{"id":16204,"date":"2024-07-14T18:48:13","date_gmt":"2024-07-14T10:48:13","guid":{"rendered":"http:\/\/139.9.1.231\/?p=16204"},"modified":"2024-07-19T16:24:20","modified_gmt":"2024-07-19T08:24:20","slug":"llm-m","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2024\/07\/14\/llm-m\/","title":{"rendered":"\u591a\u6a21\u6001\u89c6\u89c9-\u8bed\u8a00\u5927\u6a21\u578b\u7684\u67b6\u6784\u6f14\u8fdb"},"content":{"rendered":"\n<p><a href=\"https:\/\/zhuanlan.zhihu.com\/p\/693885420\">https:\/\/zhuanlan.zhihu.com\/p\/693885420<\/a><\/p>\n\n\n\n<p class=\"has-light-pink-background-color has-background\"><a href=\"https:\/\/arxiv.org\/abs\/2306.13549\" target=\"_blank\" rel=\"noreferrer noopener\">A Survey on Multimodal Large Language Models<\/a><\/p>\n\n\n\n<p class=\"has-light-pink-background-color has-background\"><a href=\"https:\/\/github.com\/BradyFU\/Awesome-Multimodal-Large-Language-Models\">https:\/\/github.com\/BradyFU\/Awesome-Multimodal-Large-Language-Models<\/a><\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pica.zhimg.com\/70\/v2-03b2123be3019a1bd98a235d7dd10d93_1440w.image?source=172ae18b&amp;biz_tag=Post\" alt=\"\u591a\u6a21\u6001\u89c6\u89c9-\u8bed\u8a00\u5927\u6a21\u578b\u7684\u67b6\u6784\u6f14\u8fdb\"\/><\/figure>\n\n\n\n<p>\u672c\u6587\u56de\u987e\u4e86\u591a\u6a21\u6001LLM (\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b) \u8fd1\u4e00\u5e74\u6765\u7684\u6a21\u578b\u67b6\u6784\u6f14\u8fdb\uff0c\u5bf9\u5176\u4e2d\u6709\u4ee3\u8868\u6027\u7684\u5de5\u4f5c\u8fdb\u884c\u4e86\u7cbe\u70bc\u603b\u7ed3.\u8fd9\u7bc7\u7efc\u8ff0\u4e00\u5f20\u56fe\u603b\u7ed3\u4e86\u591a\u6a21\u6001LLM\u7684\u5178\u578b\u67b6\u6784\uff1a<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/07\/image-91.png\" alt=\"\" class=\"wp-image-16214\" width=\"440\" height=\"566\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/07\/image-91.png 517w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/07\/image-91-233x300.png 233w\" sizes=\"(max-width: 440px) 100vw, 440px\" \/><\/figure><\/div>\n\n\n\n<h2 id=\"h_693885420_0\">BLIP<\/h2>\n\n\n\n<p>\u30102022.01\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2201.12086\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2201.12086<\/a><\/p>\n\n\n\n<p>\u7edf\u4e00\u89c6\u89c9-\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\uff0c\u4f7f\u7528captioner+filter\u9ad8\u6548\u5229\u7528\u4e92\u8054\u7f51\u6709\u566a\u6570\u636e<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/ar5iv.labs.arxiv.org\/html\/2201.12086\/assets\/x1.png\" alt=\"Refer to caption\"\/><figcaption>\u6211\u4eec\u4f7f\u7528Captioner\uff08Cap\uff09\u4e3aWeb\u56fe\u50cf\u751f\u6210\u5408\u6210\u6807\u9898\uff0c\u5e76\u4f7f\u7528Filter\uff08Filt\uff09\u5220\u9664\u5608\u6742\u7684\u6807\u9898\u3002<\/figcaption><\/figure>\n\n\n\n<p>\u6a21\u578b\u67b6\u6784\uff1a<\/p>\n\n\n\n<ul><li><strong>Image\/text encoder:<\/strong>&nbsp;ITC loss\u5bf9\u9f50\u89c6\u89c9\u548c\u8bed\u8a00\u8868\u5f81\uff0c\u57fa\u4e8eALBEF\u63d0\u51fa\u7684momentum distillation<\/li><li><strong>Image-grounded text encoder:<\/strong>&nbsp;ITM loss\u5efa\u6a21\u89c6\u89c9-\u8bed\u8a00\u4ea4\u4e92\uff0c\u533a\u5206positive\/negative\u56fe\u6587\u5bf9\uff0c\u4f7f\u7528hard negative mining\u6316\u6398\u66f4\u9ad8\u76f8\u4f3c\u5ea6\u7684\u8d1f\u4f8b\u4f18\u5316\u6a21\u578b<\/li><li><strong>Image-grounded text decoder:<\/strong>&nbsp;LM loss\u5b9e\u73b0\u57fa\u4e8e\u56fe\u50cf\u7684\u6587\u672c\u89e3\u7801\uff0c\u5c06\u53cc\u5411self-attention\u66ff\u6362\u4e3acausal self-attention<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/ar5iv.labs.arxiv.org\/html\/2201.12086\/assets\/x2.png\" alt=\"Refer to caption\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_1\">BLIP-2<\/h2>\n\n\n\n<p>\u30102023.01\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2301.12597\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2301.12597<\/a><\/p>\n\n\n\n<p>\u4f7f\u7528\u76f8\u5bf9\u8f7b\u91cf\u7684Q-Former\u8fde\u63a5\u89c6\u89c9-\u8bed\u8a00\u6a21\u6001\uff0c\u901a\u8fc7\u4e24\u9636\u6bb5\u8bad\u7ec3\uff1a\u7b2c1\u9636\u6bb5\u57fa\u4e8e\u51bb\u4f4f\u7684\u89c6\u89c9\u7f16\u7801\u5668\uff0c\u7b2c2\u9636\u6bb5\u57fa\u4e8e\u51bb\u4f4f\u7684LLM<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/ar5iv.labs.arxiv.org\/html\/2301.12597\/assets\/x1.png\" alt=\"Refer to caption\"\/><figcaption>BLIP-2\u7684\u6846\u67b6\u6982\u8ff0\u3002\u6211\u4eec\u6309\u7167\u4e24\u9636\u6bb5\u7b56\u7565\u9884\u8bad\u7ec3\u8f7b\u91cf\u7ea7Querying Transformer\uff0c\u4ee5\u5f25\u8865\u6a21\u6001\u5dee\u8ddd\u3002\u7b2c\u4e00\u9636\u6bb5\u4ece\u51bb\u7ed3\u56fe\u50cf\u7f16\u7801\u5668\u5f15\u5bfc\u89c6\u89c9\u8bed\u8a00\u8868\u793a\u5b66\u4e60\u3002\u7b2c\u4e8c\u9636\u6bb5\u4ece\u51bb\u7ed3\u7684LLM\u5f15\u5bfc\u89c6\u89c9\u5230\u8bed\u8a00\u7684\u751f\u6210\u5b66\u4e60\uff0c\u8fd9\u4f7f\u5f97\u96f6\u62cd\u6444\u6307\u4ee4\u7684\u56fe\u50cf\u5230\u6587\u672c\u751f\u6210\u6210\u4e3a\u53ef\u80fd<\/figcaption><\/figure>\n\n\n\n<p><strong>\u7b2c1\u9636\u6bb5\uff1a<\/strong>\u540c\u6837\u4f18\u5316ITC\/ITM\/LM loss\uff0c\u4f7f\u7528\u4e0d\u540c\u7684self-attention mask\uff0cquery\u548ctext\u7aef\u5171\u4eabself-attention\u53c2\u6570\uff0c\u4f7f\u5f97\u53ef\u5b66\u4e60\u7684query embedding\u63d0\u53d6\u4e0etext\u8bed\u4e49\u6700\u76f8\u5173\u7684\u89c6\u89c9\u8868\u5f81\uff1b\u4f7f\u7528BERT-base\u521d\u59cb\u5316\uff0c32\u4e2a768\u7ef4\u7684query\u4f5c\u4e3a\u4fe1\u606f\u74f6\u9888<\/p>\n\n\n\n<ul><li>ITC\uff1a\u8ba1\u7b97\u6bcf\u4e2aquery\u4e0etext\u7684\u76f8\u4f3c\u5ea6\uff0c\u53d6\u6700\u5927\u7684\uff1b\u4f7f\u7528batch\u5185negatives\uff0c\u4e0d\u518d\u4f7f\u7528momentum queue<\/li><li>ITM\uff1a\u5bf9\u6bcf\u4e2aquery\u4e0etext\u7684\u5206\u7c7blogits\u53d6\u5e73\u5747\uff0c\u4f7f\u7528hard negatives mining\u6316\u6398\u96be\u8d1f\u4f8b<\/li><li>LM\uff1atext token\u548cfrozen image encoder\u4e0d\u80fd\u76f4\u63a5\u4ea4\u4e92\uff0c\u8981\u6c42query\u80fd\u63d0\u53d6\u6709\u76ca\u7684\u89c6\u89c9\u7279\u5f81<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/ar5iv.labs.arxiv.org\/html\/2301.12597\/assets\/x2.png\" alt=\"Refer to caption\"\/><\/figure>\n\n\n\n<p><strong>\u7b2c2\u9636\u6bb5\uff1a<\/strong>\u53ef\u57fa\u4e8edecoder-only\/encoder-decoder LLM\u8fdb\u884c\u9002\u914d\uff0cFC\u5c42\u5bf9\u9f50\u7ef4\u5ea6<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/ar5iv.labs.arxiv.org\/html\/2301.12597\/assets\/x3.png\" alt=\"Refer to caption\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_2\">LLaVA<\/h2>\n\n\n\n<p>\u30102023.04\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2304.08485\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2304.08485<\/a><\/p>\n\n\n\n<ul><li>\u4f7f\u7528\u4ec5\u6587\u672c\u6a21\u6001\u7684GPT-4\u751f\u6210\u89c6\u89c9-\u8bed\u8a00\u6307\u4ee4\u9075\u5faa\u6570\u636e\uff0c\u7528\u4e8e\u5fae\u8c03\u591a\u6a21\u6001LLM<ul><li>\u4f7f\u7528\u56fe\u7247\u7684dense captions\u548cbounding boxes\u4f5c\u4e3aprompt\uff0c\u53ef\u4ee5\u751f\u6210\u5bf9\u8bdd\u3001\u7ec6\u8282\u63cf\u8ff0\u3001\u590d\u6742\u63a8\u7406\u7b49\u6307\u4ee4<\/li><\/ul><\/li><li>CLIP ViT-L\/14 + Vicuna\uff0c\u4f7f\u7528\u7b80\u5355\u7684\u7ebf\u6027\u5c42\u8fdb\u884c\u6620\u5c04<ul><li>\u66f4\u590d\u6742\u7684\uff1aFlamingo\u4e2dgated