\u4e49\u7b49\u4fe1\u606f\uff0c\u51e0\u4e4e\u4e0d\u4fdd\u7559\u89c6\u89c9\u5143\u7d20\u4fe1\u606f\uff0c\u5982\uff1a\u989c\u8272\u3001\u56fe\u8868\u7c7b\u578b\u3001\u56fe\u5f62\u5143\u7d20\u7684\u76f8\u5bf9\u5173\u7cfb\u7b49\u3002\u6240\u4ee5\uff0cChartMoE \u5e0c\u671b\u91c7\u7528\u66f4\u591a\u6837\u3001\u66f4\u5168\u9762\u7684\u5bf9\u9f50\u65b9\u5f0f\uff0c\u5c06 Chart \u8f6c\u8bd1\u6210\u4e09\u79cd\u7ed3\u6784\u5316\u6587\u672c\u683c\u5f0f\uff1a<strong>Table\u3001JSON\u3001Python Code<\/strong>\u3002<\/p>\n<p>\u6211\u4eec\u4ee5\u5f00\u6e90\u6570\u636e\u96c6\uff08ChartQA\u3001PlotQA\u3001ChartY\uff09\u4e2d\u7684\u8868\u683c\u6570\u636e\u4f5c\u4e3a\u8d77\u59cb\u70b9\uff0c\u4e3a\u6bcf\u4e2a\u56fe\u8868\u7c7b\u578b\u4eba\u4e3a\u5b9a\u4e49\u4e86 JSON \u952e\uff0c\u901a\u8fc7 random \u751f\u6210\u3001GPT \u751f\u6210\u7b49\u65b9\u5f0f\u4e3a\u6bcf\u4e2a\u952e\u586b\u4e0a\u5bf9\u5e94\u7684\u503c\uff0c\u4ece\u800c\u6784\u5efa\u51fa JSON \u6570\u636e\u3002\u6b64\u540e\u53ef\u4ee5\u5c06 JSON \u4e2d\u7684\u952e\u503c\u5bf9\u586b\u5165\u5230\u6bcf\u4e2a\u56fe\u8868\u7c7b\u578b\u9884\u5b9a\u4e49\u597d\u7684\u4ee3\u7801\u6a21\u677f\u4e2d\u5f97\u5230 Python \u4ee3\u7801\u6765\u751f\u6210\u56fe\u8868\uff0c\u4ece\u800c\u6784\u6210 (Chart, Table, JSON, Code) \u56db\u5143\u7ec4\uff0c\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u91c7\u96c6\u4e86\u7ea6 900k \u6570\u636e\uff0c\u79f0\u4e3a ChartMoE-Align\u3002<\/p>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-75411587760d7da1f47ac8f87bcc9aa3.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-75411587760d7da1f47ac8f87bcc9aa3.png\"><\/a><\/section>\n<p>\u83b7\u53d6\u5230\u6570\u636e\u540e\uff0cChartMoE \u91c7\u7528 chart-to-table\u3001chart-to-json\u3001chart-to-code \u4e09\u79cd\u65b9\u5f0f\u8fdb\u884c\u56fe\u6587\u5bf9\u9f50\uff0c\u6bcf\u4e2a\u4efb\u52a1\u5206\u522b\u8bad\u7ec3\u4e00\u4e2a\u72ec\u7acb\u7684 MLP Connector\uff0c\u62fc\u4e0a\u521d\u59cb\u7684\u901a\u7528 MLLM \u4e2d\u7684 MLP Connector\uff0c\u518d\u52a0\u4e0a\u4e00\u4e2a\u968f\u673a\u521d\u59cb\u5316\u7684 learnable router\uff0c\u5c31\u53ef\u4ee5\u6784\u6210\u4e00\u4e2a\u4e9f\u5f85\u5403\u4e0b SFT \u6570\u636e\u7684 MoE Connector\uff0c\u5373\uff1a<strong>Diversely Aligned MoE\u3002<\/strong><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-efcf9f4a4cb6035fe707c10f57eb7e14.