{"id":10641,"date":"2026-08-02T06:57:21","date_gmt":"2026-08-01T22:57:21","guid":{"rendered":"https:\/\/infernews.com\/blog\/evaluating-atomic-visual-perception-in-multimodal-large-language-models\/"},"modified":"2026-08-02T06:57:21","modified_gmt":"2026-08-01T22:57:21","slug":"evaluating-atomic-visual-perception-in-multimodal-large-language-models","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/evaluating-atomic-visual-perception-in-multimodal-large-language-models\/","title":{"rendered":"PerceptionBench\uff1aMoonshot AI \u6559\u4f60\u6e2c\u8a66 MLLM \u8996\u89ba\u76f2\u9ede"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/08\/fig_teaser.jpg\" alt=\"kimi small\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4e0d\u5c11 Multimodal Large Language Models\uff08MLLMs\uff09\u8868\u9762\u4e0a\u56de\u7b54\u5b8c\u6574\uff0c\u4f46\u932f\u8aa4\u672a\u5fc5\u4f86\u81ea\u63a8\u7406\uff0c\u5f80\u5f80\u65e9\u5728\u300c\u770b\u5716\u300d\u90a3\u4e00\u6b65\u5df2\u7d93\u51fa\u73fe\u3002PerceptionBench \u5c31\u662f\u4e00\u500b\u8a55\u6e2c\u8cc7\u6599\u96c6\u517c benchmark\uff0c\u5c08\u9580\u628a\u8996\u89ba\u611f\u77e5\u62c6\u6210\u6700\u7d30\u55ae\u5143\uff0c\u6aa2\u67e5\u6a21\u578b\u7a76\u7adf\u4fc2\u8b80\u932f\u5b57\u3001\u770b\u6f0f\u95dc\u4fc2\uff0c\u9084\u662f\u51fa\u73fe perception-related hallucination\uff08Hallu\uff09\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5b83\u7684\u50f9\u503c\uff0c\u5728\u65bc\u4e0d\u518d\u7528\u4e00\u500b\u7e3d\u5206\u63a9\u84cb\u554f\u984c\u3002\u5718\u968a\u5148\u5206\u6790 42 \u500b\u73fe\u6709 benchmarks \u7684\u5931\u6557\u6848\u4f8b\uff0c\u518d\u6574\u7406\u51fa\u4e00\u5957\u932f\u8aa4\u5206\u985e\uff0c\u7576\u4e2d\u8996\u89ba\u611f\u77e5\u5206\u652f\u5305\u542b\u5341\u7a2e atomic perceptual capabilities\uff0c\u4e4b\u5f8c\u7528\u9019\u500b\u6846\u67b6\u5efa\u7acb 3,000 \u689d\u7d93\u9a57\u8b49\u984c\u76ee\uff0c\u6bcf\u984c\u53ea\u6e2c\u4e00\u7a2e\u80fd\u529b\uff0c\u7b54\u6848\u4ea6\u523b\u610f\u4fdd\u6301\u7c21\u77ed\u800c\u660e\u78ba\uff0c\u76e1\u91cf\u907f\u514d\u628a\u63a8\u7406\u6216\u80cc\u666f\u77e5\u8b58\u6df7\u5165\u7d50\u679c\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5c0d\u505a\u6a21\u578b\u8a55\u4f30\u3001\u8cc7\u6599\u6a19\u8a3b\u6216\u591a\u6a21\u614b\u7522\u54c1\u8abf\u6821\u7684\u4eba\u4f86\u8aaa\uff0c\u9019\u500b\u9805\u76ee\u6700\u6709\u7528\u7684\u5730\u65b9\uff0c\u662f\u4f60\u53ef\u4ee5\u66f4\u65e9\u5b9a\u4f4d\u554f\u984c\u6e90\u982d\u3002\u5b83\u4e0d\u662f\u6559\u4f60\u90e8\u7f72\u6a21\u578b\u7684\u5de5\u5177\uff0c\u800c\u662f\u7528\u4f86\u6bd4\u8f03\u6a21\u578b\u80fd\u529b\u8f2a\u5ed3\u7684\u5c3a\uff1b\u8cc7\u6599\u5df2\u653e\u4e0a Hugging Face\uff0c\u7a0b\u5f0f\u78bc\u4ea6\u516c\u958b\uff0c\u8f03\u9069\u5408\u62ff\u4f86\u8dd1 