cross-attention\uff0cBLIP-2\u4e2d\u7684Q-former<\/li><\/ul><\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/80\/v2-eeae3f1e3282dd956ae9817614f7861c_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_5\">Qwen-VL<\/h2>\n\n\n\n<p>\u30102023.08\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2308.12966\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2308.12966<\/a><\/p>\n\n\n\n<p>\u652f\u6301\u4e2d\u82f1\u53cc\u8bed\u3001\u591a\u56fe\u50cf\u8f93\u5165<\/p>\n\n\n\n<p>Qwen-7B + OpenCLIP ViT-bigG\uff0c\u8f93\u5165\u56fe\u50cf\u76f4\u63a5resize\u5230\u89c6\u89c9\u7f16\u7801\u5668\u8f93\u5165<\/p>\n\n\n\n<p>\u4f4d\u7f6e\u611f\u77e5\u7684VL adapter\uff1a\u4f7f\u7528\u57fa\u4e8eQ-former\u7684\u5355\u5c42\u7684cross-attention\uff0c\u5c06\u56fe\u50cf\u7279\u5f81\u7ef4\u5ea6\u538b\u7f29\u5230256\uff0c\u5728query-key pairs\u4e2d\u5f15\u51652D\u7edd\u5bf9\u4f4d\u7f6e\u7f16\u7801\u589e\u5f3a\u4f4d\u7f6e\u4fe1\u606f<\/p>\n\n\n\n<p>\u56fe\u50cf\u8f93\u5165\uff1a&lt;img&gt;256-dim\u56fe\u50cf\u7279\u5f81&lt;\/img&gt;<\/p>\n\n\n\n<p>bounding box\u8f93\u5165\u8f93\u51fa\uff1a&lt;box&gt;(X_topleft, Y_topleft), (X_bottomright, Y_bottomright)&lt;\/box&gt;, &lt;ref&gt;\u2026&lt;\/ref&gt;\u6807\u8bb0box\u6240\u6307\u5185\u5bb9<\/p>\n\n\n\n<p><strong>\u4e09\u9636\u6bb5\u8bad\u7ec3\uff1a<\/strong><\/p>\n\n\n\n<p>stage1. \u9884\u8bad\u7ec3\uff1a\u57fa\u4e8e\u5927\u89c4\u6a21\u3001\u5f31\u6807\u6ce8\u3001\u7f51\u7edc\u722c\u53d6\u7684\u56fe\u50cf-\u6587\u672c\u5bf9\uff0c\u8f93\u5165\u5206\u8fa8\u7387224&#215;224\uff0c\u51bb\u4f4fLLM\uff0c\u8bad\u7ec3ViT\u548cQ-former\uff0c\u4e3b\u8981\u76ee\u7684\u662f\u6a21\u6001\u5bf9\u9f50<\/p>\n\n\n\n<p>stage2. \u591a\u4efb\u52a1\u9884\u8bad\u7ec3\uff1a\u57fa\u4e8e7\u79cd\u4e0b\u6e38\u89c6\u89c9-\u8bed\u8a00\u7406\u89e3\u4efb\u52a1\u7684\u9ad8\u8d28\u91cf\u3001\u7ec6\u7c92\u5ea6\u6807\u6ce8\u6570\u636e\u8bad\u7ec3\uff0c\u8f93\u5165\u5206\u8fa8\u7387448&#215;448\uff0c\u56fe\u50cf\/\u6587\u672c\u6570\u636e\u4ea4\u9519\uff0c\u8bad\u7ec3\u6574\u4e2a\u6a21\u578b<\/p>\n\n\n\n<p>stage3. \u6307\u4ee4\u5fae\u8c03\uff1a\u63d0\u5347\u6307\u4ee4\u9075\u5faa\u548c\u591a\u8f6e\u5bf9\u8bdd\u80fd\u529b\uff0c\u51bb\u4f4fViT\uff0c\u8bad\u7ec3LLM\u548cQ-former<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/80\/v2-0ca3bcfea9a05d39e812b9553a0c3656_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>Qwen-VL-Plus\u548cQwen-VL-Max\u63d0\u5347\u4e86\u89c6\u89c9\u63a8\u7406\u80fd\u529b\u3001\u56fe\u50cf\u7ec6\u8282\u7684\u8bc6\u522b\/\u63d0\u53d6\/\u5206\u6790\u80fd\u529b\uff08\u5c24\u5176\u662f\u6587\u672c\u5bfc\u5411\u7684\u4efb\u52a1\uff09\u3001\u652f\u6301\u9ad8\u5206\u8fa8\u7387\u548c\u6781\u7aef\u7eb5\u6a2a\u6bd4\u7684\u8f93\u5165\u56fe\u50cf\uff1b\u5728\u90e8\u5206\u4e2d\u6587\u573a\u666f\u8d85\u8fc7\u4e86GPT-4V\u548cGemini<\/p>\n\n\n\n<h2 id=\"h_693885420_6\">InternLM-XComposer<\/h2>\n\n\n\n<p>\u30102023.09\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2309.15112\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2309.15112<\/a><\/p>\n\n\n\n<p>\u4ea4\u9519\u56fe\u6587\u6784\u6210\uff1a\u81ea\u52a8\u5728\u8f93\u51fa\u6587\u672c\u4e2d\u63d2\u5165\u5408\u9002\u7684\u56fe\u7247<\/p>\n\n\n\n<p>EVA-CLIP ViT + InternLM-7B + Q-former (\u5c06\u56fe\u50cf\u7279\u5f81\u538b\u7f29\u523064\u4e2aembedding\uff09<\/p>\n\n\n\n<p><strong>\u4e24\u9636\u6bb5\u8bad\u7ec3\uff1a<\/strong><\/p>\n\n\n\n<p>stage1. \u9884\u8bad\u7ec3\uff1a\u51bb\u4f4fViT\uff0c\u8bad\u7ec3LLM\u548cQ-former<\/p>\n\n\n\n<p>stage2. \u76d1\u7763\u5fae\u8c03\uff1a\u5305\u62ec\u591a\u4efb\u52a1\u8bad\u7ec3\u548c\u6307\u4ee4\u5fae\u8c03\uff0c\u51bb\u4f4fViT\u548cLLM\uff0c\u8bad\u7ec3Q-former\uff0c\u5bf9LLM\u8fdb\u884cLoRA\u5fae\u8c03\uff0c\u589e\u5f3a\u6307\u4ee4\u9075\u5faa\u548c\u56fe\u6587\u6df7\u6392\u80fd\u529b<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-6372d423ef83a7318248bd882edcf499_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_7\">Fuyu-8B<\/h2>\n\n\n\n<p>\u30102023.10\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/huggingface.co\/adept\/fuyu-8b\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/huggingface.co\/adept\/fuyu-8b<\/a><\/p>\n\n\n\n<p>\u6a21\u578b\u67b6\u6784\u548c\u8bad\u7ec3\u8fc7\u7a0b\u7b80\u5355\uff0c\u6613\u4e8escaling\uff1b\u652f\u6301\u4efb\u610f\u56fe\u50cf\u5206\u8fa8\u7387\uff1b\u63a8\u7406\u901f\u5ea6\u5feb<\/p>\n\n\n\n<p>decoder-only\u7684transformer\uff0c\u6ca1\u6709\u4e13\u95e8\u7684\u56fe\u50cf\u7f16\u7801\u5668\uff1bimage patch\u76f4\u63a5\u7ebf\u6027\u6620\u5c04\u5230transformer\u7b2c\u4e00\u5c42<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-77767bd16c7bf7adab7e02095ec1eedb_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_8\">LLaVA-1.5<\/h2>\n\n\n\n<p>\u30102023.10\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2310.03744\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2310.03744<\/a><\/p>\n\n\n\n<p>\u4ecd\u4f7f\u7528MLP\u4f5c\u4e3a\u6a21\u6001\u8fde\u63a5\uff0c\u7a81\u51fa\u4e86\u8bad\u7ec3\u7684\u6570\u636e\u9ad8\u6548\u6027<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/80\/v2-083ebf809383f5e5cef84a2c1c44d62e_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_9\">CogVLM<\/h2>\n\n\n\n<p>\u30102023.11\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2311.03079\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2311.03079<\/a><\/p>\n\n\n\n<p>\u6df1\u5ea6\u89c6\u89c9-\u8bed\u8a00\u6a21\u6001\u878d\u5408\uff0c\u800c\u4e0d\u5f71\u54cdLLM\u539f\u6709\u7684\u8bed\u8a00\u80fd\u529b\uff1a\u51bb\u4f4fLLM\u548cViT\uff0c\u5728attention\u548cFFN\u5c42\u8bad\u7ec3\u4e00\u4efd\u89c6\u89c9\u4e13\u5bb6\u6a21\u5757<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-678808d7fceed32be9d6cdff65668eaf_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_10\">CogAgent<\/h2>\n\n\n\n<p>\u30102023.12\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2312.08914\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2312.08914<\/a><\/p>\n\n\n\n<p>\u9488\u5bf9GUI\u573a\u666f\u7684\u591a\u6a21\u6001\u7406\u89e3\u548c\u5bfc\u5f15\uff0c\u4f7f\u7528\u9ad8\u5206\u8fa8\u7387-\u4f4e\u5206\u8fa8\u7387\u53cc\u7f16\u7801\u5668\uff0c\u652f\u63011120&#215;1120\u7684\u5c4f\u5e55\u8f93\u5165<\/p>\n\n\n\n<p>\u9ad8\u5206\u8fa8\u7387\u5206\u652f\u4f7f\u7528\u66f4\u8f7b\u91cf\u7684ViT\uff0c\u57fa\u4e8ecross-attention\u5c06\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u7279\u5f81\u4e0eLLM\u6bcf\u5c42\u8fdb\u884c\u878d\u5408<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/80\/v2-5e9d54e431c5a65192133ee00f8f2304_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_11\">VILA<\/h2>\n\n\n\n<p>\u30102023.12\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2312.07533\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2312.07533<\/a><\/p>\n\n\n\n<p>\u63a2\u7d22\u4e86\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\u7684\u8bbe\u8ba1\u9009\u62e9\uff1a<\/p>\n\n\n\n<ol><li>\u9884\u8bad\u7ec3\u9636\u6bb5\u51bb\u4f4fLLM\u867d\u7136\u80fd\u53d6\u5f97\u8f83\u597d\u7684zero-shot\u6027\u80fd\uff0c\u4f46\u4e0a\u4e0b\u6587\u5b66\u4e60\u80fd\u529b\u4f9d\u8d56\u5bf9LLM\u7684\u5fae\u8c03<\/li><li>\u56fe\u6587\u4ea4\u9519\u7684\u9884\u8bad\u7ec3\u6570\u636e\u662f\u6709\u76ca\u7684\uff0c\u53ea\u7528\u56fe\u6587\u6570\u636e\u5bf9\u6548\u679c\u4e0d\u591f\u597d<\/li><li>\u5c06\u7eaf\u6587\u672c\u7684\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u52a0\u5165SFT\u9636\u6bb5\u6709\u52a9\u4e8e\u7f13\u89e3\u7eaf\u6587\u672c\u4efb\u52a1\u7684\u80fd\u529b\u9000\u5316\uff0c\u540c\u65f6\u4e5f\u80fd\u591f\u589e\u5f3a\u89c6\u89c9-\u8bed\u8a00\u4efb\u52a1\u7684\u51c6\u786e\u6027<\/li><\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/80\/v2-a9b27bacb2f29424dd449a36a52d49e6_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_12\">LLaVA-Next<\/h2>\n\n\n\n<p>\u30102024.01\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/llava-vl.github.io\/blog\/2024-01-30-llava-next\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/llava-vl.github.io\/blog\/2024-01-30-llava-next\/<\/a><\/p>\n\n\n\n<p>\u76f8\u5bf9\u4e8eLLaVA-1.5\uff0c\u4fdd\u6301\u4e86\u6781\u7b80\u7684\u8bbe\u8ba1\u548c\u6570\u636e\u9ad8\u6548\u6027\uff1a<\/p>\n\n\n\n<ol><li>\u63d0\u9ad8\u4e86\u8f93\u5165\u56fe\u50cf\u7684\u5206\u8fa8\u7387 (4x)\uff0c\u652f\u63013\u79cd\u7eb5\u6a2a\u6bd4\uff1a672&#215;672, 336&#215;1344, 1344&#215;336<\/li><li>\u66f4\u597d\u7684\u89c6\u89c9\u63a8\u7406\u548cOCR\u80fd\u529b\uff1a\u66f4\u597d\u7684\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u914d\u6bd4<\/li><li>\u66f4\u597d\u7684\u591a\u573a\u666f\u89c6\u89c9\u5bf9\u8bdd\uff1a\u66f4\u597d\u7684\u4e16\u754c\u77e5\u8bc6\u548c\u903b\u8f91\u63a8\u7406<\/li><li>\u66f4\u9ad8\u6548\u7684\u90e8\u7f72\u548c\u63a8\u7406\uff1aSGLang<\/li><\/ol>\n\n\n\n<p>\u52a8\u6001\u9ad8\u5206\u8fa8\u7387\uff1a\u89c6\u89c9\u7f16\u7801\u5668\u652f\u6301336&#215;336\u7684\u56fe\u50cf\u8f93\u5165\uff0c\u5bf9\u4e8e672&#215;672\u7684\u56fe\u50cf\uff0c\u6309\u7167{2,2}\u7684grid split\u62104\u4e2a\u56fe\u50cfpatch\u8fc7encoder\uff0cdownsample\u5230336&#215;336\u4e5f\u8fc7encoder\uff0c\u7279\u5f81\u62fc\u63a5\u4f5c\u4e3avisual tokens\u8f93\u5165\u5230LLM\u4e2d<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-b4b2f52da13938292f55abbe7017dd9d_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u6536\u96c6\u9ad8\u8d28\u91cf\u7528\u6237\u6570\u636e\uff0c\u5305\u62ec\u771f\u5b9e\u573a\u666f\u4e2d\u53cd\u6620\u7528\u6237\u66f4\u5e7f\u6cdb\u610f\u56fe\u7684\u6307\u4ee4\u6570\u636e\uff0c\u5229\u7528GPT-4V\u8fdb\u884c\u6570\u636e\u6784\u9020<\/p>\n\n\n\n<p>\u591a\u6a21\u6001\u6587\u6863\/\u56fe\u8868\u6570\u636e\uff0c\u589e\u5f3a\u6587\u6863OCR\u548c\u56fe\u8868\u7406\u89e3\u80fd\u529b<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-798dc56bbf47d33ffe2e29d7fc290219_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_13\"><strong>InternLM-XComposer2<\/strong><\/h2>\n\n\n\n<p>\u30102024.01\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2401.16420\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2401.16420<\/a><\/p>\n\n\n\n<p>\u63d0\u51fa\u4e86\u65b0\u7684\u6a21\u6001\u5bf9\u9f50\u65b9\u6cd5partial LoRA\uff1a\u53ea\u5728image token\u4e0a\u6dfb\u52a0LoRA\u53c2\u6570\uff0c\u4fdd\u8bc1\u9884\u8bad\u7ec3\u8bed\u8a00\u77e5\u8bc6\u7684\u5b8c\u6574\u6027\uff0c\u8fd9\u6837\u4e00\u4e2a\u66f4\u8f7b\u91cf\u7684\u89c6\u89c9\u7f16\u7801\u5668\u540c\u6837\u6709\u6548<\/p>\n\n\n\n<p>OpenAI CLIP ViT-L\/14 + InternLM2-7B + partial LoRA (rank=256)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/80\/v2-292025a3021d54dcee0bb445fa464110_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-a97dd605a92088687df374affa57d84d_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p><strong>\u4e24\u9636\u6bb5\u8bad\u7ec3\uff1a<\/strong><\/p>\n\n\n\n<p>stage1. \u9884\u8bad\u7ec3\uff1a\u51bb\u4f4fLLM\uff0c\u5fae\u8c03ViT\u548cpartial LoRA\u6a21\u5757\uff0c\u5305\u62ec\u901a\u7528\u8bed\u4e49\u5bf9\u9f50\uff08\u7406\u89e3\u56fe\u50cf\u57fa\u672c\u5185\u5bb9\uff09\u3001\u4e16\u754c\u77e5\u8bc6\u5bf9\u9f50\uff08\u8fdb\u884c\u590d\u6742\u7684\u77e5\u8bc6\u63a8\u7406\uff09\u3001\u89c6\u89c9\u80fd\u529b\u589e\u5f3a\uff08OCR\u3001\u7269\u4f53\u5b9a\u4f4d\u3001\u56fe\u8868\u7406\u89e3\uff09<\/p>\n\n\n\n<p>stage2. \u76d1\u7763\u5fae\u8c03\uff1a\u5fae\u8c03\u6574\u4e2a\u6a21\u578b\uff0c\u5305\u62ec\u591a\u4efb\u52a1\u8bad\u7ec3\u3001\u81ea\u7531\u5f62\u5f0f\u56fe\u6587\u6392\u5e03<\/p>\n\n\n\n<p><strong>InternLM-XComposer2-4KHD<\/strong><\/p>\n\n\n\n<p>2024.04\u53d1\u5e03\u4e864KHD\u7248\u672c\uff1a<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2404.06512\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2404.06512<\/a><\/p>\n\n\n\n<p>\u652f\u6301\u52a8\u6001\u5206\u8fa8\u7387\uff08336px \u2192 4K (3840&#215;1600))\uff1a\u6539\u8fdb\u4e86patch division\u8303\u5f0f\uff0c\u4fdd\u6301\u8bad\u7ec3\u56fe\u50cf\u539f\u6709\u7684\u7eb5\u6a2a\u6bd4\uff0c\u81ea\u52a8\u53d8\u5316patch\u6570\u76ee\uff0c\u57fa\u4e8e336&#215;336\u7684ViT\u914d\u7f6elayout<\/p>\n\n\n\n<p>\u52a8\u6001\u56fe\u50cf\u5212\u5206\uff1a\u5c06\u8f93\u5165\u56fe\u50cfresize and pad\u5230336\u7684\u6574\u6570\u500d\u5bbd\u9ad8<\/p>\n\n\n\n<p>\u7ed3\u5408\u56fe\u50cf\u7684global\u548clocal\u89c6\u89d2\uff1aglobal\u89c6\u89d2\u7531\u8f93\u5165\u76f4\u63a5resize\u5230336&#215;336\uff0c\u4f7f\u7528sep token\u5206\u9694\u4e24\u79cd\u89c6\u89d2\u7684token<\/p>\n\n\n\n<p>\u56fe\u50cf2D\u7ed3\u6784\u7684\u6362\u884c\u7b26\uff1a\u53ef\u5b66\u4e60\u7684\\n token\u5206\u9694\u56fe\u50cftoken\u884c<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-524ef85f16eea4b43a1acad48ebdcd8b_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_693885420_14\">Mini-Gemini<\/h2>\n\n\n\n<p>\u30102024.03\u53d1\u5e03\u3011<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2403.18814\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2403.18814<\/a><\/p>\n\n\n\n<p>\u4f7f\u7528\u53cc\u89c6\u89c9\u7f16\u7801\u5668\u63d0\u53d6\u4f4e\u5206\u8fa8\u7387embedding\u4f5c\u4e3aquery\uff0c\u9ad8\u5206\u8fa8\u7387\u7279\u5f81\u533a\u57df\u4f5c\u4e3akey\/value\uff0c\u4e24\u8005\u4e4b\u95f4\u505across-attention\uff0c\u8f93\u51fa\u6316\u6398\u7684tokens\u4f5c\u4e3aprompt\u524d\u7f00\uff0c\u8f93\u5165\u5230LLM\u505a\u63a8\u7406\uff0c\u5916\u63a5\u56fe\u50cf\u89e3\u7801\u5668\u751f\u6210\u56fe\u50cf(SDXL)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-ae3c2461e5506a0fc4ec1d6bf13ee29d_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_706145455_0\"><strong>LLaVA-NeXT\u7cfb\u5217<\/strong><\/h2>\n\n\n\n<h3 id=\"h_706145455_1\">LLaVA-1.5<\/h3>\n\n\n\n<p>23\u5e7410\u6708\uff0cLLaVA-1.5\u53d1\u5e03\uff0c\u901a\u8fc7\u5728\u89c6\u89c9\u548c\u8bed\u8a00\u6a21\u6001\u95f4\u6dfb\u52a0\u7b80\u5355\u7684MLP\u5c42\u5b9e\u73b0\u4e86\u8bad\u7ec3\u6837\u672c\u9ad8\u6548\u6027\uff0c\u4e3a\u591a\u6a21\u6001\u5927\u6a21\u578b\u5728\u4f4e\u6570\u636e\u4e1a\u52a1\u573a\u666f\u7684\u843d\u5730\u63d0\u4f9b\u4e86\u53ef\u80fd\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2310.03744\" target=\"_blank\" rel=\"noreferrer noopener\">[2310.03744] Improved Baselines with Visual Instruction Tuning<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/80\/v2-86fe5dd85d0a10c32de5de6f301c4348_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h3 