{"id":103679,"date":"2026-09-11T08:25:39","date_gmt":"2026-09-11T00:25:39","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/103679.html"},"modified":"2026-09-11T08:25:39","modified_gmt":"2026-09-11T00:25:39","slug":"deepmmsearch-r1-empowering-multimodal-llms-in-multimodal-web-search%e8%ae%ba%e6%96%87%e5%88%86%e4%ba%ab","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/103679.html","title":{"rendered":"DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search\u8bba\u6587\u5206\u4eab"},"content":{"rendered":"

\u4eca\u5929\u5206\u4eab\u7684\u8bba\u6587\u662f\u300aDeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search\u300b<\/p>\n

\u539f\u6587\u94fe\u63a5：https:\/\/arxiv.org\/abs\/2510.12801<\/p>\n

\n

\u8fd9\u662f\u82f9\u679c\u7684\u4e00\u7bc7\u8bba\u6587，\u5173\u4e8e\u591a\u6a21\u6001\u7f51\u683c\u641c\u7d22\u7684\u3002<\/p>\n

\n

\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（Multimodal Large Language Models, MLLMs）\u5728\u5b9e\u9645\u5e94\u7528\u4e2d，\u9700\u8981\u83b7\u53d6\u5916\u90e8\u77e5\u8bc6\u6e90，\u4e14\u5fc5\u987b\u80fd\u54cd\u5e94\u73b0\u5b9e\u4e16\u754c\u4e2d\u52a8\u6001\u53d8\u5316\u7684\u4fe1\u606f，\u624d\u80fd\u89e3\u51b3\u7528\u6237\u7684\u4fe1\u606f\u67e5\u8be2\u7c7b\u548c\u77e5\u8bc6\u5bc6\u96c6\u578b\u95ee\u9898\u3002\u73b0\u6709\u65b9\u6cd5（\u5982\u68c0\u7d22\u589e\u5f3a\u751f\u6210（Retrieval Augmented Generation, RAG）\u3001\u641c\u7d22\u4ee3\u7406\u4ee5\u53ca\u5177\u5907\u641c\u7d22\u529f\u80fd\u7684\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b）\u5f80\u5f80\u5b58\u5728\u6d41\u7a0b\u50f5\u5316\u3001\u641c\u7d22\u8c03\u7528\u8fc7\u591a\u4ee5\u53ca\u641c\u7d22\u67e5\u8be2\u6784\u5efa\u4e0d\u5408\u7406\u7b49\u95ee\u9898，\u5bfc\u81f4\u6548\u7387\u4f4e\u4e0b\u4e14\u7ed3\u679c\u6b20\u4f73\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e9b\u5c40\u9650\u6027，\u6211\u4eec\u63d0\u51faDeepMMSearch-R1\u2014\u2014\u9996\u4e2a\u80fd\u591f\u6267\u884c\u6309\u9700\u591a\u8f6e\u7f51\u7edc\u641c\u7d22，\u5e76\u4e3a\u56fe\u50cf\u548c\u6587\u672c\u641c\u7d22\u5de5\u5177\u52a8\u6001\u751f\u6210\u67e5\u8be2\u7684\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002\u5177\u4f53\u800c\u8a00，DeepMMSearch-R1\u53ef\u57fa\u4e8e\u8f93\u5165\u56fe\u50cf\u7684\u76f8\u5173\u88c1\u526a\u533a\u57df\u53d1\u8d77\u7f51\u7edc\u641c\u7d22（\u63d0\u5347\u56fe\u50cf\u641c\u7d22\u6548\u679c），\u5e76\u80fd\u6839\u636e\u68c0\u7d22\u5230\u7684\u4fe1\u606f\u8fed\u4ee3\u4f18\u5316\u6587\u672c\u641c\u7d22\u67e5\u8be2，\u4ece\u800c\u5b9e\u73b0\u81ea\u6211\u53cd\u601d\u4e0e\u81ea\u6211\u4fee\u6b63\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u91c7\u7528\u4e24\u9636\u6bb5\u8bad\u7ec3\u6d41\u7a0b：\u5148\u8fdb\u884c\u51b7\u542f\u52a8\u76d1\u7763\u5fae\u8c03（Supervised Finetuning, SFT）\u9636\u6bb5，\u968f\u540e\u91c7\u7528GRPO\u7b97\u6cd5（Shao\u7b49\u4eba，2024）\u8fdb\u884c\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60（Reinforcement Learning, RL）\u4f18\u5316\u3002\u5728\u8bad\u7ec3\u65b9\u9762，\u6211\u4eec\u5f15\u5165\u5168\u65b0\u7684\u591a\u6a21\u6001\u89c6\u89c9\u95ee\u7b54\u6570\u636e\u96c6DeepMMSearchVQA，\u8be5\u6570\u636e\u96c6\u901a\u8fc7\u81ea\u52a8\u5316\u6d41\u7a0b\u6784\u5efa，\u5e76\u878d\u5165\u4e86\u6765\u81ea\u7f51\u7edc\u641c\u7d22\u5de5\u5177\u7684\u771f\u5b9e\u4e16\u754c\u4fe1\u606f\u3002\u6b64\u6570\u636e\u96c6\u5305\u542b\u591a\u6837\u5316\u7684\u591a\u8df3\u67e5\u8be2（\u9700\u878d\u5408\u6587\u672c\u4e0e\u89c6\u89c9\u4fe1\u606f），\u53ef\u8bad\u7ec3\u6a21\u578b\u638c\u63e1\u201c\u4f55\u65f6\u641c\u7d22\u3001\u641c\u7d22\u4ec0\u4e48\u3001\u4f7f\u7528\u4f55\u79cd\u641c\u7d22\u5de5\u5177\u4ee5\u53ca\u5982\u4f55\u57fa\u4e8e\u68c0\u7d22\u4fe1\u606f\u8fdb\u884c\u63a8\u7406\u201d\u3002\u6211\u4eec\u5728\u591a\u4e2a\u77e5\u8bc6\u5bc6\u96c6\u578b\u57fa\u51c6\u6d4b\u8bd5\u96c6\u4e0a\u5f00\u5c55\u4e86\u5927\u91cf\u5b9e\u9a8c，\u4ee5\u9a8c\u8bc1\u6240\u63d0\u65b9\u6cd5\u7684\u4f18\u8d8a\u6027\u3002\u6700\u540e，\u6211\u4eec\u5bf9\u5b9e\u9a8c\u7ed3\u679c\u8fdb\u884c\u5206\u6790，\u5e76\u63d0\u4f9b\u5bf9\u63a8\u52a8\u591a\u6a21\u6001\u7f51\u7edc\u641c\u7d22\u53d1\u5c55\u5177\u6709\u4ef7\u503c\u7684\u89c1\u89e3\u3002<\/p>\n

\n

\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（MLLMs）（Hurst\u7b49\u4eba，2024；Team\u7b49\u4eba，2023；Li\u7b49\u4eba，2024a；Bai\u7b49\u4eba，2025；Chen\u7b49\u4eba，2024；You\u7b49\u4eba，2023；Wang\u7b49\u4eba，2024；Deitke\u7b49\u4eba，2024）\u5c06\u9884\u8bad\u7ec3\u89c6\u89c9\u7f16\u7801\u5668\u4e0e\u5927\u578b\u8bed\u8a00\u6a21\u578b（Large Language Models, LLMs）\u76f8\u7ed3\u5408，\u5728\u89c6\u89c9\u611f\u77e5\u3001\u89c6\u89c9\u5b9a\u4f4d\u548c\u751f\u6210\u4efb\u52a1\u7b49\u9886\u57df\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u8fd9\u4e9b\u80fd\u529b\u4f7f\u5176\u6210\u4e3a\u5404\u7c7b\u65e5\u5e38\u667a\u80fd\u8f85\u52a9\u5e94\u7528\u7684\u6838\u5fc3\u7ec4\u4ef6\u3002\u7136\u800c，\u5c3d\u7ba1\u53d6\u5f97\u4e86\u8fd9\u4e9b\u7a81\u7834，MLLMs\u5728\u5904\u7406\u77e5\u8bc6\u5bc6\u96c6\u578b\u548c\u4fe1\u606f\u67e5\u8be2\u578b\u89c6\u89c9\u95ee\u7b54（Visual Question Answering, VQA）\u4efb\u52a1\u65f6\u4ecd\u5b58\u5728\u56f0\u96be（Chen\u7b49\u4eba，2023；Mensink\u7b49\u4eba，2023）\u2014\u2014\u8fd9\u7c7b\u4efb\u52a1\u4e0d\u4ec5\u8981\u6c42\u51c6\u786e\u8bc6\u522b\u89c6\u89c9\u5b9e\u4f53，\u8fd8\u9700\u8981\u83b7\u53d6\u76f8\u5173\u80cc\u666f\u77e5\u8bc6\u3002\u5f00\u653e\u4e16\u754c\u89c6\u89c9\u77e5\u8bc6\u7684\u5e7f\u5ea6\u4f7f\u5f97\u8bb8\u591a\u67e5\u8be2\u5904\u4e8e\u201c\u957f\u5c3e\u5206\u5e03\u201d\u4e2d，\u8fd9\u5fc5\u7136\u8981\u6c42\u6a21\u578b\u83b7\u53d6\u5176\u5185\u90e8\u8bad\u7ec3\u8bed\u6599\u4e4b\u5916\u7684\u4fe1\u606f\u3002\u800c\u6784\u5efa\u89c4\u6a21\u8d8a\u6765\u8d8a\u5927\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u5e76\u4e0d\u73b0\u5b9e，\u56e0\u4e3a\u8fd9\u9700\u8981\u8017\u8d39\u5927\u91cf\u6210\u672c\u7528\u4e8e\u6570\u636e\u6536\u96c6\u3001\u6e05\u6d17\u3001\u6574\u7406\u548c\u6a21\u578b\u91cd\u8bad\u7ec3\u3002\u6b64\u5916，\u7531\u4e8e\u7f51\u7edc\u4fe1\u606f\u6301\u7eed\u66f4\u65b0，\u9759\u6001\u8bad\u7ec3\u8bed\u6599\u4f1a\u8fc5\u901f\u8fc7\u65f6，\u5bfc\u81f4MLLMs\u65e0\u6cd5\u56de\u7b54\u9700\u8981\u6700\u65b0\u4fe1\u606f\u7684\u95ee\u9898\u3002\u4f8b\u5982，2025\u5e741\u6708\u6700\u540e\u66f4\u65b0\u7684Qwen2.5-VL（Bai\u7b49\u4eba，2025）\u65e0\u6cd5\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898：\u201c<\u56fe\u50cf>\u8fd9\u573a\u5212\u8239\u6bd4\u8d5b\u6b63\u5728\u54ea\u91cc\u4e3e\u884c？\u201d[\u7b54\u6848：\u8be5\u56fe\u50cf\u5c55\u793a\u7684\u662f\u5370\u5ea6\u5c3c\u897f\u4e9a\u5ed6\u5185\u7701\u4e00\u5e74\u4e00\u5ea6\u7684\u5e15\u5e93\u8d3e\u9c81（Pacu Jalur）\u5212\u8239\u6bd4\u8d5b]\u3002\u76f8\u5173\u56fe\u50cf\u89c1\u9644\u5f55F.1\u3002<\/p>\n