benchmark\u3001\u91cd\u73fe\u8ad6\u6587\u7d50\u679c\uff0c\u6216\u8005\u628a\u81ea\u5bb6\u6a21\u578b\u653e\u5165\u540c\u4e00\u5957\u984c\u76ee\u505a\u6a6b\u5411\u6bd4\u8f03\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4ee5 3,000 \u689d verified questions \u6e2c\u5341\u7a2e atomic visual perception \u80fd\u529b<\/li>\n<li>\u984c\u76ee\u523b\u610f\u9694\u96e2\u55ae\u4e00\u80fd\u529b\uff0c\u6e1b\u5c11\u63a8\u7406\u8207\u77e5\u8b58\u5e72\u64fe<\/li>\n<li>\u5171\u8a55\u6e2c 16 \u500b frontier MLLMs\uff0c\u4f7f\u7528\u7d71\u4e00 prompts<\/li>\n<li>\u6c92\u6709\u6a21\u578b\u6e96\u78ba\u7387\u8d85\u904e 60%\uff0cHallu \u8868\u73fe\u5e73\u5747\u6700\u5f31<\/li>\n<li>\u76f8\u8fd1\u7e3d\u5206\u4e4b\u4e0b\uff0c\u4e0d\u540c\u6a21\u578b\u7684\u80fd\u529b\u5206\u4f48\u53ef\u4ee5\u5dee\u5f88\u9060<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u6240\u6709\u984c\u76ee\u90fd\u63a1\u7528\u958b\u653e\u5f0f\u77ed\u7b54\u6848\uff0c\u518d\u7531 GPT-oss-120B \u4f9d\u53c3\u8003\u7b54\u6848\u5224\u5206\uff0c\u5b98\u65b9\u6307\u5b83\u8207\u4eba\u5de5\u5be9\u6838\u5728 300 \u500b\u6a23\u672c\u4e0a\u7684\u4e00\u81f4\u7387\u9054 99.7%\u3002\u9019\u985e\u8a2d\u8a08\u672a\u5fc5\u7b49\u540c\u771f\u5be6\u7522\u54c1\u5834\u666f\uff0c\u4f46\u5f88\u9069\u5408\u505a\u80fd\u529b\u5c64\u9762\u7684\u8a3a\u65b7\uff1b\u7576\u4f60\u60f3\u77e5\u9053\u6a21\u578b\u5230\u5e95\u300c\u5514\u8b58\u7b54\u300d\u9084\u662f\u300c\u7747\u932f\u5716\u300d\uff0cPerceptionBench \u63d0\u4f9b\u7684\u8cc7\u8a0a\u6bd4\u4e00\u822c\u7d9c\u5408\u6392\u884c\u699c\u66f4\u6709\u5206\u6790\u50f9\u503c\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/MoonshotAI\/PerceptionBench\" rel=\"noopener noreferrer\"><strong>GitHub<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e0d\u5c11\u591a\u6a21\u614b\u6a21\u578b\u7b54\u5f97\u4f3c\u6a21\u4f3c\u6a23\uff0c\u4f46\u672a\u5fc5\u771f\u4fc2\u7747\u5f97\u6e96\u3002PerceptionBench \u628a\u554f\u984c\u62c6\u5230\u6700\u7d30\uff0c\u5c08\u9580\u91cf\u5ea6 MLLM \u6700\u57fa\u672c\u7684\u8996\u89ba\u611f\u77e5\u80fd\u529b\u3002<\/p>\n","protected":false},"author":8,"featured_media":10640,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","footnotes":""},"categories":[133,119,199,207],"tags":[],"class_list":["post-10641","post","type-post","status-publish","format-standard","hentry","category-133","category-119","category-dataset-","category-kimi"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/10641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=10641"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/10641\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/10640"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=10641"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=10641"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=10641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}