{"id":5638,"date":"2024-10-22T04:06:00","date_gmt":"2024-10-21T19:06:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=5638"},"modified":"2024-10-22T04:06:00","modified_gmt":"2024-10-21T19:06:00","slug":"mmed-rag-versatile-multimodal-rag-system-for-medical-vision-language-models","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=5638","title":{"rendered":"MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models\u00a0"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models\u00a0<\/strong>[49.8]<br>\u8fd1\u5e74,Med-LVLM (Med-LVLMs) \u306e\u9032\u6b69\u306b\u3088\u308a,\u5bfe\u8a71\u578b\u8a3a\u65ad\u30c4\u30fc\u30eb\u306e\u65b0\u305f\u306a\u53ef\u80fd\u6027\u304c\u9ad8\u307e\u3063\u3066\u3044\u308b\u3002 Med-LVLM\u306f\u3001\u3057\u3070\u3057\u3070\u4e8b\u5b9f\u306e\u5e7b\u899a\u306b\u60a9\u307e\u3055\u308c\u3001\u8aa4\u3063\u305f\u8a3a\u65ad\u306b\u3064\u306a\u304c\u308b\u3053\u3068\u304c\u3042\u308b\u3002 \u6211\u3005\u306f,Med-LVLM\u306e\u73fe\u5b9f\u6027\u3092\u9ad8\u3081\u308b\u305f\u3081\u306b,\u591a\u76ee\u7684\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30ebRAG\u30b7\u30b9\u30c6\u30e0MMed-RAG\u3092\u63d0\u6848\u3059\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2410.13085v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2410.13085v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Wed, 16 Oct 2024 23:03:27 GMT)<\/li>\n\n\n\n<li>\u533b\u7642\u30c9\u30e1\u30a4\u30f3\u3001\u304b\u3064\u3001\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u306aRAG\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848\u3002\u30c9\u30e1\u30a4\u30f3\u3092\u5224\u5225\u3057\u3066Retirever\u3092\u4f7f\u3044\u5206\u3051\u308b\u306a\u3069\u51dd\u3063\u305f\u69cb\u6210\u3002\u300cThese enhancements significantly boost the factual accuracy of Med-LVLMs.\u300d\u3068\u306e\u3053\u3068\u3067\u3001\u3053\u306e\u624b\u306e\u5de5\u592b\u306f\u91cd\u8981\u3002<\/li>\n\n\n\n<li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/richard-peng-xia\/MMed-RAG\">GitHub &#8211; richard-peng-xia\/MMed-RAG: [arXiv&#8217;24 &amp; NeurIPSW&#8217;24] MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[324,558],"class_list":["post-5638","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-rag","tag-558"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/5638","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5638"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/5638\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}