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-efcf9f4a4cb6035fe707c10f57eb7e14.png\"><\/a><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-32b22eac2234ad57122540f386c82147.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-32b22eac2234ad57122540f386c82147.png\"><\/a><\/p>\n<p>\u5bf9\u6bd4 Diversely Aligned MoE \u4e0e Random \u521d\u59cb\u5316\u3001Co-Upcycle \u521d\u59cb\u5316\uff08\u5373\u628a\u901a\u7528 Connector \u590d\u5236 N \u4efd\uff09\u7684 Training Loss\uff0c<strong>\u6211\u4eec\u53d1\u73b0\uff0cDiversely Aligned MoE \u80fd\u591f\u6709\u66f4\u4f4e\u7684\u521d\u59cb loss\uff08\u56e0\u4e3a\u5df2\u7ecf\u66f4\u597d\u5730\u5b66\u5230\u4e86\u5bf9\u9f50\u5230\u540e\u7eed LLM \u7684 chart \u8868\u5f81\uff09\uff0c\u4ee5\u53ca\u6574\u4f53\u66f4\u5e73\u6ed1\u7684\u8bad\u7ec3\u66f2\u7ebf\u3002<\/strong><\/p>\n<p><strong>Training Recipes<\/strong><\/p>\n<p>ChartMoE \u8bad\u7ec3\u5206\u4e3a\u4e09\u4e2a\u9636\u6bb5\uff1a<\/p>\n<ul>\n<li>\n<p>\u591a\u9636\u6bb5\u5bf9\u9f50\uff08\u6570\u636e\uff1aChartMoE-Align\uff0cTable 500k + JSON 200k + Code 100k\uff09\uff0c\u4ec5\u8bad\u7ec3 MLP Connector\uff0c\u6700\u540e\u62fc\u6210 MoE Connector\u3002<\/p>\n<\/li>\n<li>\n<p>\u5e7f\u6cdb\u5b66\u4e60\u9ad8\u8d28\u91cf\u77e5\u8bc6\uff08\u4f7f\u7528 MMC-Instruct \u6570\u636e\u96c6\uff0c\u5305\u542b\u5f88\u591a Chart \u76f8\u5173\u7684\u4efb\u52a1\uff0c\u5982\uff1aChart Summarization\uff09\uff0c\u8bad\u7ec3 MoE Connector\uff08\u5c24\u5176\u662f Learnable Router\uff0c\u4e9f\u5f85\u5b66\u4e60\uff09\u4ee5\u53ca LLM Lora\u3002<\/p>\n<\/li>\n<li>\n<p>Chart \u9886\u57df SFT\uff08ChartQA + ChartGemma\uff09\uff1a\u8bad\u7ec3 MoE Connector \u4ee5\u53ca LLM Lora\uff1b<\/p>\n<\/li>\n<li>\n<p>PoT\uff08Program-of-Thought\uff09\uff1a\u5373\u8f93\u51fa python \u4ee3\u7801\u6765\u89e3\u51b3\u95ee\u9898\uff0c\u53ef\u4ee5\u8ba9\u6a21\u578b\u5c06\u8ba1\u7b97\u4ea4\u7ed9\u4ee3\u7801\uff0c\u63d0\u9ad8\u89e3\u9898\u51c6\u786e\u7387\uff0c\u5982\uff1a\u4e00\u4e2a\u5229\u6da6\u67f1\u72b6\u56fe\uff0c\u95ee\u6700\u9ad8\u5229\u6da6\u548c\u6700\u4f4e\u5229\u6da6\u5dee\u591a\u5c11\uff0c\u5c31\u4f1a\u8f93\u51fa\u4ee3\u7801\uff1a<\/p>\n<p><span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left:8px;margin-right:8px;line-height:1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>profits = [5, 7, 9, 1, 11, -3]<\/span><\/p>\n<p><span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>print (max (profits) &#8211; min (profits))<\/span><\/p>\n<\/li>\n<\/ul>\n<p><strong>ChartMoE \u8868\u5f81\u53ef\u89c6\u5316<\/strong><\/p>\n<p>\u6309\u6bcf\u4e2a Visual Patch Token \u9009\u62e9\u7684\u4e13\u5bb6\u5e8f\u53f7\u8fdb\u884c\u53ef\u89c6\u5316\uff0c\u89c2\u5bdf Visual Patch \u7684 Top-1 \u7684\u4e13\u5bb6\u9009\u62e9\u5206\u5e03\uff1a<\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-a89e6a02c0be416e238bf188df30ac46.