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2025\u5e7412\u67089\u65e5\u306b\u516c\u958b\u3055\u308c\u305f\u8ad6\u6587\u300cSame Content, Different Answers: Cross-Modal Inconsistency in MLLMs\u300d\u3092\u53d6\u308a\u4e0a\u3052\u3001\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30ebAI\u304c\u540c\u3058\u5185\u5bb9\u3067\u3082\u30c6\u30ad\u30b9\u30c8\u304b\u753b\u50cf\u304b\u3067\u7b54\u3048\u3092\u5909\u3048\u308b\u73fe\u8c61\u3092\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002\u30a2\u30e0\u30b9\u30c6\u30eb\u30c0\u30e0\u5927\u5b66\u3084\u30cb\u30e5\u30eb\u30f3\u30d9\u30eb\u30af\u5de5\u79d1\u5927\u5b66\u3089\u306e\u7814\u7a76\u30c1\u30fc\u30e0\u306fREST\u3068REST+\u3068\u3044\u3046\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u4f5c\u308a\u3001GPT-5-mini\u3084Claude Haiku 4.5\u3001Qwen2.5-VL\u306a\u306915\u306e\u30e2\u30c7\u30eb\u3092\u691c\u8a3c\u3057\u307e\u3057\u305f\u3002\u300c3+3\u300d\u306e\u3088\u3046\u306a\u554f\u984c\u3067\u3082\u63d0\u793a\u5f62\u5f0f\u304c\u5909\u308f\u308b\u3068\u7b54\u3048\u304c\u63fa\u3089\u304e\u3001\u6700\u65b0\u30e2\u30c7\u30eb\u3067\u3082\u4e00\u8cab\u6027\u306f\u7d0490%\u306b\u3068\u3069\u307e\u308a\u3001\u753b\u50cf\u5165\u529b\u3067\u306f\u6b63\u7b54\u7387\u304c\u534a\u6e1b\u3059\u308b\u4f8b\u3082\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

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