id=\"h_706145455_2\">LLaVA-NeXT<\/h3>\n\n\n\n<p>24\u5e741\u6708\uff0cLLaVA-NeXT(1.6)\u53d1\u5e03\uff0c\u57281.5\u7684\u57fa\u7840\u4e0a\u4fdd\u6301\u4e86\u7cbe\u7b80\u7684\u8bbe\u8ba1\u548c\u6570\u636e\u9ad8\u6548\u6027\uff0c\u652f\u6301\u66f4\u9ad8\u7684\u5206\u8fa8\u7387\u3001\u66f4\u5f3a\u7684\u89c6\u89c9\u63a8\u7406\u548cOCR\u80fd\u529b\u3001\u66f4\u5e7f\u6cdb\u573a\u666f\u7684\u89c6\u89c9\u5bf9\u8bdd\u3002\u6a21\u578b\u5206\u4e3a\u4e24\u9636\u6bb5\u8bad\u7ec3\uff1a\u9636\u6bb51\u9884\u8bad\u7ec3\u53ea\u8bad\u7ec3\u8fde\u63a5\u5c42\uff0c\u9636\u6bb52\u6307\u4ee4\u5fae\u8c03\u8bad\u7ec3\u6574\u4e2a\u6a21\u578b\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/llava-vl.github.io\/blog\/2024-01-30-llava-next\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLaVA-NeXT: Improved reasoning, OCR, and world knowledge<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-a63729c2ceab8fffaaad1a383e32c317_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<ul><li><strong>\u52a8\u6001\u9ad8\u5206\u8fa8\u7387AnyRes<\/strong>\uff1a\u5982\u4e0a\u56fe\uff0c\u4e3a\u4e86\u8ba9\u6a21\u578b\u80fd\u611f\u77e5\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u7684\u590d\u6742\u7ec6\u8282\uff0c\u5bf9\u56fe\u50cf\u8fdb\u884c\u7f51\u683c\u5212\u5206\u3002\u6bd4\u5982\uff0c\u5bf9\u4e8e672&#215;672\u7684\u56fe\u50cf\uff0c\u4e00\u65b9\u9762\u63092&#215;2\u7684\u7f51\u683c\u5207\u5206\u4e3a4\u5f20336px\u7684\u8f93\u5165\u56fe\u50cf\u9001\u7ed9ViT\u7f16\u7801\u6210\u7279\u5f81\uff0c\u53e6\u4e00\u65b9\u9762\u5c06\u56fe\u50cf\u76f4\u63a5resize\u5230336px\u8fdb\u884c\u7f16\u7801\uff0c\u6700\u540e\u5c06\u4e24\u90e8\u5206\u7279\u5f81\u5408\u5e76\u8f93\u5165\u5230LLM\u4e2d\uff0c\u8fd9\u6837\u6a21\u578b\u5177\u5907\u4e86\u5168\u5c40\u548c\u5c40\u90e8\u7684\u89c6\u89c9\u63a8\u7406\u80fd\u529b\u3002<\/li><li><strong>\u6307\u4ee4\u6570\u636e\u6df7\u5408<\/strong>\uff1a\u4e00\u65b9\u9762\u4fdd\u8bc1\u6307\u4ee4\u6570\u636e\u5177\u6709\u9ad8\u8d28\u91cf\u3001\u591a\u6837\u6027\uff0c\u53cd\u6620\u771f\u5b9e\u573a\u666f\u7684\u5e7f\u6cdb\u7528\u6237\u610f\u56fe\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u8865\u5145\u6587\u6863\u548c\u8868\u683c\u6570\u636e\uff0c\u63d0\u5347\u6a21\u578b\u7684OCR\u548c\u56fe\u8868\u7406\u89e3\u80fd\u529b\u3002<\/li><li><strong>\u6269\u5927LLM\u5c3a\u5bf8<\/strong>\uff1a\u8003\u8651\u4e867B\u300113B\u300134B\u7684LLM\u3002<\/li><\/ul>\n\n\n\n<p>24\u5e745\u6708\uff0c\u56e2\u961f\u53d1\u5e03\u57fa\u4e8e\u66f4\u5f3aLLM\u7684LLaVA-NeXT\u7248\u672c\uff0c\u652f\u6301LLaMA3(8B)\u548cQwen1.5(72B\/110B)\u3002\u66f4\u5927\u7684LLM\u63d0\u4f9b\u66f4\u597d\u7684\u89c6\u89c9\u4e16\u754c\u77e5\u8bc6\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b\uff0c\u6700\u5927\u7684\u6a21\u578b\u63a5\u8fd1GPT-4V\u7684\u6027\u80fd\uff0c\u540c\u65f6\u4fdd\u8bc1\u4e86\u8bad\u7ec3\u9ad8\u6548\u6027\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/llava-vl.github.io\/blog\/2024-05-10-llava-next-stronger-llms\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLaVA-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild<\/a><\/p>\n\n\n\n<h3 id=\"h_706145455_3\">LLaVA-NeXT-Video<\/h3>\n\n\n\n<p>24\u5e744\u6708\uff0cLLaVA-NeXT-Video\u53d1\u5e03\uff0c\u5c55\u73b0\u51fa\u5f3a\u5927\u7684zero-shot\u89c6\u9891\u7406\u89e3\u80fd\u529b\u3002LLaVA-NeXT\u4e2d\u7684\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u52a8\u6001\u5212\u5206\u53ef\u4ee5\u5f88\u81ea\u7136\u5730\u8fc1\u79fb\u5230\u89c6\u9891\u6a21\u6001\u7528\u6765\u8868\u793a\u89c6\u9891\u7684\u591a\u5e27\uff0c\u4f7f\u5f97\u53ea\u5728\u56fe\u6587\u6a21\u6001\u4e0a\u8bad\u7ec3\u7684LLaVA-NeXT\u80fd\u5728\u89c6\u9891\u4efb\u52a1\u4e0a\u6cdb\u5316\u3002\u6b64\u5916\uff0c\u63a8\u7406\u65f6\u7684\u957f\u5ea6\u6cdb\u5316\u7528\u4e8e\u6709\u6548\u5904\u7406\u8d85\u51faLLM\u6700\u5927\u957f\u5ea6\u7684\u957f\u89c6\u9891\u8f93\u5165\u3002\u57fa\u4e8eLLaVA-NeXT-Image\u6a21\u578b\uff0c\u4f5c\u8005\u53d1\u5e03\u4e86\u5728\u89c6\u9891\u6570\u636e\u4e0a\u76d1\u7763\u5fae\u8c03\u7684LLaVA-NeXT-Video\uff0c\u4ee5\u53ca\u5728AI\u53cd\u9988\u7684\u76d1\u7763\u4e0b\u4f7f\u7528DPO\u504f\u597d\u5bf9\u9f50\u7684LLaVA-NeXT-Video-DPO\u3002\u4f7f\u7528SGLang\u90e8\u7f72\u548c\u63a8\u7406\uff0c\u652f\u6301\u53ef\u6269\u5c55\u7684\u5927\u89c4\u6a21\u89c6\u9891\u63a8\u7406\u3002\u53ef\u4ee5\u60f3\u5230\uff0c\u8fd9\u6709\u52a9\u4e8e\u6d77\u91cf\u89c6\u9891\u7684\u9ad8\u6548\u6587\u672c\u6807\u6ce8\uff0c\u50ac\u751f\u4e86\u672a\u6765\u66f4\u5f3a\u5927\u89c6\u9891\u751f\u6210\u6a21\u578b\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/llava-vl.github.io\/blog\/2024-04-30-llava-next-video\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLaVA-NeXT: A Strong Zero-shot Video Understanding Model<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-8419f55dd7eba5d1785876691fa6d527_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<ul><li><strong>AnyRes<\/strong>\uff1a\u53ef\u4ee5\u5c06N\u5e27\u89c6\u9891\u770b\u4f5c{1xN}\u7684\u7f51\u683c\uff0c\u800cLLM\u7684\u6700\u5927\u957f\u5ea6\u9650\u5236\u4e86\u53ef\u4ee5\u5904\u7406\u7684\u5e27\u6570\uff0c\u5f88\u81ea\u7136\u5730\u4f1a\u8003\u8651\u5bf9\u56fe\u50cf\u8fdb\u884c\u4e0b\u91c7\u6837\u51cf\u5c11\u6bcf\u5e27token\u6570\uff0c\u4f46\u4f5c\u8005\u53d1\u73b0\u4e3a\u4fdd\u8bc1\u6548\u679c\u4ecd\u53ea\u80fd\u5904\u740616\u5e27\u3002<\/li><li><strong>\u957f\u5ea6\u6cdb\u5316<\/strong>\uff1a\u57fa\u4e8eLLM\u7684\u957f\u5ea6\u5916\u63a8\u6280\u672f\uff08RoPE\u7684\u7ebf\u6027\u6269\u5c55\uff09\uff0c\u63a8\u7406\u65f6\u6269\u5c552\u500d\uff0c\u4ece\u4e4b\u524d\u768416\u5e27\u6269\u5c55\u523056\u5e27\uff0c\u5927\u5927\u63d0\u5347\u4e86\u6a21\u578b\u5206\u6790\u957f\u89c6\u9891\u5e8f\u5217\u7684\u80fd\u529b\u3002<\/li><li><strong>\u57fa\u4e8eLLM\u53cd\u9988\u7684DPO\u504f\u597d\u4f18\u5316<\/strong>\uff1a\u504f\u597d\u6570\u636e\u7531LLM\u751f\u6210\uff0c\u89c6\u9891\u8868\u793a\u4e3a\u8be6\u7ec6\u7684\u8bf4\u660e\u6587\u5b57\uff0c\u5e26\u6765\u4e86\u5f88\u5927\u7684\u6027\u80fd\u589e\u76ca\u3002<\/li><li>\u5bf9\u4e8e\u89c6\u9891\u6570\u636e\u7684\u5fae\u8c03\uff0c\u4f5c\u8005\u8fdb\u884c\u4e86<strong>ablation study<\/strong>\uff1a(1) \u5728LLaVA-NeXT\u56fe\u50cf\u7ea7\u6307\u4ee4\u5fae\u8c03\u540e\uff0c\u7ee7\u7eed\u5728\u89c6\u9891\u7ea7\u6307\u4ee4\u4e0a\u589e\u91cf\u5fae\u8c03\uff1b(2) \u5728LLaVA-NeXT\u56fe\u50cf\u7ea7\u9884\u8bad\u7ec3\u540e\uff0c\u5728\u56fe\u50cf\u7ea7\u548c\u89c6\u9891\u7ea7\u6570\u636e\u8054\u5408\u5fae\u8c03\uff0c\u6bcf\u4e2abatch\u6570\u636e\u5305\u542b\u4e00\u79cd\u7c7b\u578b\u6216\u8005\u6df7\u5408\u4e24\u79cd\u7c7b\u578b\uff0c\u5b9e\u9a8c\u8868\u660e\u6df7\u5408\u56fe\u50cf\u548c\u89c6\u9891\u6a21\u6001\u6570\u636e\u6548\u679c\u6700\u4f73\u3002<\/li><\/ul>\n\n\n\n<h3 id=\"h_706145455_4\">\u6307\u4ee4\u5fae\u8c03Ablation Study<\/h3>\n\n\n\n<p><br>\u56e2\u961f\u8fd8\u5206\u4eab\u4e86\u89c6\u89c9\u6307\u4ee4\u5fae\u8c03\u8fc7\u7a0b\u4e2d\u9664\u6570\u636e\u4e4b\u5916\u7684\u56e0\u7d20\u7684ablation study\uff0c\u4ece\u6a21\u578b\u67b6\u6784\u3001\u89c6\u89c9\u8868\u5f81\u3001\u8bad\u7ec3\u7b56\u7565\u89d2\u5ea6\u8fdb\u884c\u5206\u6790\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/llava-vl.github.io\/blog\/2024-05-25-llava-next-ablations\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLaVA-NeXT: What Else Influences Visual Instruction Tuning Beyond Data?