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-a89e6a02c0be416e238bf188df30ac46.png\"><\/a><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-3e51a342f9a781e143cff0f513318659.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-3e51a342f9a781e143cff0f513318659.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u80cc\u666f tokens \u503e\u5411\u4e8e\u9009\u62e9\u901a\u7528\u901a\u7528\u4e13\u5bb6\uff0c\u4e5f\u8bf4\u660e\u901a\u7528\u4e13\u5bb6\u9009\u62e9\u5360\u6bd4\u975e\u5e38\u9ad8\u3002<\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u70b9\u3001\u56fe\u50cf\u5143\u7d20\u3001\u56fe\u50cf\u5143\u7d20\u95f4\u7684 interaction\uff08\u5982\u7b2c\u4e00\u884c\u7b2c\u56db\u5217\u7684 graph \u56fe\u7684 edges\uff09\u975e\u5e38\u503e\u5411\u4e8e\u9009\u62e9 code \u4e13\u5bb6\uff08\u5c3d\u7ba1 chart-to-code \u6570\u636e\u4e2d\u5e76\u6ca1\u6709\u5305\u542b\u8fd9\u79cd graph \u56fe\u8868\uff09\u3002<\/p>\n<\/li>\n<li>\n<p>\u6807\u9898\u3001xy \u8f74\u6807\u6ce8\u3001xy \u8f74\u523b\u5ea6\u3001\u56fe\u4f8b\u7b49\u6587\u672c\u4fe1\u606f\uff0c\u503e\u5411\u4e8e\u9009\u62e9 table\/JSON \u4e13\u5bb6\u3002<\/p>\n<\/li>\n<li>\n<p>\u7c7b\u4f3c\u7684\u73b0\u8c61\u4e5f\u53ef\u4ee5\u6cdb\u5316\u5230\u901a\u7528\u573a\u666f\uff0c\u5c3d\u7ba1\u6211\u4eec\u6574\u4e2a training \u4e2d\u5b8c\u5168\u6ca1\u6709\u5305\u542b\u8fd9\u6837\u7684\u6570\u636e\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>ChartMoE \u4e13\u5bb6\u5206\u5e03\u53ef\u89c6\u5316<\/strong><\/p>\n<p>\u6211\u4eec\u5206\u6790\u4e86\u5b8c\u5168\u8ba9\u6a21\u578b\u81ea\u7531\u5b66\u4e60\uff0c\u4e0d\u52a0\u5165 MoE balance loss \u4e0b\u7684\u4e13\u5bb6\u9009\u62e9\u5206\u5e03\uff0c\u548c\u4e0a\u6587\u6240\u8ff0\u7b26\u5408\uff0c\u6a21\u578b\u503e\u5411\u4e8e\u9009\u62e9\u901a\u7528\u4e13\u5bb6\u548c\u6700\u5bcc\u542b\u4fe1\u606f\u7684 Code \u4e13\u5bb6 Random \u521d\u59cb\u5316\u3001Co-Upcycle \u521d\u59cb\u5316\u3001\u52a0\u5165 balance loss \u7684 Diversely-Aligned \u521d\u59cb\u5316\uff0c\u6211\u4eec\u5747\u6709\u8fdb\u884c\u4e13\u5bb6\u9009\u62e9\u5206\u5e03\u7684\u5206\u6790\uff0c\u4ee5\u53ca\u4e25\u683c\u63a7\u5236\u53d8\u91cf\u4e0b\u7684 