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\u4e3a\u89e3\u51b3\u8fd9\u4e9b\u5c40\u9650\u6027，\u8fd1\u671f\u7814\u7a76\u5c1d\u8bd5\u5c06\u641c\u7d22\u5de5\u5177\u4e0eMLLMs\u96c6\u6210，\u4ee5\u5b9e\u73b0\u5bf9\u5916\u90e8\u4fe1\u606f\u7684\u52a8\u6001\u83b7\u53d6\u3002\u73b0\u6709\u65b9\u6cd5\u5927\u81f4\u53ef\u5206\u4e3a\u4e09\u7c7b：<\/p>\n

1. \u68c0\u7d22\u589e\u5f3a\u751f\u6210（RAG）\u65b9\u6cd5（Ling\u7b49\u4eba，2025；Qi\u7b49\u4eba，2024；Liu\u7b49\u4eba，2024e）：\u8fd9\u7c7b\u65b9\u6cd5\u4f9d\u8d56\u5916\u90e8\u77e5\u8bc6\u5e93，\u4f46\u9759\u6001\u8bed\u6599\u5e93\u65e0\u6cd5\u8986\u76d6\u5f00\u653e\u4e16\u754c\u77e5\u8bc6\u7684\u5168\u90e8\u8303\u56f4，\u56e0\u6b64\u8be5\u5047\u8bbe\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u5e76\u4e0d\u6210\u7acb\u3002\u6b64\u5916，RAG\u65b9\u6cd5\u201c\u5148\u68c0\u7d22\u540e\u751f\u6210\u201d\u7684\u56fa\u5b9a\u6d41\u7a0b\u5f80\u5f80\u5bfc\u81f4\u68c0\u7d22\u64cd\u4f5c\u8fc7\u591a\u4e14\u5b58\u5728\u4e0d\u5fc5\u8981\u7684\u68c0\u7d22\u3002<\/p>\n

2. \u641c\u7d22\u4ee3\u7406（Li\u7b49\u4eba，2024c\u3001b）：\u8fd9\u7c7b\u65b9\u6cd5\u901a\u8fc7\u63d0\u793aLLMs\/MLLMs\u6267\u884c\u591a\u8f6e\u7f51\u7edc\u641c\u7d22，\u5e76\u5c06\u68c0\u7d22\u5230\u7684\u5185\u5bb9\u878d\u5165\u6a21\u578b\u4e0a\u4e0b\u6587\u4ee5\u7528\u4e8e\u540e\u7eed\u8f6e\u6b21\u3002\u4f46\u641c\u7d22\u4ee3\u7406\u901a\u5e38\u4ee5\u5373\u63d2\u5373\u7528\u6a21\u5757\u7684\u5f62\u5f0f\u5b9e\u73b0，\u5e76\u672a\u9488\u5bf9\u201c\u4e0e\u771f\u5b9e\u4e16\u754c\u4e2d\u542b\u566a\u58f0\u7684\u7f51\u7edc\u641c\u7d22\u7ed3\u679c\u4ea4\u4e92\u201d\u8fdb\u884c\u4f18\u5316\u3002\u56e0\u6b64，\u5b83\u4eec\u5f80\u5f80\u65e0\u6cd5\u57fa\u4e8e\u68c0\u7d22\u5185\u5bb9\u6709\u6548\u63a8\u7406，\u4e14\u5728\u9884\u8bad\u7ec3\u9636\u6bb5\u672a\u89c1\u8fc7\u7684\u5f00\u653e\u4e16\u754c\u573a\u666f\u4e2d\u6cdb\u5316\u80fd\u529b\u8f83\u5dee\u3002<\/p>\n

3. \u5177\u5907\u641c\u7d22\u529f\u80fd\u7684\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（Jin\u7b49\u4eba，2025；Song\u7b49\u4eba，2025；Chen\u7b49\u4eba，2025）：\u8fd9\u7c7b\u6a21\u578b\u7ecf\u8fc7\u8bad\u7ec3，\u53ef\u4e0e\u641c\u7d22\u5de5\u5177\u534f\u540c\u5de5\u4f5c，\u5e76\u57fa\u4e8e\u68c0\u7d22\u5185\u5bb9\u8fdb\u884c\u63a8\u7406\u3002\u7136\u800c，\u5927\u591a\u6570\u73b0\u6709\u5de5\u4f5c\u4ec5\u5c40\u9650\u4e8e\u6587\u672c\u641c\u7d22，\u6781\u5927\u5730\u9650\u5236\u4e86\u5176\u5728\u591a\u6a21\u6001\u77e5\u8bc6\u5bc6\u96c6\u578b\u95ee\u7b54\u4efb\u52a1\u4e2d\u7684\u9002\u7528\u6027\u3002Wu\u7b49\u4eba（2025）\u7684\u7814\u7a76\u9996\u6b21\u5c06\u68c0\u7d22\u6269\u5c55\u5230\u591a\u6a21\u6001\u9886\u57df，\u5f15\u5165\u4e86\u56fe\u50cf\u641c\u7d22\u5de5\u5177，\u4f46\u8be5\u65b9\u6cd5\u4ecd\u5b58\u5728\u663e\u8457\u5c40\u9650\u6027：\u9996\u5148，\u5c3d\u7ba1\u6a21\u578b\u53ef\u81ea\u4e3b\u51b3\u5b9a\u8c03\u7528\u54ea\u79cd\u5de5\u5177，\u4f46\u9650\u5236\u4e3a\u6bcf\u79cd\u5de5\u5177\u4ec5\u8c03\u7528\u4e00\u6b21，\u65e0\u6cd5\u5b9e\u73b0\u81ea\u6211\u53cd\u601d\u4e0e\u81ea\u6211\u4fee\u6b63；\u5176\u6b21，\u5176\u63d0\u51fa\u7684\u56fe\u50cf\u641c\u7d22\u5de5\u5177\u4ec5\u80fd\u57fa\u4e8e\u5b8c\u6574\u8f93\u5165\u56fe\u50cf\u68c0\u7d22\u4fe1\u606f，\u7f3a\u4e4f\u9488\u5bf9\u5177\u4f53\u95ee\u9898\u7684\u5f15\u5bfc\u6216\u805a\u7126\u3002\u800c\u5728\u5b9e\u9645\u90e8\u7f72\u4e2d，\u80cc\u666f\u5185\u5bb9\u548c\u65e0\u5173\u89c6\u89c9\u5b9e\u4f53\u5f80\u5f80\u4f1a\u7ed9\u56fe\u50cf\u641c\u7d22\u5f15\u5165\u566a\u58f0，\u5bfc\u81f4\u68c0\u7d22\u6548\u679c\u4e0d\u4f73\u4e14\u76f8\u5173\u89c6\u89c9\u5b9e\u4f53\u8bc6\u522b\u9519\u8bef，\u8fd9\u6210\u4e3a\u5236\u7ea6\u56fe\u50cf\u641c\u7d22\u5b9e\u9645\u6548\u7387\u7684\u4e3b\u8981\u74f6\u9888（\u89c1\u56fe1\u5de6\u4fa7）\u3002<\/p>\n

\n

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\"\"<\/p>\n

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\n

\u6211\u4eec\u91c7\u7528\u4e24\u9636\u6bb5\u8bad\u7ec3\u6d41\u7a0b：\u9996\u5148\u901a\u8fc7\u76d1\u7763\u5fae\u8c03（SFT）\u8fdb\u884c\u51b7\u542f\u52a8\u521d\u59cb\u5316，\u968f\u540e\u91c7\u7528GRPO\u7b97\u6cd5（Shao\u7b49\u4eba，2024）\u8fdb\u884c\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60（RL）\u3002\u8bad\u7ec3\u76ee\u6807\u662f\u8ba9\u6a21\u578b\u638c\u63e1\u201c\u4f55\u65f6\u641c\u7d22\u3001\u4f7f\u7528\u4f55\u79cd\u5de5\u5177\u3001\u641c\u7d22\u4ec0\u4e48\u5185\u5bb9，\u4ee5\u53ca\u5982\u4f55\u57fa\u4e8e\u68c0\u7d22\u5185\u5bb9\u63a8\u7406\u4ee5\u51b3\u5b9a\u4e0b\u4e00\u6b65\u52a8\u4f5c（\u8f93\u51fa\u6700\u7ec8\u7b54\u6848\u6216\u4f18\u5316\u67e5\u8be2\u4ee5\u8fdb\u884c\u518d\u6b21\u641c\u7d22）\u201d\u3002<\/p>\n