<\/a><\/p>\n\n\n\n<ul><li><strong>\u6a21\u578b\u67b6\u6784<\/strong>\uff1a\u6269\u5c55LLM\u6bd4\u6269\u5c55\u89c6\u89c9\u7f16\u7801\u5668\u66f4\u6709\u6548\uff0c\u89c6\u89c9\u8f93\u5165\u914d\u7f6e\uff08\u5206\u8fa8\u7387\u3001token\u6570\uff09\u6bd4\u89c6\u89c9\u7f16\u7801\u5668\u5927\u5c0f\u66f4\u5173\u952e\u3002<ul><li>\u5b66\u4e60\u7387\uff1a\u4e3a\u4e86\u8bad\u7ec3\u66f4\u7a33\u5b9a\uff0c\u89c6\u89c9\u7f16\u7801\u5668\u7684\u5b66\u4e60\u7387\u901a\u5e38\u5e94\u8be5\u6bd4LLM\u5b66\u4e60\u7387\u5c0f10\u500d\uff5e5\u500d\uff0c\u66f4\u5927\u7684LLM\u9700\u8981\u66f4\u5c0f\u7684\u5b66\u4e60\u7387\uff0c\u5c3d\u91cf\u907f\u514dloss\u8dd1\u98de\u3002<\/li><li>\u89c6\u89c9\u7f16\u7801\u5668\uff1a\u76f8\u8f83\u4e8e\u6a21\u578b\u5927\u5c0f\uff0c\u57fa\u4e8e\u5206\u8fa8\u7387\u3001token\u6570\u7684\u89c6\u89c9\u7279\u5f81\u652f\u6301\u7f16\u7801\u66f4\u591a\u7684\u89c6\u89c9\u7ec6\u8282\uff0c\u9884\u8bad\u7ec3\u6570\u636e\u652f\u6301\u7f16\u7801\u66f4\u591a\u7684\u89c6\u89c9\u77e5\u8bc6\uff0c\u4f5c\u7528\u66f4\u91cd\u8981\u3002<\/li><\/ul><\/li><li><strong>\u89c6\u89c9\u8868\u5f81<\/strong>\uff1a\u5206\u8fa8\u7387\u3001\u7279\u5f81\u7a7a\u95f4\u89c6\u89c9token\u6570\u90fd\u91cd\u8981\uff0c\u76f8\u5bf9\u6765\u8bf4\u6269\u5c55\u5206\u8fa8\u7387\u66f4\u6709\u6548\uff0c\u5efa\u8bae\u4f7f\u7528AnyRes\u65f6\u4e0b\u91c7\u6837\u3002<ul><li>\u5bf9\u4e8e\u66f4\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u6216\u8005\u66f4\u957f\u7684\u89c6\u9891\uff0cAnyRes\u9700\u8981\u66f4\u591a\u7684\u683c\u5b50\u3002\u6bd4\u5982\uff0c\u5bf9\u4e8e\u8d85\u8fc7768&#215;768\u7684\u56fe\u50cf\uff0c\u4ee5\u524d\u7684\u65b9\u6848\u9996\u5148resize\u5230768&#215;768\u4f1a\u5bfc\u81f4\u7ec6\u8282\u4e22\u5931\u3002\u8fd9\u91cc\u8003\u8651\u5212\u5206\u6210\u66f4\u591a\u7684\u683c\u5b50\uff0c\u7136\u540e\u5bf9\u7f16\u7801\u7684\u7279\u5f81\u8fdb\u884c\u53cc\u7ebf\u6027\u63d2\u503c\uff08\u4e0b\u91c7\u6837\uff09\u5230\u66f4\u5c0f\u7684\u7279\u5f81\uff0c\u4ee5\u9632\u6b62\u89c6\u89c9token\u6570\u8fc7\u591a\u3002<\/li><\/ul><\/li><li><strong>\u8bad\u7ec3\u7b56\u7565<\/strong>\uff1a\u5728\u4e92\u8054\u7f51\u7ea7\u4f4e\u8d28\u6570\u636e\u4e0a\u5927\u89c4\u6a21\u9884\u8bad\u7ec3\u540e\uff0c\u6307\u4ee4\u5fae\u8c03\u524d\uff0c\u589e\u52a0\u4e00\u4e2a\u9636\u6bb5\uff0c\u4f7f\u7528\u4e00\u4e9b\u9ad8\u8d28\u91cf\u5408\u6210\u6570\u636e\u589e\u5f3a\u77e5\u8bc6\u3002<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-7ca3715e81f0d5239970b7454dbf7b31_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h3 id=\"h_706145455_5\"><strong>LLaVA-NeXT-Interleave<\/strong><\/h3>\n\n\n\n<p>24\u5e746\u6708\uff0cLLaVA-NeXT-Interleave\u53d1\u5e03\uff0c\u63d0\u51fa\u56fe\u6587\u4ea4\u9519\u683c\u5f0f\u53ef\u4ee5\u4f5c\u4e3a\u901a\u7528\u6a21\u7248\u7edf\u4e00\u4e0d\u540c\u7684\u89c6\u89c9\u6a21\u6001\uff0c\u6bd4\u5982\u5355\u56fe\u50cf(multi-patch)\u3001\u591a\u56fe\u50cf(multi-image)\u3001\u89c6\u9891(multi-frame)\u30013D(multi-view)\u3002\u5728\u4fdd\u8bc1LLaVA-NeXT\u5355\u56fe\u50cf\u8f93\u5165\u7684\u6027\u80fd\u4e0b\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5176\u5b83\u6a21\u6001\u4efb\u52a1\u7684\u6027\u80fd\uff0c\u800c\u4e14\u5728\u4e0d\u540c\u6a21\u6001\u4efb\u52a1\u4e0a\u5177\u6709\u521d\u6b65\u7684\u8fc1\u79fb\u80fd\u529b\u3002\u8fd9\u79cd\u5927\u4e00\u7edf\u7684\u6a21\u578b\u652f\u6301\u66f4\u5e7f\u6cdb\u771f\u5b9e\u573a\u666f\u7684\u5e94\u7528\uff0c\u6bd4\u5982\u591a\u9875PPT\u7684\u603b\u7ed3\u548c\u95ee\u7b54\u3001\u751f\u6210\u56fe\u50cf\u7f16\u8f91\u7684\u63d0\u793a\u8bcd\u3001\u591a\u6587\u6863\u7684\u6c47\u603b\u548c\u6bd4\u8f83\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/llava-vl.github.io\/blog\/2024-06-16-llava-next-interleave\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLaVA-NeXT: Tackling Multi-image, Video, and 3D in Large Multimodal Models<\/a><\/p>\n\n\n\n<p>\u4f5c\u8005\u5728\u8bad\u7ec3\u7b56\u7565\u4e0a\u8fdb\u884c\u4e86ablation study\uff1a<\/p>\n\n\n\n<ul><li>\u4eceLLaVA-NeXT\u5355\u56fe\u50cf\u6a21\u578b\u7ee7\u7eed\u8bad\u7ec3\uff0c\u4ecestage2\u5355\u56fe\u50cf\u6307\u4ee4\u5fae\u8c03\u540e\u7684\u6a21\u578b\u5f00\u59cb\u8bad\u7ec3\u6548\u679c\u66f4\u597d\uff0c\u53ef\u4ee5\u7ee7\u627f\u5355\u56fe\u50cf\u4efb\u52a1\u7684\u6307\u4ee4\u9075\u5faa\u80fd\u529b\u3002<\/li><li>\u4e24\u79cd\u7ec4\u7ec7\u683c\u5f0f\uff1a\u5c06\u6240\u6709\u56fe\u50cftoken\u653e\u5728\u6700\u524d\u9762\uff0c\u5728\u6587\u672c\u4e2d\u4f7f\u7528\u7279\u6b8atoken\u6307\u4ee3\u56fe\u50cf (in-the-front)\uff0c\u5c06\u56fe\u50cftoken\u653e\u5728\u5176\u539f\u6765\u7684\u4f4d\u7f6e\uff0c\u4e0e\u6587\u672c\u4ea4\u9519 (interleaved)\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u5728\u8bad\u7ec3\u9636\u6bb5\u6df7\u5408\u4e24\u79cd\u683c\u5f0f\u6709\u52a9\u4e8e\u5728\u63a8\u7406\u9636\u6bb5\u8fd9\u4e24\u79cd\u683c\u5f0f\u90fd\u53d6\u5f97\u66f4\u597d\u7684\u6027\u80fd\u3002<\/li><\/ul>\n\n\n\n<h2 id=\"h_706145455_6\">InternVL\u7cfb\u5217<\/h2>\n\n\n\n<h3 id=\"h_706145455_7\">InternVL-1.0<\/h3>\n\n\n\n<p>23\u5e7412\u6708\uff0c\u4e0a\u6d77AI Lab&nbsp;<a target=\"_blank\" href=\"https:\/\/www.zhihu.com\/people\/00500f88e7a8ea5ac6d3b48599227457\" rel=\"noreferrer noopener\">@OpenGVLab<\/a>\u53d1\u5e03InternVL\u3002\u8be5\u5de5\u4f5c\u5728\u6a21\u6001\u5bf9\u9f50\u4e2d\u89c6\u89c9\u7f16\u7801\u5668\u548cLLM\u4e4b\u95f4\u5728\u53c2\u6570\u89c4\u6a21\u548c\u7279\u5f81\u8868\u5f81\u80fd\u529b\u4e0a\u5b58\u5728\u8f83\u5927\u7684\u5dee\u8ddd\uff0c\u81ea\u7136\u5730\u63d0\u51fa\u6269\u5927\u89c6\u89c9\u7aef\u7684\u53c2\u6570\u91cf\u52306B (InternViT-6B)\uff0c\u7136\u540e\u4f7f\u7528\u4e0d\u540c\u8d28\u91cf\u7684\u56fe\u6587\u6570\u636e\u9010\u6e10\u4e0eLLM\u5bf9\u9f50\u3002\u6b64\u5916\uff0c\u8fde\u63a5\u5c42\u7684\u53c2\u6570\u91cf\u4e5f\u6269\u5927\u4e86\uff0c\u7c7b\u4f3cQ-Former\uff0c\u8fd9\u91cc\u8bbe\u8ba1\u4e86\u4e00\u4e2a8B\u7684\u8bed\u8a00\u4e2d\u95f4\u4ef6QLLaMA\uff0c\u4f7f\u7528Chinese-LLaMA\u7684\u53c2\u6570\u521d\u59cb\u5316\u589e\u5f3a\u5176\u8de8\u8bed\u8a00\u7406\u89e3\u80fd\u529b\uff0c\u65b0\u589e96\u4e2a\u53ef\u5b66\u4e60query token\u548ccross-attention\u5c42 (1B)\uff0c\u5b9e\u73b0\u89c6\u89c9\u548c\u8bed\u8a00\u6a21\u6001\u8fdb\u4e00\u6b65\u5bf9\u9f50\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2312.14238\" target=\"_blank\" rel=\"noreferrer noopener\">[2312.14238] InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks<\/a><br><br>\u4e0b\u56fe\u662fInternVL\u7684\u4e09\u9636\u6bb5\u6e10\u8fdb\u5f0f\u8bad\u7ec3\u7b56\u7565\uff0c\u8bad\u7ec3\u6570\u636e\u8d28\u91cf\u9010\u6e10\u63d0\u9ad8\uff0c\u6700\u5f00\u59cb\u4f7f\u7528\u5927\u89c4\u6a21\u6709\u566a\u7684\u56fe\u6587\u5bf9\u8fdb\u884c\u5bf9\u6bd4\u9884\u8bad\u7ec3 (\u7c7b\u4f3cCLIP)\uff0c\u63a5\u7740\u52a0\u5165\u51bb\u7ed3\u53c2\u6570\u7684QLLaMA\u8fde\u63a5\u4ef6\uff0c\u53ea\u5b66\u4e60cross-attention\uff0c\u4f7f\u7528\u56fe\u6587\u5339\u914d\/\u5bf9\u6bd4\/\u751f\u6210loss (\u7c7b\u4f3cBLIP)\uff0c\u6700\u540e\u5f15\u5165LLM\u8fdb\u884c\u76d1\u7763\u5fae\u8c03\uff0c\u8d4b\u4e88\u591a\u6a21\u6001\u5bf9\u8bdd\u548c\u95ee\u7b54\u80fd\u529b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-dbe9b9c22a0f54852ad05d1b32ad2905_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>InternVL\u8bad\u7ec3\u7684\u591a\u9636\u6bb5\u6027\u8d4b\u4e88\u5176\u5185\u5728\u7684\u591a\u529f\u80fd\u6027\uff0c\u901a\u8fc7\u7075\u6d3b\u7ec4\u5408\u4e0d\u540c\u6a21\u5757\uff0c\u53ef\u4ee5\u652f\u6301\u5404\u79cd\u89c6\u89c9-\u8bed\u8a00\u4efb\u52a1\uff0c\u5982\u4e0b\u56fe\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-59ea024832ebec7e2196fbe7bd1a204d_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u8fd9\u91cc\u503c\u5f97\u8ba8\u8bba\u7684\u4e00\u4e2a\u70b9\u5728\u4e8e\uff0cInternVL\u4e3a\u4e86\u8ba9\u89c6\u89c9\u7aef\u548c\u8bed\u8a00\u7aef\u53c2\u6570\u91cf\u5e73\u8861\uff0c\u5bf9\u89c6\u89c9\u7aef\u548c\u8fde\u63a5\u5c42\u90fd\u8fdb\u884c\u4e86scale up\u3002\u4e00\u4e2a\u5f88\u81ea\u7136\u7684\u95ee\u9898\u662f\uff0c\u89c6\u89c9\u7aef\u771f\u7684\u9700\u8981\u8fd9\u4e48heavy\u7684\u53c2\u6570\u91cf\u5417\uff1f\u56e0\u4e3a\u5f53\u524d\u6700\u65b0\u7684LLaVA-NeXT\u4ecd\u7136\u4f7f\u7528\u7ea6300M\u7684ViT\u548c\u8f7b\u91cf\u7684MLP\u8fde\u63a5\u5c42\uff0c\u4ec5\u901a\u8fc7\u6269\u5c55LLM\u63d0\u5347\u591a\u6a21\u6001\u4efb\u52a1\u6027\u80fd\u3002\u6211\u7684\u4e2a\u4eba\u62d9\u89c1\u662f\uff0c\u89c6\u89c9\u7406\u89e3\u5305\u62ec\u611f\u77e5\u548c\u63a8\u7406\uff0c\u611f\u77e5\u90e8\u5206\u53ef\u80fd\u5e76\u4e0d\u9700\u8981\u90a3\u4e48\u5927\u7684\u53c2\u6570\u91cf\uff0c\u800c\u63a8\u7406\u90e8\u5206\u4f5c\u7528\u4e8ehigh-level\u7684\u89c6\u89c9\u7279\u5f81\uff0c\u901a\u8fc7\u5fae\u8c03LLM\u8d4b\u4e88\u5176\u7406\u89e3\u63a8\u7406\u89c6\u89c9\u6a21\u6001\u7684\u80fd\u529b\uff0c\u6240\u4ee5\u4e3a\u4e86\u6027\u80fd\u3001\u6548\u7387\u548c\u7a33\u5b9a\u6027\u7684\u5e73\u8861\uff0c\u4f3c\u4e4e\u8fd9\u91ccscale up\u5fc5\u8981\u6027\u4e0d\u662f\u5f88\u5f3a\uff0c\u5f53\u7136\u8fd9\u91cc\u503c\u5f97\u6df1\u5165\u5b9e\u9a8c\u7684\u9a8c\u8bc1\u548c\u8ba8\u8bba\u3002\u770b\u5230\u8fd9\u7bc7\u8bba\u6587\u4e2d\u7684\u56fe\uff0c\u8ba9\u6211\u60f3\u5230\u4e8622\u5e74Google\u7684Coca\u8bba\u6587\uff0c\u4f5c\u8005\u628a\u6587\u672c\u89e3\u7801\u5668\u6309\u5c42\u5bf9\u534a\u5212\u5f00\uff0c\u6d45\u5c42\u4e00\u534a\u7528\u4e8e\u6587\u672c\u5355\u6a21\u6001\uff0c\u6df1\u5c42\u4e00\u534a\u7528\u4e8e\u56fe\u6587\u591a\u6a21\u6001\uff0c\u53ef\u4ee5\u770b\u5230\u4e0b\u56fe\u89c6\u89c9\u7aef\u53c2\u6570\u91cf\u5360\u6bd4\u4e5f\u76f8\u5f53\u9ad8\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2205.01917\" target=\"_blank\" rel=\"noreferrer noopener\">[2205.01917] CoCa: Contrastive Captioners are Image-Text Foundation Models<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-745cd2f9540ae29f643e92f3e9107e2f_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h3 id=\"h_706145455_8\">InternVL-1.5<\/h3>\n\n\n\n<p>24\u5e744\u6708\uff0cInternVL-1.5\u53d1\u5e03\uff0c\u7efc\u5408\u6027\u80fd\u66f4\u5f3a\uff0c\u4e14\u652f\u6301\u63a8\u7406\u65f6\u9ad8\u8fbe4K\u7684\u5206\u8fa8\u7387\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2404.16821\" target=\"_blank\" rel=\"noreferrer noopener\">[2404.16821] How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic3.zhimg.com\/80\/v2-8b0e78ee02f82805fe409de1dd879632_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u4e0a\u56fe\u4e3a\u6a21\u578b\u6574\u4f53\u67b6\u6784\uff0c\u91c7\u7528\u4e86\u7c7bLLaVA\u7684ViT+MLP+LLM\u8303\u5f0f\uff0c\u7ed3\u5408\u4e86\u589e\u5f3a\u7684InternViT-6B-448px-V1.5\u548c\u4e2d\u82f1\u53cc\u8bedInternLM2-Chat-20B\uff0c\u603b\u4f53\u53c2\u6570\u7ea626B\u3002\u76f8\u6bd4\u4e8eInternVL-1.0\uff0c\u5728\u8f93\u5165\u7aef\u652f\u6301\u4e86\u52a8\u6001\u9ad8\u5206\u8fa8\u7387\uff0c\u8fde\u63a5\u5c42\u6539\u4e3a\u8f7b\u91cf\u7684MLP\uff0c\u4f7f\u7528pixel shuffle\u64cd\u4f5c\u5c06\u8f93\u51fa\u7684\u89c6\u89c9token\u6570\u51cf\u4e3a1\/4\u3002\u8bad\u7ec3\u5206\u4e3a\u4e24\u9636\u6bb5\uff0c\u9884\u8bad\u7ec3\u9636\u6bb5\u8bad\u7ec3InternViT\u548cMLP\u6620\u5c04\uff0c\u968f\u540e\u5fae\u8c03\u6574\u4e2a\u6a21\u578b\u3002<\/p>\n\n\n\n<ul><li>\u8fd9\u91cc\u4e0d\u518d\u4f7f\u7528Q-Former\u4f5c\u4e3a\u8fde\u63a5\u5c42\u7684\u539f\u56e0\uff0c\u53ef\u4ee5\u53c2\u8003\u4f5c\u8005&nbsp;<a target=\"_blank\" href=\"https:\/\/www.zhihu.com\/people\/a760ef66079376468e2685723c318ee8\" rel=\"noreferrer noopener\">@Weiyun<\/a>&nbsp;\u5927\u4f6c\u7684\u56de\u7b54\uff1a<a href=\"https:\/\/www.zhihu.com\/question\/626796690\/answer\/3524920516\">\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff08MLLM\uff09\u4e3a\u4ec0\u4e48\u6700\u8fd1\u7684\u5de5\u4f5c\u4e2d\u7528BLIP2\u4e2dQ-Former\u7ed3\u6784\u7684\u53d8\u5c11\u4e86\uff1f &#8211; Weiyun\u7684\u56de\u7b54 &#8211; \u77e5\u4e4e<\/a>\uff0c\u5927\u81f4\u610f\u601d\u662f\u8bf4\u76f8\u6bd4\u4e8eMLP\uff0cQ-Former\u53c2\u6570\u91cf\u5927\u6536\u655b\u66f4\u6162\uff0c\u6570\u636e\u91cf\u5c0f\u7684\u573a\u666f\u65e0\u6cd5\u8fbe\u5230LLaVA-1.5\u8fd9\u6837\u7684\u6027\u80fd\uff0c\u800c\u4e14\u63d0\u9ad8\u6570\u636e\u91cf\u548c\u8ba1\u7b97\u91cf\uff0cQ-Former\u4e5f\u6ca1\u6709\u660e\u663e\u7684\u6027\u80fd\u4f18\u52bf\u3002<\/li><li>\u8fd9\u91cc\u7684pixel shuffle\u64cd\u4f5c\u6765\u6e90\u4e8e<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/1609.05158\" target=\"_blank\" rel=\"noreferrer noopener\">16\u5e74\u7684\u4e00\u7bc7\u8bba\u6587<\/a>\uff0c\u672c\u8d28\u662f\u5bf9\u7279\u5f81\u5143\u7d20\u8fdb\u884c\u91cd\u6392\u5217\uff0c\u5c06&nbsp;(\ud835\udc36\u00d7\ud835\udc5f2,\ud835\udc3b,\ud835\udc4a)&nbsp;\u7684\u7279\u5f81\u53d8\u6362\u4e3a&nbsp;(\ud835\udc36,\ud835\udc3b\u00d7\ud835\udc5f,\ud835\udc4a\u00d7\ud835\udc5f)&nbsp;\uff0c\u5bf9\u7279\u5f81\u8fdb\u884c\u4e86\u7a7a\u95f4\u7ef4\u5ea6\u7684\u4e0a\u91c7\u6837\uff0c\u4f46\u901a\u9053\u7ef4\u5ea6\u7f29\u5c0f\u4e3a\u539f\u6765\u7684&nbsp;1\/\ud835\udc5f2&nbsp;\u3002\u8fd9\u91cc\u8f93\u51fa\u7684\u89c6\u89c9token\u6570\u53ef\u4ee5\u7406\u89e3\u4e3a\u901a\u9053\u6570\uff0c\u4e3b\u8981\u76ee\u7684\u662f\u901a\u8fc7\u63d0\u5347\u7279\u5f81\u7ef4\u5ea6\u6362\u53d6\u66f4\u5c11\u7684token\u6570\uff0c\u4ece\u800c\u53ef\u4ee5\u652f\u6301\u66f4\u9ad8\u7684\u56fe\u50cf\u5206\u8fa8\u7387\u3002\u8fd9\u6837\uff0c448&#215;448\u7684\u8f93\u5165\u56fe\u50cf\uff0cpatch size=14\uff0c\u603b\u5171\u670932&#215;32=1024\u4e2atoken\uff0c\u8bbe\u7f6e\u4e0a\u91c7\u6837\u7cfb\u6570r=2\uff0c\u5219\u8be5\u56fe\u50cf\u53ef\u4ee5\u8868\u793a\u4e3a256\u4e2atoken\u3002<\/li><\/ul>\n\n\n\n<p>\u63a5\u7740\u6211\u4eec\u6765\u770bInternVL-1.5\u7684\u4e09\u4e2a\u91cd\u8981\u6539\u8fdb\uff1a<\/p>\n\n\n\n<ul><li><strong>InternViT\u589e\u5f3a<\/strong>\uff1aV1.2\u7248\u672c\u53bb\u6389\u4e86\u6a21\u578b\u7684\u6700\u540e3\u5c42\uff0c\u5c06\u5206\u8fa8\u7387\u6269\u5c55\u4e3a\u56fa\u5b9a448&#215;448\uff0c\u800cV1.5\u8fdb\u4e00\u6b65\u6269\u5c55\u4e3a\u52a8\u6001448&#215;448\uff0c\u5373\u6bcf\u5f20\u8bad\u7ec3\u56fe\u50cf\u53ef\u5206\u5757\uff0c\u6bcf\u5757\u5927\u5c0f\u4e3a448&#215;448\uff0c\u652f\u63011~12\u4e2a\u5757\u3002\u6b64\u5916\uff0c\u8fd8\u589e\u5f3a\u4e86\u6570\u636e\u89c4\u6a21\u3001\u8d28\u91cf\u548c\u591a\u6837\u6027\uff0c\u63d0\u9ad8\u4e86OCR\u548c\u9ad8\u5206\u8fa8\u7387\u5904\u7406\u80fd\u529b\u3002<\/li><li><strong>\u52a8\u6001\u9ad8\u5206\u8fa8\u7387<\/strong>\uff1a\u57fa\u4e8e\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u548c\u7eb5\u6a2a\u6bd4\uff0c\u5c06\u56fe\u50cf\u5207\u5206\u4e3a448&#215;448\u7684\u5206\u5757\uff0c\u8bad\u7ec3\u9636\u6bb5\u6700\u591a12\u5757\uff0c\u6d4b\u8bd5\u9636\u6bb5\u53ef\u4ee5\u5916\u63a8\u523040\u5757\uff0c\u53734K\u5206\u8fa8\u7387\uff0c\u8fd9\u6837\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u80fd\u9002\u5e94\u591a\u79cd\u5206\u8fa8\u7387\u548c\u7eb5\u6a2a\u6bd4\uff0c\u907f\u514d\u4e86\u5f3a\u884cresize\u5e26\u6765\u7684\u5931\u771f\u548c\u7ec6\u8282\u4e22\u5931\u3002\u5982\u4e0b\u56fe\uff0c\u5177\u4f53\u6765\u8bf4\uff0c\u5bf9\u4e8e\u4e00\u5f20800&#215;1300\u7684\u56fe\u50cf\uff0c\u4ece\u9884\u5b9a\u4e49\u7684\u7eb5\u6a2a\u6bd4\u4e2d\u5339\u914d\u4e00\u4e2a\u6700\u63a5\u8fd1\u7684\u7eb5\u6a2a\u6bd42:3\uff0c\u7136\u540e\u5c06\u56fe\u50cfresize\u5230896&#215;1344\uff0c\u5e76\u5207\u5206\u4e3a\u591a\u4e2a448&#215;448\u7684\u56fe\u50cf\u5757\uff0c\u518d\u6dfb\u52a0\u4e00\u4e2a\u7f29\u7565\u89c6\u56fe (\u76f4\u63a5resize\u5230448&#215;448) \u7528\u4e8e\u56fe\u50cf\u5168\u5c40\u7406\u89e3\u3002<\/li><li><strong>\u9ad8\u8d28\u91cf\u4e2d\u82f1\u53cc\u8bed\u6570\u636e\u96c6<\/strong>\uff1a\u5305\u542b\u81ea\u7136\u573a\u666f\u3001\u56fe\u8868\u3001\u6587\u6863\u3001\u5bf9\u8bdd\u7b49\u591a\u6837\u5316\u7684\u6570\u636e\uff0c\u501f\u52a9LLM\u5b9e\u73b0\u6570\u636e\u96c6\u82f1\u6587\u5230\u4e2d\u6587\u7684\u8f6c\u6362\u3002<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-32c4d73af4c907b7a4dcae549f3c3895_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u6b64\u5916\uff0c\u7ffb\u8bd1\u7684prompt\u503c\u5f97\u6211\u4eec\u5b66\u4e60\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>System:\nYou are a translator proficient in English and {language}. Your task is to translate the following English text into {language}, focusing on a natural and fluent result that avoids \u201ctranslationese.\u201d Please consider these points:\n1. Keep proper nouns, brands, and geographical names in English.\n2. Retain technical terms or jargon in English, but feel free to explain in {language} if necessary.\n3. Use {language} idiomatic expressions for English idioms or proverbs to ensure cultural relevance.\n4. Ensure quotes or direct speech sound natural in {language}, maintaining the original\u2019s tone.\n5. For acronyms, provide the full form in {language} with the English acronym in parentheses.\nUser:\nText for translation: {text}\nAssistant:\n{translation results}<\/code><\/pre>\n\n\n\n<p>\u4f5c\u8005\u5728ablation study\u90e8\u5206\u7814\u7a76\u4e86\u66f4\u5927\u7684LLM\u662f\u5426\u9700\u8981\u66f4\u5927\u7684\u89c6\u89c9\u7f16\u7801\u5668\uff0c\u5b9e\u9645\u4e0a\u662f\u9488\u5bf9\u6211\u4eec\u4e0a\u9762\u5bf9InternVL-1.0\u89c6\u89c9\u7aef\u53c2\u6570\u91cf\u7684\u95ee\u9898\u7684\u5b9e\u9a8c\u3002\u5b9e\u9a8c\u5bf9\u6bd4\u4e86LLaVA-NeXT\u548cInternVL-1.2\uff0c\u4e24\u8005\u90fd\u4f7f\u752834B\u7684LLM\uff0c\u5728\u5c3d\u91cf\u4fdd\u8bc1\u5bf9\u6bd4\u516c\u5e73\u7684\u6761\u4ef6\u4e0b\uff0c\u5b9e\u9a8c\u8bc1\u660e\u66f4\u5927\u7684\u89c6\u89c9\u6a21\u578b\u80fd\u63d0\u4f9b\u6a21\u578b\u89e3\u51b3\u591a\u6a21\u6001\u4efb\u52a1\u7684\u6574\u4f53\u6027\u80fd\uff08\u4e0d\u8fc7\u539f\u8bba\u6587\u597d\u50cf\u6ca1\u6709\u7ed9\u5177\u4f53\u6570\u636e\uff1f\uff09\u3002\u56e2\u961f\u540e\u7eed\u4e5f\u53d1\u5e03\u4e86\u84b8\u998f\u7248\u7684\u89c6\u89c9\u6a21\u578b<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/huggingface.co\/OpenGVLab\/InternViT-300M-448px\" target=\"_blank\" rel=\"noreferrer noopener\">InternViT-300M-448px<\/a>\uff0c\u4e0eLLaVA-NeXT\u7684\u89c6\u89c9\u7aef\u4fdd\u6301\u4e86\u540c\u7b49\u89c4\u6a21\u3002<\/p>\n\n\n\n<h2 id=\"h_706145455_9\"><strong>MiniCPM-V\u7cfb\u5217<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenBMB\/MiniCPM-V\" target=\"_blank\" rel=\"noreferrer noopener\">MiniCPM-V<\/a>\u662f&nbsp;<a target=\"_blank\" href=\"https:\/\/www.zhihu.com\/people\/3a3a76e5aad5af8b79491c17047c529e\" rel=\"noreferrer noopener\">@\u9762\u58c1\u667a\u80fd<\/a>&nbsp;\u53d1\u5e03\u7684\u4e00\u7cfb\u5217\u652f\u6301\u9ad8\u6548\u7aef\u4fa7\u90e8\u7f72\u7684\u591a\u6a21\u6001LLM\u3002<\/p>\n\n\n\n<h3 id=\"h_706145455_10\"><strong>MiniCPM-V 2.0<\/strong><\/h3>\n\n\n\n<p>24\u5e744\u6708\uff0cMiniCPM-V 2.0\u53d1\u5e03\uff0c\u4ec5\u67092.8B\u53c2\u6570\uff0c\u6574\u4f53\u6027\u80fd\u8d85\u8fc7\u4e86Yi-VL 34B\u3001CogVLM-Chat 17B\u3001Qwen-VL-Chat 10B\u7b49\u66f4\u5927\u7684\u5f00\u6e90\u6a21\u578b\uff0cOCR\u80fd\u529b\u7a81\u51fa\uff0c\u652f\u6301\u4e2d\u82f1\u53cc\u8bed\u5bf9\u8bdd\uff0c\u90e8\u5206\u6307\u6807\u63a5\u8fd1Gemini Pro\u3002<br>\u89c6\u89c9\u7f16\u7801\u5668\u4f7f\u7528<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/huggingface.co\/google\/siglip-so400m-patch14-384\" target=\"_blank\" rel=\"noreferrer noopener\">SigLIP SO400M\/14-384px<\/a>\uff0cLLM\u4f7f\u7528<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenBMB\/MiniCPM\" target=\"_blank\" rel=\"noreferrer noopener\">MiniCPM-2.4B<\/a>\uff0c\u8fde\u63a5\u5c42\u4f7f\u7528<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2204.14198\" target=\"_blank\" rel=\"noreferrer noopener\">Flamingo<\/a>\u4e2d\u7684Perceiver Resampler (\u7c7b\u4f3cQ-Former\u4f7f\u7528\u53ef\u5b66\u4e60query\u63d0\u53d6\u663e\u8457\u89c6\u89c9\u4fe1\u606f\uff0c\u4f46\u4e0d\u4ee5\u8f93\u5165\u6587\u672c\u4e3a\u6761\u4ef6)\u3002\u57fa\u4e8e\u81ea\u7814\u7684<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2312.00849\" target=\"_blank\" rel=\"noreferrer noopener\">RLHF-V<\/a>\u5b9e\u73b0\u53ef\u4fe1\u884c\u4e3a\u5bf9\u9f50\uff0c\u5728\u7f13\u89e3\u591a\u6a21\u6001\u5e7b\u89c9\u95ee\u9898\u4e0a\u63a5\u8fd1GPT-4V\u3002\u57fa\u4e8e\u81ea\u7814\u7684<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2403.11703\" target=\"_blank\" rel=\"noreferrer noopener\">LLaVA-UHD<\/a>\u652f\u6301\u9ad8\u8fbe1344&#215;1344\u7684\u5206\u8fa8\u7387\u548c\u4efb\u610f\u7eb5\u6a2a\u6bd4\u8f93\u5165\u3002\u57fa\u4e8e\u81ea\u7814\u7684<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2308.12038\" target=\"_blank\" rel=\"noreferrer noopener\">VisCPM<\/a>\u5b9e\u73b0\u8de8\u8bed\u8a00\u7684\u591a\u6a21\u6001\u80fd\u529b\u6cdb\u5316\uff0c\u8fdb\u800c\u6709\u826f\u597d\u7684\u4e2d\u82f1\u53cc\u8bed\u80fd\u529b\u3002\u6b64\u5916\uff0c\u8be5\u6a21\u578b\u5728\u7aef\u4fa7\u90e8\u7f72\u5185\u5b58\u5f00\u9500\u8f83\u5c0f\u3001\u901f\u5ea6\u8f83\u5feb\uff0c\u5373\u4fbf\u662f\u5904\u7406\u9ad8\u5206\u8fa8\u7387\u7684\u56fe\u50cf\u3002\u5b98\u65b9\u8fd8\u63d0\u4f9b\u4e86\u5b89\u5353\u7aef\u90e8\u7f72\u7684<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/OpenBMB\/mlc-MiniCPM\" target=\"_blank\" rel=\"noreferrer noopener\">mlc-MiniCPM<\/a>\u793a\u4f8b\u3002<\/p>\n\n\n\n<h3 id=\"h_706145455_11\"><strong>MiniCPM-Llama3-V 2.5<\/strong><\/h3>\n\n\n\n<p>24\u5e745\u6708\uff0cMiniCPM-Llama3-V 2.5\u53d1\u5e03\uff0c\u603b\u51718B\u53c2\u6570\uff0c\u6574\u4f53\u6027\u80fd\u8d85\u8fc7\u4e86GPT-4V-1106\u3001Gemini Pro\u3001Qwen-VL-Max\u3001Claude 3\u7b49\u95ed\u6e90\u6a21\u578b\uff0cOCR\u548c\u6307\u4ee4\u9075\u5faa\u80fd\u529b\u8fdb\u4e00\u6b65\u589e\u5f3a (\u589e\u5f3a\u4e86\u5168\u6587\u672cOCR\u63d0\u53d6\u3001\u8868\u683c\u5230Markdown\u8f6c\u6362\u7b49\u529f\u80fd)\uff0c\u652f\u6301\u8d85\u8fc730\u79cd\u8bed\u8a00\u5bf9\u8bdd\uff0c\u5728\u91cf\u5316\u3001\u7f16\u8bd1\u4f18\u5316\u3001\u9ad8\u6548\u63a8\u7406\u7b49\u52a0\u6301\u4e0b\uff0c\u540c\u6837\u53ef\u4ee5\u5728\u7aef\u4fa7\u9ad8\u6548\u90e8\u7f72\u3002<br>\u5728MiniCPM-V 