ChartQA \u6027\u80fd\u6bd4\u8f83\uff1a<\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-8cc20f4107a225311f7e3ac89b1fe52f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-8cc20f4107a225311f7e3ac89b1fe52f.png\"><\/a><\/p>\n<p data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ca345098fd3388afbff5b98e13041f36.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ca345098fd3388afbff5b98e13041f36.png\"><\/a><\/p>\n<p>\u5c3d\u7ba1\u524d\u4e09\u8005\u90fd\u4f1a\u83b7\u5f97\u66f4\u5747\u8861\u7684\u4e13\u5bb6\u5206\u5e03\uff0c\u4f46\u6027\u80fd\u662f\u4e0d\u5982\u5b8c\u5168\u4e0d\u52a0 balance loss \u81ea\u7531\u5b66\u4e60 Divesely-Aligned MoE \u7684\uff0c\u53ef\u80fd\u662f\u56e0\u4e3a\uff1a<\/p>\n<ol>\n<li>\n<p>\u5bf9\u4e8e\u89c6\u89c9\u4fe1\u606f\uff0c\u672c\u5c31\u662f\u5206\u7c7b\u4e0d\u5747\u8861\u7684\uff0c\u4fe1\u606f\u76f8\u5bf9\u5c11\u7684\u80cc\u666f tokens \u5360\u5168\u90e8\u89c6\u89c9 tokens \u7684\u5927\u591a\u6570\u3002<\/p>\n<\/li>\n<li>\n<p>balance loss \u672c\u8eab\u76ee\u7684\u5e76\u975e\u5728\u4e8e\u6027\u80fd\u7684\u63d0\u5347\uff0c\u800c\u662f\u4e13\u5bb6\u9009\u62e9\u66f4\u5747\u8861\u540e\uff0c\u914d\u5408\u4e13\u5bb6\u5e76\u884c (Expert Parallel) \u6280\u672f\uff0c\u53ef\u4ee5\u63d0\u9ad8\u8bad\u7ec3 \/ \u63a8\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u6211\u4eec\u989d\u5916\u5206\u6790\u4e86\u6700\u7ec8\u7684 ChartMoE checkpoint\uff0c\u5f3a\u884c\u56fa\u5b9a\u9009\u62e9\u67d0\u4e2a\u4e13\u5bb6\u7684\u6027\u80fd\uff1a<\/p>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-2e166a3ddc90211260b4f89134e3ba1d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-2e166a3ddc90211260b4f89134e3ba1d.png\"><\/a><\/section>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u548c\u4e13\u5bb6\u9009\u62e9\u5206\u5e03\u57fa\u672c\u4fdd\u6301\u4e00\u81f4\uff0c\u6a21\u578b\u81ea\u5df1\u6700\u77e5\u9053\u54ea\u4e2a\u4e13\u5bb6\u80fd\u83b7\u5f97\u597d\u6027\u80fd\u4e86\u3002<\/p>\n<p><strong>ChartMoE Performance\uff08Chart &amp; \u901a\u7528\uff09<\/strong><\/p>\n<p>\u8fd9\u91cc\u60f3\u5148 show \u4e00\u4e0b\u901a\u7528\u9886\u57df\uff0c\u56e0\u4e3a chart \u9886\u57df\u7684 sota \u5728\u8fdb\u884c\u4e86\u7ec6\u7c92\u5ea6\u7684\u591a\u6837\u5316\u5bf9\u9f50\u540e\uff0c\u76f8\u5bf9\u6765\u8bf4\u66f4\u52a0\u53ef\u4ee5\u9884\u89c1\u3002\u5728\u4e0d\u4f7f\u7528\u901a\u7528\u9886\u57df\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u5728\u901a\u7528\u9886\u57df\u4e2d\u9057\u5fd8\u66f4\u5c11\uff0c\u53ef\u80fd\u662f\u505a\u4e0b\u6e38\u9886\u57df