\n

\u672c\u6587\u7684\u8d21\u732e\u5982\u4e0b：<\/p>\n

1. \u63d0\u51fa\u65b0\u578b\u6570\u636e\u96c6：\u6211\u4eec\u6784\u5efa\u4e86DeepMMSearchVQA\u6570\u636e\u96c6，\u8be5\u6570\u636e\u96c6\u5305\u542b\u591a\u6837\u5316\u7684\u591a\u8df3\u89c6\u89c9\u95ee\u7b54\u6837\u672c\u53ca\u591a\u8f6e\u5bf9\u8bdd，\u5728\u77e5\u8bc6\u7c7b\u522b\u4e0a\u5206\u5e03\u5747\u8861，\u4e14\u540c\u65f6\u6db5\u76d6\u201c\u9700\u641c\u7d22\u201d\u548c\u201c\u65e0\u9700\u641c\u7d22\u201d\u4e24\u7c7b\u95ee\u9898\u3002\u8be5\u6570\u636e\u96c6\u53ef\u8bad\u7ec3\u6a21\u578b\u638c\u63e1\u201c\u4f55\u65f6\u641c\u7d22\u3001\u641c\u7d22\u4ec0\u4e48\u3001\u4f7f\u7528\u4f55\u79cd\u5de5\u5177，\u4ee5\u53ca\u5982\u4f55\u57fa\u4e8e\u68c0\u7d22\u5185\u5bb9\u63a8\u7406\u201d\u3002<\/p>\n

2. \u591a\u6a21\u6001\u641c\u7d22\u5de5\u5177\u96c6\u6210：\u6211\u4eec\u6784\u5efa\u4e86\u771f\u5b9e\u4e16\u754c\u591a\u6a21\u6001\u641c\u7d22\u6d41\u7a0b，\u5305\u542b\u4e09\u79cd\u5de5\u5177：（1）\u6587\u672c\u641c\u7d22\u5de5\u5177\u2014\u2014\u652f\u6301\u6a21\u578b\u53d1\u8d77\u9488\u5bf9\u6027\u67e5\u8be2，\u4ee5\u68c0\u7d22\u76f8\u5173\u7f51\u9875\u5e76\u83b7\u53d6\u6700\u65b0\u4e8b\u5b9e\u77e5\u8bc6；（2）\u57fa\u4e8eGrounding DINO（Liu\u7b49\u4eba，2024b）\u7684\u5b9a\u4f4d\u5de5\u5177\u2014\u2014\u6839\u636e\u6a21\u578b\u751f\u6210\u7684\u89c6\u89c9\u5b9e\u4f53\u6307\u4ee3\u63cf\u8ff0，\u8bc6\u522b\u5e76\u88c1\u526a\u8f93\u5165\u56fe\u50cf\u4e2d\u7684\u76f8\u5173\u533a\u57df；（3）\u56fe\u50cf\u641c\u7d22\u5de5\u5177\u2014\u2014\u57fa\u4e8e\u8f93\u5165\u56fe\u50cf（\u88c1\u526a\u540e\u6216\u5b8c\u6574\u56fe\u50cf）\u68c0\u7d22\u7f51\u7edc\u5185\u5bb9（\u5305\u62ec\u6807\u9898\u548c\u63cf\u8ff0），\u5e2e\u52a9\u6a21\u578b\u83b7\u53d6\u7f51\u7edc\u4fe1\u606f\u4ee5\u8bc6\u522b\u964c\u751f\u89c6\u89c9\u5b9e\u4f53\u3002<\/p>\n

3. \u6027\u80fd\u63d0\u5347：\u901a\u8fc7\u201c\u51b7\u542f\u52a8SFT\u521d\u59cb\u5316+GRPO\u5728\u7ebfRL\u201d\u7684\u4e24\u9636\u6bb5\u8bad\u7ec3\u6d41\u7a0b，\u6211\u4eec\u7684\u6a21\u578b\u5b9e\u73b0\u4e86\u5f53\u524d\u6700\u4f18\u6027\u80fd，\u8d85\u8d8a\u4e86\u73b0\u6709\u5f00\u6e90\u57fa\u51c6\u6a21\u578b（\u89c1\u56fe1）\u3002\u6211\u4eec\u5206\u6790\u4e86\u201c\u81ea\u6211\u53cd\u601d\u3001\u81ea\u6211\u4fee\u6b63\u53ca\u88c1\u526a\u56fe\u50cf\u641c\u7d22\u201d\u5bf9\u6027\u80fd\u7684\u5f71\u54cd，\u5e76\u5bf9\u5de5\u5177\u8c03\u7528\u884c\u4e3a\u8fdb\u884c\u4e86\u8865\u5145\u5206\u6790，\u4e3a\u63a8\u52a8MLLMs\u4e2d\u591a\u6a21\u6001\u7f51\u7edc\u641c\u7d22\u5de5\u5177\u7684\u96c6\u6210\u63d0\u4f9b\u4e86\u6709\u4ef7\u503c\u7684\u53c2\u8003\u3002<\/p>\n

\n

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\"\"<\/p>\n

\u56fe 2（\u4e0a）DeepMMSearchVQA \u6570\u636e\u751f\u6210\u6d41\u7a0b：<\/p>\n

\u9996\u5148\u5c06\u95ee\u9898\u2013\u56fe\u50cf\u5bf9 (q,i) \u8f93\u5165 Gemini \u6a21\u578b，\u7531\u5176\u751f\u6210\u63a8\u7406\u8fc7\u7a0b\u5e76\u8f93\u51fa\u4e00\u4e2a\u52a8\u4f5c\u6807\u8bb0\u3002\u968f\u540e\u6267\u884c\u68c0\u67e5 A\u3001B\u3001C：\u82e5\u68c0\u67e5 A \u6216 B \u4e0d\u901a\u8fc7，\u5219\u4e22\u5f03\u8be5\u6837\u672c；\u82e5\u68c0\u67e5 C \u901a\u8fc7，\u5219\u5f97\u5230\u6700\u7ec8\u7b54\u6848\u5e76\u4fdd\u5b58\u8be5\u6837\u672c\u3002\u5426\u5219，\u6d41\u7a0b\u4f1a\u6839\u636e\u52a8\u4f5c\u6807\u8bb0\u8c03\u7528\u641c\u7d22\u5de5\u5177\u3002\u8be5\u5de5\u5177\u4f1a\u68c0\u7d22\u6392\u540d\u524d k \u7684\u7f51\u9875\u7ed3\u679c，\u5bf9\u5176\u8fdb\u884c\u6458\u8981\u540e\u56de\u4f20\u7ed9 Gemini，\u5c06\u7f51\u9875\u68c0\u7d22\u4fe1\u606f\u878d\u5165\u4e0a\u4e0b\u6587，\u4f9b\u63a8\u7406\u8fc7\u7a0b\u7684\u540e\u7eed\u8f6e\u6b21\u4f7f\u7528\u3002<\/p>\n

（\u4e0b）DeepMMSearchVQA \u7edf\u8ba1\u4fe1\u606f：<\/p>\n

\u77e5\u8bc6\u5206\u7c7b\u4f53\u7cfb\u3001\u4e0d\u540c\u5bf9\u8bdd\u8f6e\u6b21\u4e0b\u7684\u6837\u672c\u5206\u5e03\u3001\u4f7f\u7528\u6587\u672c\u641c\u7d22\u3001\u56fe\u50cf\u641c\u7d22\u4e0e\u88c1\u526a\u56fe\u50cf\u641c\u7d22\u7684\u95ee\u9898\u5360\u6bd4\u3002<\/p>\n

\n

\u5b9e\u9a8c<\/p>\n

\u5b9e\u9a8c\u8bbe\u7f6e<\/p>\n

\u591a\u6a21\u6001\u641c\u7d22\u5de5\u5177<\/p>\n

\u4e3a\u83b7\u53d6\u989d\u5916\u4e0a\u4e0b\u6587\u548c\u6700\u65b0\u4fe1\u606f，\u6211\u4eec\u6784\u5efa\u4e86\u5305\u542b\u4e09\u79cd\u5de5\u5177\u7684\u591a\u6a21\u6001\u641c\u7d22\u6d41\u7a0b：\u6587\u672c\u641c\u7d22\u5de5\u5177\u3001\u56fe\u50cf\u641c\u7d22\u5de5\u5177\u548c\u5b9a\u4f4d\u5de5\u5177\u3002<\/p>\n

– \u6587\u672c\u641c\u7d22\u5de5\u5177：\u57fa\u4e8eDeepMMSearch-R1\u751f\u6210\u7684\u6587\u672c\u67e5\u8be2，\u901a\u8fc7\u5185\u90e8\u7f51\u7edc\u641c\u7d22API\u4ece\u5927\u89c4\u6a21\u7d22\u5f15\u4e2d\u68c0\u7d22\u76f8\u5173\u6587\u6863，\u968f\u540e\u7531\u57fa\u4e8eLLM\u7684\u6458\u8981\u6a21\u5757\u5bf9Top 5\u7ed3\u679c\u8fdb\u884c\u6d53\u7f29，\u751f\u6210\u4e0e\u7528\u6237\u95ee\u9898\u76f4\u63a5\u76f8\u5173\u7684\u7b80\u6d01\u8f93\u51fa；<\/p>\n

– \u56fe\u50cf\u641c\u7d22\u5de5\u5177：\u5f53\u6a21\u578b\u5224\u5b9a\u95ee\u9898\u4ec5\u6d89\u53ca\u56fe\u50cf\u7684\u7279\u5b9a\u533a\u57df\u65f6，\u4f1a\u5148\u751f\u6210\u63cf\u8ff0\u8be5\u5174\u8da3\u533a\u57df\u7684\u6307\u4ee3\u8868\u8fbe\u5f0f，\u518d\u901a\u8fc7Grounding DINO（Liu\u7b49\u4eba，2024b）\u5b9a\u4f4d\u8be5\u533a\u57df\u5e76\u751f\u6210\u8fb9\u754c\u6846，\u88c1\u526a\u540e\u4f5c\u4e3a\u68c0\u7d22\u8f93\u5165；\u82e5\u5b8c\u6574\u56fe\u50cf\u4e0e\u95ee\u9898\u76f8\u5173，\u5219\u76f4\u63a5\u4f7f\u7528\u539f\u59cb\u56fe\u50cf\u3002\u6700\u7ec8\u89c6\u89c9\u8f93\u5165\u901a\u8fc7\u5185\u90e8\u56fe\u50cf\u641c\u7d22API\u68c0\u7d22\u7f51\u7edc\u4e2d\u89c6\u89c9\u76f8\u4f3c\u7684\u56fe\u50cf，\u4ee5\u53ca\u5bf9\u5e94\u7684\u4e0a\u4e0b\u6587\u548c\u9875\u9762\u5143\u6570\u636e，\u518d\u7531LLM\u6458\u8981\u6a21\u5757\u5bf9Top 5\u7ed3\u679c\u6d53\u7f29，\u751f\u6210\u89c6\u89c9\u5b9e\u4f53\u7684\u7b80\u6d01\u63cf\u8ff0；<\/p>\n