MLLM \u66f4\u5173\u6ce8\u7684\u4e8b\u60c5\u3002\u8fd9\u4f1a\u8ba9\u6211\u4eec\u6709\u66f4\u597d\u7684\u9884\u671f\uff1a\u6bd4\u5982\u52a0\u5165\u901a\u7528\u6570\u636e\u540e\uff0c\u901a\u7528\u80fd\u529b\u4e0d\u6389\uff01<\/p>\n<p>\u6211\u8ba4\u4e3a\u901a\u7528\u9886\u57df\u9057\u5fd8\u66f4\u5c11\u6709\u4e24\u4e2a\u539f\u56e0\uff1a<\/p>\n<ol>\n<li>\n<p>\uff08\u663e\u800c\u6613\u89c1\uff09\u63d2\u5165\u4e86\u901a\u7528\u4e13\u5bb6\uff0c\u5c3d\u7ba1\u901a\u7528\u4e13\u5bb6\u4e5f\u66f4\u65b0\u4e86\u3002<\/p>\n<\/li>\n<li>\n<p>\uff08\u53ef\u80fd\u66f4\u672c\u8d28\uff09MoE Connector \u7684\u7ed3\u6784\uff0c\u7531\u4e8e learnable router \u7684\u5b58\u5728\uff0c\u901a\u7528\u4e13\u5bb6\u7684\u66f4\u65b0\u76f8\u6bd4\u666e\u901a\u7684 MLP Connector \u662f\u66f4\u5c11\u7684\uff08\u6bd4\u5982\u6709\u4e9b token \u53ef\u80fd\u786e\u5b9e\u6ca1\u9009\u5230\u901a\u7528\u4e13\u5bb6\uff0c\u5b83\u5c31\u4e0d\u4f1a\u5bf9\u901a\u7528\u4e13\u5bb6\u7684\u66f4\u65b0\u4ea7\u751f\u8d21\u732e\uff09\uff0c<strong>\u67d0\u79cd\u7a0b\u5ea6\u4e0a\uff0c\u53ef\u4ee5\u8ba4\u4e3a MoE Connector \u8fd9\u79cd sparse \u7ed3\u6784\u672c\u8eab\u5c31\u5e26\u6709\u4e00\u5b9a\u7684\u6b63\u5219\u4f5c\u7528\u3002<\/strong><\/p>\n<\/li>\n<\/ol>\n<p><strong>\u901a\u7528\u9886\u57df<\/strong><\/p>\n<p>\u6211\u4eec\u9009\u62e9\u4e86 MME \u548c MMBench \u4e24\u4e2a\u6bd4\u8f83\u6709\u4ee3\u8868\u6027\u7684\u901a\u7528\u9886\u57df\u7684 benchmark\uff0c\u6bd4\u8f83\u4e86 baseline\uff08InternLM-XComposer2\uff09\u3001\u7528 chart \u6570\u636e directly SFT\u3001\u4ee5\u53ca ChartMoE \u7684\u6027\u80fd\uff0c\u53ef\u4ee5\u770b\u5230\uff0cDirectly SFT \u6a21\u578b\u5728\u901a\u7528\u9886\u57df\u6389\u70b9\u4e25\u91cd\uff0cChartMoE \u51e0\u4e4e\u4e0d\u4f1a\u6389\u6027\u80fd\uff0c\u4e14\u5728\u6709\u4e9b\u7ec6\u5206\u9886\u57df\u4e0a\u8fd8\u6709\u589e\u70b9<\/p>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-68326069d4bcefd40540ead76fc94ea2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-68326069d4bcefd40540ead76fc94ea2.png\"><\/a><\/section>\n<p><strong>Chart \u9886\u57df<\/strong><\/p>\n<p>\u5bf9\u4e8e Chart \u9886\u57df\uff0c\u6211\u4eec\u9009\u62e9\u4e86 ChartQA\u3001ChartBench\uff08\u4e3b\u8981\u662f\u65e0\u6570\u503c\u6807\u6ce8\u7684 Chart\uff09\u3001ChartFC&amp;ChartCheck\uff08Fact Checking \u4efb\u52a1\uff0c\u56de\u7b54\u652f\u6301\u6216\u4e0d\u652f\u6301\uff09\uff0c\u5728\u8fd9\u4e9b Benchmark \u4e0a\uff0cChartMoE \u90fd\u80fd\u8fbe\u5230\u975e\u5e38\u597d\u7684\u6027\u80fd\uff0c\u5c24\u5176\u662f\u76f8\u5bf9\u521d\u59cb\u7684 baseline \u6a21\u578b\uff08InternLM-XComposer2\uff09\u63d0\u5347\u975e\u5e38\u663e\u8457<\/p>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-1a99b0b3c615617024fa9141955a396f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-1a99b0b3c615617024fa9141955a396f.png\"><\/a><\/section>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-189a7a3d0386814ceee85b52103bd938.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-189a7a3d0386814ceee85b52103bd938.png\"><\/a><\/section>\n<section data-pm-slice=\"0 0 []\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-d56a0b4fa7f1b27356cfc3ea0dca9cb6.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-d56a0b4fa7f1b27356cfc3ea0dca9cb6.png\"><\/a><\/section>\n<p><strong>Conclusion<\/strong><\/p>\n<p>\u5728 ChartMoE \u8fd9\u4e2a\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u63a2\u7d22\u4e86\u901a\u7528 MLLM \u4f7f\u7528 MoE \u8fd9\u79cd sparse \u7684\u7ed3\u6784\u540e\u5728\u4e0b\u6e38\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\uff1a<\/p>\n<ol>\n<li>\n<p>\u4ece Representation \u89d2\u5ea6\uff1a\u4e13\u5bb6\u5f02\u8d28\u5316\u7684 MoE \u53ef\u4ee5\u83b7\u5f97\u66f4\u52a0\u591a\u6837\u3001\u66f4\u52a0\u5168\u9762\u7684\u89c6\u89c9\u8868\u5f81\uff0c\u4ece\u800c\u5728\u4e0b\u6e38\u4efb\u52a1\u4e0a\u8fbe\u5230\u66f4\u597d\u7684\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p>\u4ece Knowledge \u89d2\u5ea6\uff1aMoE \u8fd9\u79cd Sparse \u7ed3\u6784\uff0c\u53ef\u4ee5\u7b49\u4ef7\u4e8e\u52a0\u5165\u4e86\u9002\u91cf\u7684\u6b63\u5219\u9879\uff0c\u65e2\u80fd\u663e\u8457\u63d0\u9ad8\u4e0b\u6e38\u4efb\u52a1\u6027\u80fd\uff0c\u4e5f\u80fd\u7f13\u89e3\u4e0b\u6e38\u9886\u57df\u6a21\u578b\u5728\u901a\u7528\u4efb\u52a1\u4e0a\u9057\u5fd8\u3002<\/p>\n<\/li>\n<\/ol>\n<p>ChartMoE \u662f\u4e00\u4e2a\u629b\u7816\u5f15\u7389\u7684\u5de5\u4f5c\uff0c\u6211\u4eec\u76f8\u4fe1\u540e\u7eed\u4e5f\u4f1a\u6709\u66f4\u591a\u5de5\u4f5c\u53bb\u63a2\u7d22\u4e0b\u6e38\u4efb\u52a1\u4e2d Sparse \u7ed3\u6784\u7684\u8868\u73b0\uff01<\/p>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-04-01-3\" target=\"_blank\">ICLR 2025 Oral | 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