– \u5b9a\u4f4d\u5de5\u5177：\u5373\u4e0a\u8ff0\u7684Grounding DINO，\u7528\u4e8e\u5b9e\u73b0\u56fe\u50cf\u4e2d\u7279\u5b9a\u533a\u57df\u7684\u7cbe\u51c6\u5b9a\u4f4d\u4e0e\u88c1\u526a\u3002<\/p>\n

\n

\u503c\u5f97\u6ce8\u610f\u7684\u662f，\u6211\u4eec\u672a\u5bf9\u6587\u672c\/\u56fe\u50cf\u641c\u7d22\u7684\u7d22\u5f15\u6216API\u8fdb\u884c\u4efb\u4f55\u4fee\u6539，\u4ee5\u6b64\u9a8c\u8bc1\u6a21\u578b\u4e0e\u6807\u51c6\u5316\u68c0\u7d22\u5de5\u5177\u7684\u65e0\u7f1d\u9002\u914d\u80fd\u529b\u3002\u6b64\u5916，\u6587\u672c\u548c\u56fe\u50cf\u641c\u7d22\u7ed3\u679c\u7684\u6458\u8981\u5747\u91c7\u7528gpt-5-chat-latest\u4f5c\u4e3aLLM\u6458\u8981\u5668\u2014\u2014\u8fd9\u4e00\u6b65\u9aa4\u5bf9\u4fdd\u6301\u68c0\u7d22\u5185\u5bb9\u7684\u7b80\u6d01\u6027\u81f3\u5173\u91cd\u8981，\u53ef\u907f\u514d\u8d85\u51fa\u6a21\u578b\u7684\u6700\u5927\u4e0a\u4e0b\u6587\u957f\u5ea6\u9650\u5236\u3002\u6458\u8981\u751f\u6210\u6240\u7528\u63d0\u793a\u8bed\u89c1\u9644\u5f55E.7\u3002<\/p>\n

\n

\u5b9e\u73b0\u7ec6\u8282<\/p>\n

\u6211\u4eec\u57fa\u4e8eLLaMA-Factory\u6846\u67b6（Zheng\u7b49\u4eba，2024）\u5bf9Qwen2.5-VL-7B-Instruct\u8fdb\u884c\u5fae\u8c03，\u5728\u6240\u6709\u76ee\u6807\u6a21\u5757\u4e2d\u5e94\u7528\u79e9\u4e3a8\u7684LoRA\u9002\u914d\u5668\u3002\u76d1\u7763\u5fae\u8c03\u8bad\u7ec3\u6301\u7eed3\u4e2aepoch，\u5b66\u4e60\u7387\u8bbe\u4e3a10^-4，\u91c7\u7528\u4f59\u5f26\u8c03\u5ea6\u5668\u548cbf16\u6df7\u5408\u7cbe\u5ea6，\u57281\u4e2a\u8282\u70b9（\u914d\u59078\u5f20H100 GPU）\u4e0a\u8fdb\u884c，\u5168\u5c40\u6279\u6b21\u5927\u5c0f\u4e3a8，\u5e76\u901a\u8fc7\u8f93\u5165\u63a9\u7801\u4ec5\u5bf9\u591a\u8f6eVQA\u6570\u636e\u96c6\u7684\u751f\u6210\u8f93\u51fa\u90e8\u5206\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n

\n

\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u91c7\u7528veRL\u6846\u67b6（Sheng\u7b49\u4eba，2024）\u4e2d\u7684GRPO\u7b97\u6cd5，\u4ee5gpt-5-chat-latest\u4f5c\u4e3a\u5956\u52b1\u6a21\u578b，\u8bbe\u7f6elambda_fmt=0.1\u3001KL\u60e9\u7f5a\u7cfb\u6570\u4e3a0.001\u3001\u88c1\u526a\u6bd4\u4f8b\u4e3a0.2\u3002RL\u8bad\u7ec3\u6301\u7eed30\u4e2aepoch，\u57284\u4e2a\u8282\u70b9（\u6bcf\u4e2a\u8282\u70b9\u914d\u59078\u5f20H100 GPU）\u4e0a\u8fdb\u884c，\u6279\u6b21\u5927\u5c0f\u4e3a512，\u8f68\u8ff9\u751f\u6210\u6570\u91cf\u4e3a8，\u5b66\u4e60\u7387\u521d\u59cb\u503c\u4e3a2 e^-6，\u5e76\u8bbe\u7f6e45\u6b65\u7684\u9884\u70ed\u9636\u6bb5\u3002\u54cd\u5e94\u7684\u6700\u5927\u957f\u5ea6\u8bbe\u4e3a8192 token，\u540c\u6837\u901a\u8fc7\u8f93\u5165\u63a9\u7801\u5c06\u4f18\u5316\u805a\u7126\u4e8e\u751f\u6210\u8f93\u51fa\u90e8\u5206\u3002\u66f4\u591a\u5b9e\u73b0\u7ec6\u8282\u89c1\u9644\u5f55D\u3002<\/p>\n

\n

\u57fa\u7ebf\u6a21\u578b<\/p>\n

\u4e3a\u9a8c\u8bc1DeepMMSearch-R1\u7684\u6709\u6548\u6027，\u6211\u4eec\u5c06\u5176\u4e0e\u591a\u7c7b\u5f3a\u57fa\u7ebf\u6a21\u578b\u5bf9\u6bd4，\u5305\u62ec\u95ed\u6e90\u6a21\u578b（GPT-4o\u3001GPT-o3）\u548c\u5f00\u6e90\u6a21\u578b（Qwen2.5-VL\u7cfb\u5217），\u5e76\u8bbe\u8ba1\u56db\u79cd\u8bc4\u4f30\u6d41\u7a0b：<\/p>\n

1. \u76f4\u63a5\u56de\u7b54（Direct Answer）：\u8981\u6c42\u6a21\u578b\u4e0d\u4f7f\u7528\u4efb\u4f55\u5916\u90e8\u68c0\u7d22，\u76f4\u63a5\u751f\u6210\u7b80\u6d01\u7b54\u6848；<\/p>\n

2. RAG\u6d41\u7a0b（RAG Workflow）：\u8981\u6c42\u6a21\u578b\u5bf9\u6bcf\u4e2a\u95ee\u9898\u6267\u884c\u56fa\u5b9a\u4e24\u8f6e\u68c0\u7d22\u2014\u2014\u5148\u56fe\u50cf\u641c\u7d22，\u518d\u6587\u672c\u641c\u7d22\u3002\u5176\u4e2d，\u7b2c\u4e00\u8f6e\u63d0\u4f9b\u56fe\u50cf\u641c\u7d22\u7ed3\u679c\u4ee5\u6307\u5bfc\u6587\u672c\u67e5\u8be2\u751f\u6210，\u7b2c\u4e8c\u8f6e\u63d0\u4f9b\u6587\u672c\u641c\u7d22\u7ed3\u679c\u4ee5\u751f\u6210\u6700\u7ec8\u7b54\u6848\u3002\u8be5\u6d41\u7a0b\u867d\u80fd\u6700\u5927\u5316\u5916\u90e8\u77e5\u8bc6\u83b7\u53d6，\u4f46\u5f53\u68c0\u7d22\u5230\u65e0\u5173\u6216\u4f4e\u8d28\u91cf\u5185\u5bb9\u65f6，\u53ef\u80fd\u5f15\u5165\u566a\u58f0；<\/p>\n

3. \u57fa\u4e8e\u63d0\u793a\u7684\u641c\u7d22\u4ee3\u7406（Prompt-based Search Agents）：\u901a\u8fc7\u63d0\u793a\u57fa\u7840\u6a21\u578b\u4f7f\u7528\u591a\u6a21\u6001\u641c\u7d22\u5de5\u5177，\u5e76\u5c06\u68c0\u7d22\u7ed3\u679c\u878d\u5165\u6700\u7ec8\u54cd\u5e94\u751f\u6210；<\/p>\n

4. \u5177\u5907\u7f51\u7edc\u641c\u7d22\u529f\u80fd\u7684\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（Web-search-equipped MLLMs）：\u6307\u80fd\u591f\u6267\u884c\u6309\u9700\u591a\u8f6e\u641c\u7d22\u7684\u6a21\u578b\u3002\u6b64\u524d\u7684Search-R1（Jin\u7b49\u4eba，2025）\u3001ReSearch（Chen\u7b49\u4eba，2025）\u7b49\u5de5\u4f5c\u4ec5\u5c40\u9650\u4e8e\u6587\u672c\u68c0\u7d22，\u65e0\u6cd5\u4f5c\u4e3a\u771f\u6b63\u7684\u591a\u6a21\u6001\u57fa\u7ebf；\u800cMMSearch-R1（Wu\u7b49\u4eba，2025）\u652f\u6301\u591a\u6a21\u6001\u68c0\u7d22，\u56e0\u6b64\u6210\u4e3a\u672c\u5b9e\u9a8c\u4e2d\u552f\u4e00\u7684\u8be5\u7c7b\u57fa\u7ebf\u3002<\/p>\n

\n

\u6240\u6709\u6d41\u7a0b\u6240\u7528\u63d0\u793a\u8bed\u89c1\u9644\u5f55E\u3002<\/p>\n

\n

\u6570\u636e\u96c6<\/p>\n

– \u8bad\u7ec3\u6570\u636e\u96c6：\u76d1\u7763\u5fae\u8c03\u9636\u6bb5\u91c7\u7528\u57fa\u4e8eInfoSeek（Chen\u7b49\u4eba，2023）\u6784\u5efa\u7684DeepMMSearchVQA\u6570\u636e\u96c6；\u5728\u7ebfGRPO\u4f18\u5316\u9636\u6bb5\u91c7\u7528FVQA（Wu\u7b49\u4eba，2025）\u8bad\u7ec3\u96c6\u2014\u2014\u9009\u62e9FVQA\u7684\u539f\u56e0\u662f\u5176\u201c\u9700\u56fe\u50cf\u641c\u7d22\u201d\u7684\u95ee\u9898\u6bd4\u4f8b\u9ad8\u4e8eSFT\u9636\u6bb5\u4f7f\u7528\u7684InfoSeek，\u53ef\u9f13\u52b1\u6a21\u578b\u66f4\u9891\u7e41\u5730\u8c03\u7528\u56fe\u50cf\u641c\u7d22\u5de5\u5177，\u8fd9\u5bf9\u63d0\u5347\u591a\u6a21\u6001\u4fe1\u606f\u67e5\u8be2\u7c7bVQA\u4efb\u52a1\u7684\u6027\u80fd\u81f3\u5173\u91cd\u8981；<\/p>\n

-\u8bc4\u4f30\u6570\u636e\u96c6：\u91c7\u7528InfoSeek\u6d4b\u8bd5\u96c6\u3001DynVQA（Li\u7b49\u4eba，2024c）\u3001SimpleVQA（Cheng\u7b49\u4eba，2025）\u3001Encyclopedic-VQA（Mensink\u7b49\u4eba，2023）\u3001OKVQA（Marino\u7b49\u4eba，2019）\u548cA-OKVQA（Schwenk\u7b49\u4eba，2022）\u4f5c\u4e3a\u57fa\u51c6\u6d4b\u8bd5\u96c6\u3002\u7531\u4e8eInfoSeek\u548cEncyclopedic-VQA\u89c4\u6a21\u8f83\u5927，\u6211\u4eec\u4ece\u4e24\u8005\u7684\u6d4b\u8bd5\u96c6\u4e2d\u5404\u968f\u673a\u62bd\u53d62000\u4e2a\u6837\u672c；SimpleVQA\u5219\u5305\u542b\u6240\u6709\u82f1\u6587QA\u6837\u672c；OKVQA\u548cA-OKVQA\u7684\u95ee\u9898\u57fa\u4e8eCOCO（Lin\u7b49\u4eba，2014）\u56fe\u50cf\u6784\u5efa，\u96be\u5ea6\u76f8\u5bf9\u8f83\u4f4e，\u5927\u591a\u65e0\u9700\u641c\u7d22\u2014\u2014\u5c3d\u7ba1\u8fd9\u4e9b\u57fa\u51c6\u6d4b\u8bd5\u96c6\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u201c\u5916\u90e8\u77e5\u8bc6\u67e5\u8be2\u80fd\u529b\u201d，\u4f46\u7531\u4e8e\u8bb8\u591a\u73b0\u4ee3MLLMs\u7684\u9884\u8bad\u7ec3\u6570\u636e\u5df2\u5305\u542bCOCO（Bai\u7b49\u4eba，2025），\u56e0\u6b64\u8fd9\u4e9b\u6570\u636e\u96c6\u7684\u96be\u5ea6\u5df2\u663e\u8457\u964d\u4f4e，\u4e14\u4ee5\u201c\u65e0\u9700\u641c\u7d22\u201d\u7684\u95ee\u9898\u4e3a\u4e3b\u3002<\/p>\n

\n

\u8bc4\u4f30\u6307\u6807<\/p>\n

\u6211\u4eec\u91c7\u7528\u201c\u4ee5LLM\u4e3a\u8bc4\u5224\u8005\u201d（LLM-as-Judge）\u7684\u6846\u67b6\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u2014\u2014\u8be5\u6846\u67b6\u901a\u8fc7LLM\u5224\u65ad\u54cd\u5e94\u7684\u51c6\u786e\u6027，\u80fd\u66f4\u597d\u5730\u6355\u6349\u591a\u6a21\u6001\u5f00\u653e\u57dfVQA\u4efb\u52a1\u4e2d\u201c\u6b63\u786e\u6027\u201d\u7684\u7ec6\u5fae\u5dee\u5f02（\u4f20\u7edf\u81ea\u52a8\u6307\u6807\u96be\u4ee5\u505a\u5230\u8fd9\u4e00\u70b9）\u3002\u5177\u4f53\u800c\u8a00，\u6211\u4eec\u4f7f\u7528gpt-5-chat-latest\u4f5c\u4e3a\u8bc4\u5224\u6a21\u578b，\u5411\u5176\u8f93\u5165\u201c\u95ee\u9898\u3001\u771f\u5b9e\u7b54\u6848\u3001\u6a21\u578b\u54cd\u5e94\u201d，\u7531\u5176\u5224\u5b9a\u54cd\u5e94\u662f\u5426\u6b63\u786e\u3002\u5b8c\u6574\u7684\u8bc4\u4f30\u63d0\u793a\u8bed\u89c1\u9644\u5f55E.5\u3002<\/p>\n

\n

\u7ed3\u679c\u4e0e\u5206\u6790<\/p>\n

  • \u5177\u5907\u7f51\u7edc\u641c\u7d22\u529f\u80fd\u7684\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（MLLMs）\u6027\u80fd\u4f18\u4e8eRAG\u6d41\u7a0b\u548c\u57fa\u4e8e\u63d0\u793a\u7684\u641c\u7d22\u4ee3\u7406\u57fa\u7ebf<\/li>\n
  • \u201c\u641c\u7d22\u5e73\u8861\u201d\u7684SFT\u6570\u636e（\u4ece\u6240\u6709\u77e5\u8bc6\u5206\u7c7b\u4e2d\u5747\u5300\u91c7\u6837\u6837\u672c）\u80fd\u5e26\u6765\u66f4\u4f18\u6027\u80fd<\/li>\n
  • SFT\u8d4b\u4e88\u6a21\u578b\u5de5\u5177\u4f7f\u7528\u80fd\u529b，RL\u5219\u901a\u8fc7\u51cf\u5c11\u4e0d\u5fc5\u8981\u8c03\u7528\u4f18\u5316\u5de5\u5177\u9009\u62e9\u884c\u4e3a<\/li>\n
  • \u57fa\u4e8eLoRA\u6a21\u5757\u7684SFT\u4e0e\u201c\u5e26KL\u60e9\u7f5a\u7684\u5728\u7ebfGRPO\u201d\u80fd\u4fdd\u6301\u6a21\u578b\u7684\u901a\u7528VQA\u80fd\u529b<\/li>\n

    \n

    \u603b\u7ed3<\/p>\n

    \u672c\u7814\u7a76\u63d0\u51faDeepMMSearch-R1\u2014\u2014\u4e00\u79cd\u65b0\u578b\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b，\u65e8\u5728\u901a\u8fc7\u96c6\u6210\u201c\u6309\u9700\u591a\u8f6e\u7f51\u7edc\u641c\u7d22\u80fd\u529b\u201d，\u63d0\u5347\u6a21\u578b\u5728\u201c\u77e5\u8bc6\u5bc6\u96c6\u578b\u201d\u548c\u201c\u4fe1\u606f\u67e5\u8be2\u578b\u201d\u89c6\u89c9\u95ee\u7b54\u4efb\u52a1\u4e2d\u7684\u6027\u80fd\u3002\u4e3a\u514b\u670d\u73b0\u6709\u68c0\u7d22\u589e\u5f3a\u65b9\u6cd5\u548c\u591a\u6a21\u6001\u4ee3\u7406\u7684\u5c40\u9650\u6027，\u6211\u4eec\u7684\u65b9\u6cd5\u5b9e\u73b0\u4e86\u4e24\u5927\u6838\u5fc3\u529f\u80fd：（1）\u901a\u8fc7\u81ea\u6211\u53cd\u601d\u4e0e\u81ea\u6211\u4fee\u6b63，\u5b9e\u73b0\u52a8\u6001\u8fed\u4ee3\u67e5\u8be2\u4f18\u5316；（2）\u5f15\u5165\u88c1\u526a\u56fe\u50cf\u641c\u7d22\u5de5\u5177，\u63d0\u5347\u56fe\u50cf\u641c\u7d22\u6548\u7387\u3002<\/p>\n

    \n

    \u6a21\u578b\u8bad\u7ec3\u91c7\u7528\u4e24\u9636\u6bb5\u6d41\u7a0b：<\/p>\n

    1. \u76d1\u7763\u5fae\u8c03（SFT）\u9636\u6bb5：\u57fa\u4e8e\u6240\u63d0\u51fa\u7684DeepMMSearchVQA\u6570\u636e\u96c6，\u8d4b\u4e88\u6a21\u578b\u5de5\u5177\u4f7f\u7528\u80fd\u529b；<\/p>\n

    2. \u5728\u7ebf\u5f3a\u5316\u5b66\u4e60（RL）\u9636\u6bb5：\u901a\u8fc7GRPO\u7b97\u6cd5\u8fdb\u4e00\u6b65\u4f18\u5316\u5de5\u5177\u4f7f\u7528\u884c\u4e3a，\u63d0\u5347\u6548\u7387\u548c\u6709\u6548\u6027\u3002<\/p>\n

    \n

    \u5b9e\u9a8c\u7ed3\u679c\u8868\u660e，DeepMMSearch-R1\u57286\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u96c6\u4e0a\u7684\u6027\u80fd\u5747\u8d85\u8d8a\u73b0\u6709\u57fa\u7ebf\u6a21\u578b\u3002\u6211\u4eec\u8ba4\u4e3a，DeepMMSearch-R1\u4e3a\u201c\u771f\u5b9e\u4e16\u754c\u591a\u6a21\u6001\u4fe1\u606f\u67e5\u8be2\u7c7bAI\u201d\u7684\u53d1\u5c55\u8fc8\u51fa\u4e86\u91cd\u8981\u4e00\u6b65，\u5728\u7f51\u7edc\u4ee3\u7406\u3001\u6559\u80b2\u3001\u6570\u5b57\u8f85\u52a9\u7b49\u9886\u57df\u5177\u6709\u5e7f\u9614\u5e94\u7528\u524d\u666f\u3002\u672a\u6765\u7814\u7a76\u53ef\u63a2\u7d22\u201c\u6269\u5c55\u5de5\u5177\u591a\u6837\u6027\u3001\u957f\u4e0a\u4e0b\u6587\u63a8\u7406\u3001\u5c06\u8bad\u7ec3\u6269\u5c55\u5230\u66f4\u5e7f\u6cdb\u7684\u591a\u8bed\u8a00\u548c\u591a\u6a21\u6001\u9886\u57df\u201d\u7b49\u65b9\u5411\u3002<\/p>\n

    \n

    \u4f26\u7406\u58f0\u660e（Ethics Statement）<\/p>\n

    \u672c\u7814\u7a76\u63d0\u51fa\u7684\u65b9\u6cd5\u53ef\u589e\u5f3a\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（MLLMs）\u7684\u5b9e\u65f6\u7f51\u7edc\u641c\u7d22\u80fd\u529b\u3002\u6b64\u7c7b\u7cfb\u7edf\u867d\u5728\u63d0\u5347\u4fe1\u606f\u4e30\u5bcc\u5ea6\u4e0e\u9002\u5e94\u6027\u65b9\u9762\u5177\u6709\u663e\u8457\u4f18\u52bf，\u4f46\u4e5f\u5b58\u5728\u4f26\u7406\u98ce\u9669：\u68c0\u7d22\u5230\u7684\u5185\u5bb9\u53ef\u80fd\u5305\u542b\u5e26\u6709\u504f\u89c1\u3001\u8fc7\u65f6\u6216\u8bef\u5bfc\u6027\u7684\u4fe1\u606f，\u800c\u81ea\u52a8\u6458\u8981\u8fc7\u7a0b\u53ef\u80fd\u4f1a\u653e\u5927\u8fd9\u4e9b\u9519\u8bef\u4fe1\u606f，\u6216\u5f15\u53d1\u7248\u6743\u95ee\u9898\u3002\u6b64\u5916，\u672c\u65b9\u6cd5\u4f9d\u8d56\u5916\u90e8\u57fa\u7840\u8bbe\u65bd，\u8fd9\u53ef\u80fd\u4f1a\u9650\u5236\u8d44\u6e90\u6709\u9650\u7684\u673a\u6784\u5bf9\u5176\u7684\u83b7\u53d6\u4e0e\u4f7f\u7528\u3002\u6211\u4eec\u5021\u5bfc\u91c7\u7528\u8d1f\u8d23\u4efb\u7684\u90e8\u7f72\u5b9e\u8df5，\u5305\u62ec\u5bf9\u4fe1\u606f\u8fdb\u884c\u6765\u6e90\u6807\u6ce8\u3001\u5185\u5bb9\u8fc7\u6ee4，\u4ee5\u53ca\u5728\u9ad8\u98ce\u9669\u5e94\u7528\u573a\u666f\u4e2d\u5f15\u5165\u4eba\u5de5\u76d1\u7763\u3002<\/p>\n

    \n

    \n

    \u53ef\u590d\u73b0\u6027\u58f0\u660e（Reproducibility Statement）<\/p>\n

    \u6211\u4eec\u5df2\u91c7\u53d6\u63aa\u65bd\u786e\u4fdd\u7814\u7a76\u6210\u679c\u53ef\u88ab\u5b66\u672f\u754c\u590d\u73b0\u3002\u8bba\u6587\u4e2d\u8be6\u7ec6\u63d0\u4f9b\u4e86\u8bad\u7ec3\u4e0e\u8bc4\u4f30\u7684\u5b8c\u6574\u8bbe\u7f6e，\u5305\u62ec\u6570\u636e\u751f\u6210\u6d41\u7a0b\u3001\u57fa\u7840\u6a21\u578b\u67b6\u6784\u3001\u6240\u7528\u6570\u636e\u96c6\u53ca\u8bad\u7ec3\u6b65\u9aa4\u3002\u6211\u4eec\u516c\u5e03\u4e86\u76d1\u7763\u5fae\u8c03\u4e0e\u5f3a\u5316\u5b66\u4e60\u9636\u6bb5\u4f7f\u7528\u7684\u6240\u6709\u8d85\u53c2\u6570，\u540c\u65f6\u4e5f\u63d0\u4f9b\u4e86\u5b9e\u73b0\u7ec6\u8282（\u5982\u6279\u6b21\u5927\u5c0f\u3001\u5b66\u4e60\u7387\u53ca\u4f18\u5316\u8c03\u5ea6）\u3002\u6b64\u5916，\u6570\u636e\u96c6\u751f\u6210\u3001\u8bc4\u4f30\u53ca\u5956\u52b1\u5efa\u6a21\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u5b8c\u6574\u63d0\u793a\u8bed\u5747\u5df2\u6536\u5f55\u4e8e\u9644\u5f55E\u4e2d\u3002\u8fd9\u4e9b\u8d44\u6e90\u5171\u540c\u4e3a\u590d\u73b0\u6211\u4eec\u7684\u5b9e\u9a8c\u3001\u9a8c\u8bc1\u7814\u7a76\u7ed3\u679c\u63d0\u4f9b\u4e86\u53ef\u80fd\u3002<\/p>\n

    \n

    \u76f8\u5173\u5de5\u4f5c（Related Works）<\/p>\n

    1 \u591a\u6a21\u6001LLM（Multimodal LLMs）<\/p>\n

    \u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（MLLMs）\u5c06\u89c6\u89c9\u7f16\u7801\u5668\u4e0e\u9ad8\u6027\u80fd\u6587\u672c\u5927\u578b\u8bed\u8a00\u6a21\u578b（LLMs）\u76f8\u7ed3\u5408，\u80fd\u591f\u5904\u7406\u5e76\u63a8\u7406\u6587\u672c\u4e0e\u89c6\u89c9\u4e24\u79cd\u8f93\u5165\u3002\u8fd1\u5e74\u6765，GPT-4o（Hurst\u7b49\u4eba，2024）\u3001Gemini（Team\u7b49\u4eba，2023）\u3001Qwen2.5-VL（Bai\u7b49\u4eba，2025）\u3001InternVL（Chen\u7b49\u4eba，2024）\u3001LLaVA\u7cfb\u5217（Li\u7b49\u4eba，2024a；Lin\u7b49\u4eba，2023；Liu\u7b49\u4eba，2023b\u3001a\u30012024a）\u3001Phi（Abdin\u7b49\u4eba，2024）\u3001MM1（McKinzie\u7b49\u4eba，2024；Zhang\u7b49\u4eba，2024a）\u3001OVIS（Lu\u7b49\u4eba，2024b；Wang\u7b49\u4eba，2025）\u3001VILA（Lin\u7b49\u4eba，2024；Nath\u7b49\u4eba，2025）\u3001Gemma（Team\u7b49\u4eba，2024a\u3001b）\u7b49\u6a21\u578b\u5df2\u5728\u89c6\u89c9\u611f\u77e5\u3001\u89c6\u89c9\u5b9a\u4f4d\u548c\u591a\u6a21\u6001\u63a8\u7406\u9886\u57df\u5c55\u73b0\u51fa\u5f3a\u5927\u80fd\u529b，\u5728\u89c6\u89c9\u95ee\u7b54\u3001\u56fe\u50cf\u63cf\u8ff0\u751f\u6210\u548c\u591a\u6a21\u6001\u5bf9\u8bdd\u7b49\u4efb\u52a1\u4e2d\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002<\/p>\n

    \u8fd9\u4e9b\u8fdb\u5c55\u51f8\u663e\u4e86MLLMs\u4f5c\u4e3a\u771f\u5b9e\u4e16\u754c\u5e94\u7528（\u5982\u6570\u5b57\u52a9\u624b\u3001\u6559\u80b2\u548c\u4fe1\u606f\u83b7\u53d6）\u6838\u5fc3\u7ec4\u4ef6\u7684\u6f5c\u529b\u3002\u7136\u800c，\u5c3d\u7ba1\u5177\u5907\u8fd9\u4e9b\u4f18\u52bf，MLLMs\u5728\u5904\u7406\u77e5\u8bc6\u5bc6\u96c6\u578b\u6216\u4fe1\u606f\u67e5\u8be2\u578b\u4efb\u52a1\u65f6\u4ecd\u5b58\u5728\u6839\u672c\u6027\u5c40\u9650（Mensink\u7b49\u4eba，2023；Chen\u7b49\u4eba，2023；Cheng\u7b49\u4eba，2025；Li\u7b49\u4eba，2024c）：\u5176\u8bad\u7ec3\u4f9d\u8d56\u9759\u6001\u8bed\u6599\u5e93，\u800c\u73b0\u5b9e\u4e16\u754c\u4fe1\u606f\u4e0d\u65ad\u66f4\u65b0，\u8fd9\u5fc5\u7136\u5bfc\u81f4\u6a21\u578b\u77e5\u8bc6\u8fc7\u65f6；\u6b64\u5916，\u5f00\u653e\u4e16\u754c\u77e5\u8bc6\u7684\u5e7f\u5ea6\u9075\u5faa\u957f\u5c3e\u5206\u5e03，\u65e0\u6cd5\u5728\u56fa\u5b9a\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u8986\u76d6\u6240\u6709\u7f55\u89c1\u6216\u65b0\u5174\u4e8b\u5b9e（Mensink\u7b49\u4eba，2023），\u8fd9\u4f7f\u5f97MLLMs\u96be\u4ee5\u5e94\u5bf9\u957f\u5c3e\u77e5\u8bc6\u53ca\u9700\u8981\u6700\u65b0\u80cc\u666f\u7684\u4fe1\u606f\u67e5\u8be2\u4efb\u52a1\u3002<\/p>\n

    2 \u57fa\u4e8eRAG\u7684\u641c\u7d22（RAG-based Search）<\/p>\n

    \u987e\u540d\u601d\u4e49，\u68c0\u7d22\u589e\u5f3a\u751f\u6210（RAG）\u8303\u5f0f\u901a\u8fc7\u5411\u91cf\u641c\u7d22\u4ece\u56fa\u5b9a\u77e5\u8bc6\u8bed\u6599\u5e93\u4e2d\u68c0\u7d22\u5916\u90e8\u4fe1\u606f，\u5e76\u5c06\u5176\u878d\u5165\u6a21\u578b\u4e0a\u4e0b\u6587\u4ee5\u751f\u6210\u57fa\u4e8e\u4e8b\u5b9e\u7684\u54cd\u5e94\u3002\u8be5\u9886\u57df\u7684\u65e9\u671f\u6210\u679c\u5305\u62ecREALM（Guu\u7b49\u4eba，2020）\u2014\u2014\u8be5\u65b9\u6cd5\u901a\u8fc7\u8054\u5408\u4f18\u5316\u5bc6\u96c6\u68c0\u7d22\u5668\u4e0e\u8bed\u8a00\u6a21\u578b，\u5f15\u5165\u4e86\u68c0\u7d22\u589e\u5f3a\u9884\u8bad\u7ec3，\u4ee5\u652f\u6301\u77e5\u8bc6\u5bc6\u96c6\u578b\u4efb\u52a1；RAG（Lewis\u7b49\u4eba，2020）\u8fdb\u4e00\u6b65\u63a8\u8fdb\u4e86\u8fd9\u4e00\u8303\u5f0f，\u5c06\u751f\u6210\u5f0f\u5e8f\u5217\u5230\u5e8f\u5217（seq2seq）\u6a21\u578b\u4e0e\u795e\u7ecf\u68c0\u7d22\u96c6\u6210，\u5728\u5f00\u653e\u57df\u95ee\u7b54\u4efb\u52a1\u4e2d\u5c55\u73b0\u51fa\u663e\u8457\u4f18\u52bf\u3002<\/p>\n

    \u8fd1\u5e74\u6765，\u7814\u7a76\u4eba\u5458\u5c06\u68c0\u7d22\u589e\u5f3a\u6269\u5c55\u5230\u591a\u6a21\u6001\u573a\u666f：REVEAL（Hu\u7b49\u4eba，2023）\u63d0\u51fa\u4e86\u68c0\u7d22\u589e\u5f3a\u89c6\u89c9-\u8bed\u8a00\u9884\u8bad\u7ec3\u6846\u67b6，\u5bf9\u8bb0\u5fc6\u6a21\u5757\u3001\u7f16\u7801\u5668\u3001\u68c0\u7d22\u5668\u548c\u751f\u6210\u5668\u8fdb\u884c\u7aef\u5230\u7aef\u9884\u8bad\u7ec3，\u5e76\u4f7f\u7528\u6d77\u91cf\u6570\u636e；VisRAG（Yu\u7b49\u4eba，2024）\u63d0\u51fa\u4e86\u57fa\u4e8e\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\u7684RAG\u6d41\u7a0b，\u5c06\u6587\u6863\u76f4\u63a5\u4f5c\u4e3a\u56fe\u50cf\u5d4c\u5165\u4ee5\u8fdb\u884c\u68c0\u7d22，\u907f\u514d\u4e86\u6587\u672c\u89e3\u6790\u8fc7\u7a0b\u4e2d\u7684\u4fe1\u606f\u4e22\u5931，\u540c\u65f6\u652f\u6301\u5bf9\u68c0\u7d22\u6587\u6863\u8fdb\u884c\u8054\u5408\u7b5b\u9009，\u4ec5\u4fdd\u7559\u76f8\u5173\u6027\u6700\u9ad8\u3001\u51c6\u786e\u6027\u6700\u5f3a\u7684\u53c2\u8003\u5185\u5bb9；RoRA-VLM（Qi\u7b49\u4eba，2024）\u5f15\u5165\u4e86\u4e24\u9636\u6bb5\u68c0\u7d22\u6d41\u7a0b，\u901a\u8fc7\u56fe\u50cf\u951a\u5b9a\u7684\u6587\u672c\u67e5\u8be2\u6269\u5c55，\u534f\u540c\u878d\u5408\u67e5\u8be2\u4e2d\u7684\u89c6\u89c9\u4e0e\u6587\u672c\u4fe1\u606f，\u4ee5\u68c0\u7d22\u6700\u76f8\u5173\u7684\u591a\u6a21\u6001\u77e5\u8bc6\u7247\u6bb5，\u6b64\u5916\u8fd8\u901a\u8fc7\u5728\u8bad\u7ec3\u4e2d\u6ce8\u5165\u5bf9\u6297\u6027\u566a\u58f0，\u63d0\u5347\u4e86\u68c0\u7d22\u589e\u5f3a\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\u7684\u9c81\u68d2\u6027；RaR（Liu\u7b49\u4eba，2024e）\u9488\u5bf9\u89c6\u89c9\u8bc6\u522b\u4efb\u52a1，\u63d0\u51fa\u4e86\u201c\u68c0\u7d22-\u6392\u5e8f\u589e\u5f3a\u201d\u591a\u6a21\u6001\u6846\u67b6，\u5f3a\u8c03\u4e86\u68c0\u7d22\u8d28\u91cf\u5728\u591a\u6a21\u6001\u611f\u77e5\u4efb\u52a1\u4e2d\u7684\u5173\u952e\u4f5c\u7528；\u8fd1\u671f\u7684MMKB-RAG（Ling\u7b49\u4eba，2025）\u5219\u63d0\u51fa\u4e86\u65b0\u578b\u591a\u6a21\u6001RAG\u6846\u67b6，\u5229\u7528\u6a21\u578b\u56fa\u6709\u7684\u77e5\u8bc6\u8fb9\u754c\u52a8\u6001\u751f\u6210\u8bed\u4e49\u6807\u7b7e，\u4ee5\u4f18\u5316\u68c0\u7d22\u8fc7\u7a0b\u3002<\/p>\n

    \u5c3d\u7ba1\u53d6\u5f97\u4e86\u8fd9\u4e9b\u8fdb\u5c55，RAG\u65b9\u6cd5\u4ecd\u4f9d\u8d56\u9759\u6001\u8bed\u6599\u5e93，\u4e14\u5b58\u5728\u201c\u6240\u6709\u4fe1\u606f\u5747\u53ef\u88ab\u56fa\u5b9a\u6570\u636e\u96c6\u8986\u76d6\u201d\u7684\u4e0d\u5207\u5b9e\u9645\u5047\u8bbe\u3002\u5728\u771f\u5b9e\u573a\u666f\u4e2d，\u7f51\u7edc\u4fe1\u606f\u5177\u6709\u52a8\u6001\u6027\u548c\u6301\u7eed\u6027，\u68c0\u7d22\u590d\u6742\u5ea6\u6781\u9ad8，\u8fd9\u4e9b\u56e0\u7d20\u4e3aRAG\u5728\u5f00\u653e\u57df\u89c6\u89c9\u95ee\u7b54（VQA）\u4e2d\u7684\u5b9e\u9645\u5e94\u7528\u5e26\u6765\u4e86\u5de8\u5927\u6311\u6218\u3002<\/p>\n

    3 \u57fa\u4e8e\u63d0\u793a\u7684\u641c\u7d22\u4ee3\u7406（Prompt-based Search Agents）<\/p>\n

    \u57fa\u4e8e\u63d0\u793a\u7684\u641c\u7d22\u4ee3\u7406\u4ee5\u5373\u63d2\u5373\u7528\u6a21\u5757\u7684\u5f62\u5f0f\u5b58\u5728，\u65e0\u9700\u989d\u5916\u5fae\u8c03\u5373\u53ef\u4e0e\u73b0\u6709\u591a\u6a21\u6001LLM\u96c6\u6210\u3002\u5728\u8fd9\u79cd\u67b6\u6784\u4e2d，MLLM\u626e\u6f14\u201c\u4ee3\u7406\u201d\u89d2\u8272，\u5c06\u7f51\u7edc\u68c0\u7d22\u4fe1\u606f\u878d\u5165\u54cd\u5e94\u751f\u6210\u8fc7\u7a0b\u3002\u4f8b\u5982，VSA（Zhang\u7b49\u4eba，2024b）\u652f\u6301\u4efb\u4f55\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\u4f5c\u4e3a\u591a\u6a21\u6001\u81ea\u52a8\u641c\u7d22\u5f15\u64ce，\u5176\u6d41\u7a0b\u5206\u4e3a\u4e09\u6b65：（1）\u89c6\u89c9\u5185\u5bb9\u6784\u5efa\u2014\u2014\u6a21\u578b\u8bc6\u522b\u76ee\u6807\u5bf9\u8c61；（2）\u7f51\u7edc\u77e5\u8bc6\u641c\u7d22\u2014\u2014\u751f\u6210\u591a\u4e2a\u5b50\u95ee\u9898\u5e76\u53d1\u8d77\u7f51\u7edc\u67e5\u8be2；（3）\u6458\u8981\u751f\u6210\u2014\u2014\u6574\u5408\u68c0\u7d22\u4fe1\u606f\u540e\u56de\u7b54\u7528\u6237\u95ee\u9898\u3002<\/p>\n

    \u7c7b\u4f3c\u5730，MMSearch（Jiang\u7b49\u4eba，2024）\u5f15\u5165\u4e86MMSearch-Engine\u6846\u67b6，\u901a\u8fc7\u91cd\u65b0\u67e5\u8be2\u3001\u91cd\u6392\u5e8f\u548c\u6458\u8981\u751f\u6210，\u4e3a\u5927\u578b\u591a\u6a21\u6001\u6a21\u578b\u8d4b\u4e88\u641c\u7d22\u80fd\u529b；OmniSearch（Li\u7b49\u4eba，2024c）\u8fdb\u4e00\u6b65\u63a8\u8fdb\u4e86\u8fd9\u4e00\u601d\u8def，\u63d0\u51fa\u4e86\u7528\u4e8e\u591a\u6a21\u6001\u68c0\u7d22\u7684\u81ea\u9002\u5e94\u89c4\u5212\u4ee3\u7406\u2014\u2014\u8be5\u4ee3\u7406\u5c06\u590d\u6742\u95ee\u9898\u52a8\u6001\u5206\u89e3\u4e3a\u5e8f\u5217\u6027\u5b50\u95ee\u9898，\u5e76\u76f8\u5e94\u9009\u62e9\u68c0\u7d22\u52a8\u4f5c，\u4e14\u5728\u6bcf\u4e00\u6b65\u4e2d，\u89c4\u5212\u5668\u4f1a\u901a\u8fc7\u6c42\u89e3\u5668\u8bc4\u4f30\u5148\u524d\u7684\u68c0\u7d22\u53cd\u9988，\u4ee5\u51b3\u5b9a\u201c\u4f18\u5316\u67e5\u8be2\u3001\u5207\u6362\u68c0\u7d22\u6a21\u5f0f（\u5982\u6587\u672c\u3001\u56fe\u50cf\u3001\u7f51\u7edc）\u6216\u751f\u6210\u65b0\u5b50\u95ee\u9898\u201d\u3002\u8fd9\u79cd\u57fa\u4e8e\u53cd\u9988\u7684\u7075\u6d3b\u6d41\u7a0b\u53d6\u4ee3\u4e86\u50f5\u5316\u7684\u542f\u53d1\u5f0f\u89c4\u5219，\u66f4\u9002\u7528\u4e8e\u52a8\u6001\u3001\u591a\u8df3\u3001\u591a\u6a21\u6001\u7684VQA\u573a\u666f\u3002<\/p>\n

    \u7136\u800c，\u4e0a\u8ff0\u65b9\u6cd5\u5747\u672a\u5bf9\u57fa\u7840\u6a21\u578b\u8fdb\u884c\u201c\u4e0e\u7f51\u7edc\u68c0\u7d22\u4fe1\u606f\u53ca\u5916\u90e8\u641c\u7d22\u5de5\u5177\u4ea4\u4e92\u201d\u7684\u4e13\u95e8\u8bad\u7ec3，\u5bfc\u81f4\u6a21\u578b\u96be\u4ee5\u5e94\u5bf9\u771f\u5b9e\u7f51\u7edc\u4fe1\u606f\u542b\u566a\u58f0\u3001\u590d\u6742\u5ea6\u9ad8\u7684\u7279\u6027\u3002<\/p>\n

    4 \u5177\u5907\u7f51\u7edc\u641c\u7d22\u529f\u80fd\u7684\u591a\u6a21\u6001LLM（Web-search Equipped MLLMs）<\/p>\n

    \u8fd1\u671f\u7814\u7a76\u805a\u7126\u4e8e\u901a\u8fc7R1\u4f18\u5316（R1-optimization）\u4e3aMLLMs\u8d4b\u4e88\u7f51\u7edc\u641c\u7d22\u80fd\u529b，\u8fd9\u4e00\u8d8b\u52bf\u6e90\u4e8eOpenAI o1\u3001o3\u53caDeepSeek-R1\u7b49\u63a8\u7406\u6a21\u578b\u7684\u6210\u529f\u3002DeepResearcher（Zheng\u7b49\u4eba，2025）\u91c7\u7528\u591a\u4ee3\u7406\u6d4f\u89c8\u67b6\u6784\u548cGRPO\u7b97\u6cd5，\u5b66\u4e60\u5728\u771f\u5b9e\u7ea6\u675f\u6761\u4ef6（\u5982API\u9650\u5236\u3001\u7f51\u7edc\u5ef6\u8fdf\u3001\u53cd\u722c\u866b\u673a\u5236）\u4e0b\u5bfc\u822a\u3001\u63d0\u53d6\u548c\u7b5b\u9009\u4efb\u610f\u7f51\u9875\u4e2d\u7684\u4fe1\u606f；R1-Searcher（Song\u7b49\u4eba，2025）\u63d0\u51fa\u4e86\u4e24\u9636\u6bb5\u201c\u57fa\u4e8e\u7ed3\u679c\u7684\u5f3a\u5316\u5b66\u4e60\u201d\u6846\u67b6，\u4f7fLLMs\u80fd\u5728\u77e5\u8bc6\u5bc6\u96c6\u578b\u4efb\u52a1\u7684\u63a8\u7406\u8fc7\u7a0b\u4e2d\u81ea\u4e3b\u8c03\u7528\u5916\u90e8\u641c\u7d22\u7cfb\u7edf\u2014\u2014\u7b2c\u4e00\u9636\u6bb5\u4ec5\u5956\u52b1\u6a21\u578b\u201c\u5b66\u4e60\u89e6\u53d1\u68c0\u7d22\u201d（\u4e0d\u8003\u8651\u7b54\u6848\u6b63\u786e\u6027），\u7b2c\u4e8c\u9636\u6bb5\u5219\u8bad\u7ec3\u6a21\u578b\u201c\u6574\u5408\u68c0\u7d22\u8bc1\u636e\u4ee5\u6700\u5927\u5316\u7b54\u6848\u51c6\u786e\u6027\u201d；Search-R1（Jin\u7b49\u4eba，2025）\u5f15\u5165\u4e86\u201c\u68c0\u7d22token\u63a9\u7801\u201d\u673a\u5236，\u907f\u514d\u5f3a\u5316\u5b66\u4e60\u76ee\u6807\u76f4\u63a5\u5bf9\u68c0\u7d22\u5185\u5bb9\u8fdb\u884c\u4f18\u5316，\u4ece\u800c\u5728\u6df7\u5408\u751f\u6210token\u4e0e\u68c0\u7d22token\u65f6\u7a33\u5b9a\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/p>\n

    \u4f46\u4e0a\u8ff0\u5de5\u4f5c\u5747\u5c40\u9650\u4e8e\u6587\u672c\u641c\u7d22，\u65e0\u6cd5\u6267\u884c\u56fe\u50cf\u641c\u7d22，\u8fd9\u6781\u5927\u5730\u9650\u5236\u4e86\u5b83\u4eec\u5728\u591a\u6a21\u6001\u77e5\u8bc6\u5bc6\u96c6\u578b\u95ee\u7b54\u4efb\u52a1\u4e2d\u7684\u9002\u7528\u6027\u3002MMSearch-R1（Wu\u7b49\u4eba，2025）\u662f\u73b0\u6709\u552f\u4e00\u652f\u6301\u591a\u6a21\u6001\u68c0\u7d22\u7684\u7814\u7a76，\u4f46\u4ecd\u5b58\u5728\u660e\u663e\u5c40\u9650：\u9996\u5148，\u5c3d\u7ba1\u6a21\u578b\u53ef\u81ea\u4e3b\u51b3\u5b9a\u4f7f\u7528\u4f55\u79cd\u5de5\u5177，\u4f46\u6bcf\u79cd\u5de5\u5177\u4ec5\u80fd\u8c03\u7528\u4e00\u6b21，\u65e0\u6cd5\u901a\u8fc7\u81ea\u6211\u53cd\u601d\u4e0e\u81ea\u6211\u4fee\u6b63\u8c03\u6574\u51b3\u7b56；\u5176\u6b21，\u5728\u77e5\u8bc6\u5bc6\u96c6\u578bVQA\u4efb\u52a1\u4e2d，\u7cbe\u51c6\u8bc6\u522b\u95ee\u9898\u6240\u6307\u5411\u7684\u56fe\u50cf\u89c6\u89c9\u5b9e\u4f53\u81f3\u5173\u91cd\u8981，\u4f46\u771f\u5b9e\u573a\u666f\u4e2d\u7684\u80cc\u666f\u5e72\u6270\u548c\u65e0\u5173\u89c6\u89c9\u5b9e\u4f53\u4f1a\u7ed9\u68c0\u7d22\u8fc7\u7a0b\u5f15\u5165\u566a\u58f0，\u963b\u788d\u76ee\u6807\u5b9e\u4f53\u7684\u51c6\u786e\u5b9a\u4f4d，\u5bfc\u81f4\u56fe\u50cf\u641c\u7d22\u6548\u679c\u4e0d\u4f73（Mensink\u7b49\u4eba，2023）\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e9b\u5c40\u9650，\u672c\u7814\u7a76\u63d0\u51faDeepMMSearch-R1\u2014\u2014\u8be5\u6a21\u578b\u901a\u8fc7\u201c\u57fa\u4e8e\u76f8\u5173\u56fe\u50cf\u88c1\u526a\u533a\u57df\u7684\u641c\u7d22\u201d\u6267\u884c\u56fe\u50cf\u68c0\u7d22，\u5e76\u80fd\u8fed\u4ee3\u4f18\u5316\u6587\u672c\u641c\u7d22\u67e5\u8be2，\u4ee5\u66f4\u597d\u5730\u5e94\u5bf9\u771f\u5b9e\u7f51\u7edc\u4fe1\u606f\u7684\u566a\u58f0\u95ee\u9898\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u4eca\u5929\u5206\u4eab\u7684\u8bba\u6587\u662f\u300aDeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search\u300b\u539f\u6587\u94fe\u63a5：https:\/\/arxiv.org\/abs\/2510.12801\u8fd9\u662f\u82f9\u679c\u7684\u4e00\u7bc7\u8bba\u6587，\u5173\u4e8e\u591a\u6a21\u6001\u7f51\u683c\u641c\u7d22\u7684\u3002\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b（Multimodal Large Language Models, MLLMs）\u5728\u5b9e\u9645\u5e94\u7528\u4e2d，\u9700\u8981\u83b7\u53d6\u5916\u90e8\u77e5\u8bc6\u6e90&#x<\/p>\n","protected":false},"author":2,"featured_media":103677,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10753,75,4119,5706,4988],"topic":[],"class_list":["post-103679","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-10753","tag-llm","tag-rag","tag-5706","tag-4988"],"yoast_head":"\nDeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search\u8bba\u6587\u5206\u4eab - 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