2.0\u57fa\u7840\u4e0a\uff0cLLM\u66ff\u6362\u4e3aLlama3-8B-Instruct\uff0c\u57fa\u4e8e\u66f4\u65b0\u7684<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2405.17220\" target=\"_blank\" rel=\"noreferrer noopener\">RLAIF-V<\/a>\u8fdb\u4e00\u6b65\u964d\u4f4e\u5e7b\u89c9\u7387\u3002\u5f53\u524d\uff0c\u5b98\u65b9\u652f\u6301\u4e86llama.cpp\u548collama\u7684\u9ad8\u6548CPU\u63a8\u7406\u3001GGUF 16-bit\u91cf\u5316\u3001LoRA\u5fae\u8c03\u7b49\u5b9e\u7528\u529f\u80fd\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-871c62a743a63f2a7857eff7dddfdee7_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h2 id=\"h_706145455_12\"><strong>VILA1.5<\/strong><\/h2>\n\n\n\n<p>24\u5e745\u6708\uff0cNVIDIA\u53d1\u5e03<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/NVlabs\/VILA\" target=\"_blank\" rel=\"noreferrer noopener\">VILA1.5<\/a>\uff0c\u63d0\u4f9b\u89c6\u9891\u7406\u89e3\u80fd\u529b\uff0c\u5f00\u6e90\u4e863B\/8B\/13B\/40B\u7684\u6a21\u578b\uff0c\u4f4d\u4e8e\u5f53\u524d\u5f00\u6e90\u699c\u5355MMMU\u548cVideo-MME\u524d\u5217\u3002VILA\u8be6\u89c1\u6211\u7684\u4e0a\u7bc7\u6587\u7ae0\uff0c\u8fd9\u91cc\u7b80\u5355\u56de\u987e\u4e00\u4e0b\uff1aVILA\u5728\u5927\u89c4\u6a21\u4ea4\u9519\u56fe\u6587\u6570\u636e\u4e0a\u9884\u8bad\u7ec3\uff0c\u4ece\u800c\u5177\u6709\u591a\u56fe\u7406\u89e3\u80fd\u529b\uff0c\u4f5c\u8005\u901a\u8fc7\u5b9e\u9a8c\u53d1\u73b0\uff1a(1) \u56fe\u6587\u4ea4\u9519\u6392\u5e03\u6bd4\u8f83\u5173\u952e\uff1b(2) \u4ea4\u9519\u56fe\u6587\u9884\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5fae\u8c03LLM\u80fd\u8d4b\u4e88\u5176\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u80fd\u529b\uff1b(3) \u6df7\u5408\u53ea\u6709\u6587\u672c\u7684\u6307\u4ee4\u6570\u636e\u6709\u52a9\u4e8e\u63d0\u5347\u6027\u80fd\uff1b(4) \u538b\u7f29\u89c6\u89c9token\u53ef\u4ee5\u6269\u5c55\u89c6\u9891\u5e27\u6570\u3002<\/p>\n\n\n\n<h2 id=\"h_706145455_13\"><strong>CogVLM2<\/strong><\/h2>\n\n\n\n<p>24\u5e745\u6708\uff0c\u667a\u8c31&nbsp;<a target=\"_blank\" href=\"https:\/\/www.zhihu.com\/people\/f5eb40ad7b1d6fffd4eb8cf21654389b\" rel=\"noreferrer noopener\">@GLM\u5927\u6a21\u578b<\/a>&nbsp;\u53d1\u5e03<a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/github.com\/THUDM\/CogVLM2\" target=\"_blank\" rel=\"noreferrer noopener\">CogVLM2<\/a>\uff0c\u968f\u540e\u53d1\u5e03\u4e86GLM-4V\u3002CogVLM2\u57fa\u4e8eLlama3-8B-Instruct\uff0c\u652f\u63018K\u4e0a\u4e0b\u6587\u30011344&#215;1344\u5206\u8fa8\u7387\u3001\u4e2d\u82f1\u53cc\u8bed\u5bf9\u8bdd\u3002GLM-4V-9B\u66ff\u6362\u4e3aGLM-4-9B\u8bed\u8a00\u6a21\u578b\uff0c\u91c7\u53d6\u540c\u6837\u7684\u6570\u636e\u548c\u8bad\u7ec3\u7b56\u7565\uff0c\u53bb\u9664CogVLM\u539f\u6709\u7684\u89c6\u89c9\u4e13\u5bb6\uff0c\u5c06\u6a21\u578b\u5927\u5c0f\u51cf\u4e3a13B\u3002CogVLM\u548cCogAgent\u8be6\u89c1\u6211\u7684\u4e0a\u7bc7\u6587\u7ae0\u3002<\/p>\n\n\n\n<h2 id=\"h_706145455_14\"><strong>Cambrian-1<\/strong><\/h2>\n\n\n\n<p>24\u5e746\u6708\uff0cLeCun&amp;\u8c22\u8d5b\u5b81\u56e2\u961f\u53d1\u5e03Cambrian-1\uff0c\u5173\u6ce8\u4ee5\u89c6\u89c9\u4e3a\u4e2d\u5fc3\u7684\u591a\u6a21\u6001LLM\uff0c\u5f00\u6e90\u4e868B\/13B\/34B\u7684\u6a21\u578b\u3002\u5f53\u524d\u591a\u6a21\u6001LLM\u4ecd\u5b58\u5728\u8f83\u5927\u7684\u89c6\u89c9\u7f3a\u9677\uff0c\u9700\u8981\u589e\u5f3a\u89c6\u89c9\u8868\u5f81\u4ee5\u66f4\u597d\u5730\u548c\u8bed\u8a00\u6a21\u6001\u4ea4\u4e92\uff0c\u8d4b\u4e88\u6a21\u578b\u5728\u771f\u5b9e\u573a\u666f\u66f4\u5f3a\u7684\u611f\u77e5\u5b9a\u4f4d\u80fd\u529b\u3002\u8fd9\u9879\u7814\u7a76\u7684\u4e00\u5927\u610f\u4e49\u5728\u4e8e\u5f71\u54cd\u591a\u6a21\u6001LLM\u7684\u5de5\u4f5c\u5f00\u59cb\u91cd\u89c6\u89c6\u89c9\u8868\u5f81\u8d28\u91cf\u7684\u63d0\u5347\uff0c\u800c\u975e\u4e00\u76f4scale up LLM\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/arxiv.org\/abs\/2406.16860\" target=\"_blank\" rel=\"noreferrer noopener\">[2406.16860] Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic4.zhimg.com\/80\/v2-6d3b85f75dc201825d461b2102e704b7_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u5982\u4e0a\u56fe\uff0c\u8be5\u5de5\u4f5c\u56f4\u7ed5\u591a\u6a21\u6001LLM\u76845\u4e2a\u6838\u5fc3\u8bbe\u8ba1\u8981\u7d20\u5c55\u5f00\u7814\u7a76\uff0c\u5206\u522b\u662f\uff1a\u89c6\u89c9\u8868\u5f81\u3001\u8fde\u63a5\u5668\u8bbe\u8ba1\u3001\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u3001\u6307\u4ee4\u5fae\u8c03\u7b56\u7565\u3001\u8bc4\u4f30\u57fa\u51c6\u3002<\/p>\n\n\n\n<ol><li>\u89c6\u89c9\u8868\u5f81<\/li><\/ol>\n\n\n\n<p>\u4f5c\u8005\u8bc4\u4f30\u4e86\u591a\u79cd\u89c6\u89c9\u7f16\u7801\u5668\u53ca\u5176\u7ec4\u5408\uff0c\u4e0b\u56fe\u8868\u660e\u4ee5\u8bed\u8a00\u76d1\u7763\u7684CLIP\u6a21\u578b\u4f18\u52bf\u8f83\u5f3a\uff0c\u4f46\u81ea\u76d1\u7763\u65b9\u6cd5\u5728\u63d0\u4f9b\u5145\u8db3\u6570\u636e\u548c\u9002\u5f53\u5fae\u8c03\u7684\u60c5\u51b5\u4e0b\u6027\u80fd\u4e5f\u80fd\u63a5\u8fd1\u3002\u800c\u4e14\uff0c\u7ed3\u5408\u591a\u79cd\u7c7b\u578b\u7684\u89c6\u89c9\u7f16\u7801\u5668\u6709\u52a9\u4e8e\u63d0\u5347\u591a\u6a21\u6001LLM\u7684\u6027\u80fd\uff0c\u5c24\u5176\u662f\u4ee5\u89c6\u89c9\u4e3a\u4e2d\u5fc3\u7684\u4efb\u52a1\u3002\u6ce8\u610f\u5230\uff0c\u9ad8\u5206\u8fa8\u7387\u7684\u7f16\u7801\u5668\u5927\u5927\u589e\u5f3a\u4e86\u56fe\u8868\u548c\u4ee5\u89c6\u89c9\u4e3a\u4e2d\u5fc3\u4efb\u52a1\u7684\u6027\u80fd\uff0c\u800c\u57fa\u4e8eConvNet\u7684\u67b6\u6784\u9002\u5408\u5904\u7406\u8fd9\u7c7b\u4efb\u52a1\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic1.zhimg.com\/80\/v2-670cf5761a0f8832e5f040bc275b237c_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>2. \u8fde\u63a5\u5668\u8bbe\u8ba1<\/p>\n\n\n\n<p>\u63d0\u51faSpatial Vision Aggregator (SVA)\uff0c\u4e00\u4e2a\u52a8\u6001\u7684\u3001\u5177\u5907\u7a7a\u95f4\u611f\u77e5\u7684\u8fde\u63a5\u5668\uff0c\u4ee5\u5c06 (\u6765\u81ea\u591a\u4e2a\u89c6\u89c9\u7f16\u7801\u5668\u7684) \u89c6\u89c9\u7279\u5f81\u4e0eLLM\u6df1\u5ea6\u878d\u5408\u3002\u5982\u4e0b\u56fe\uff0c\u8be5\u65b9\u6cd5\u8bbe\u7f6e\u4e00\u4e9b\u53ef\u5b66\u4e60\u7684latent query tokens\uff0c\u901a\u8fc7cross-attention\u4e0e\u591a\u4e2a\u89c6\u89c9\u7279\u5f81\u4ea4\u4e92 (\u89c6\u89c9\u7279\u5f81\u4f5c\u4e3akey\/value)\u3002SVA\u7684\u8bbe\u8ba1\u6709\u4e24\u70b9\u8981\u7d20\uff1a(1) \u901a\u8fc7\u663e\u5f0f\u5b9a\u4e49\u6bcf\u4e2aquery token\u5bf9\u5e94\u7684\u89c6\u89c9\u7279\u5f81\u56fe\u5b50\u533a\u57df\uff0c\u5f15\u5165\u7a7a\u95f4inductive bias\uff0c\u4fbf\u4e8e\u6a21\u578b\u5728\u5904\u7406\u89c6\u89c9\u4fe1\u606f\u65f6\u4fdd\u7559\u5bf9\u7a7a\u95f4\u7ed3\u6784\u7684\u7406\u89e3\uff0c\u66f4\u51c6\u786e\u5730\u5b9a\u4f4d\u548c\u6574\u5408\u5c40\u90e8\u7279\u5f81\uff1b(2) \u5728LLM\u7684\u591a\u5c42\u805a\u5408\u89c6\u89c9\u7279\u5f81\uff0c\u8ba9\u6a21\u578b\u5728\u4e0d\u540c\u5c42\u7ea7\u7279\u5f81\u4e0a\u53cd\u590d\u5229\u7528\u89c6\u89c9\u4fe1\u606f\uff0c\u589e\u5f3a\u6a21\u578b\u5bf9\u89c6\u89c9\u5185\u5bb9\u7684\u6df1\u5165\u63a8\u7406\u80fd\u529b\u3002\u8be5\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u51cf\u5c11\u9700\u8981\u7684\u89c6\u89c9token\u6570\uff0c\u4f8b\u5982\u76f8\u6bd4\u4e8eMini-Gemini\u548cLLaVA-NeXT\uff0cCambrian-1\u7684\u89c6\u89c9token\u6570\u662f\u517620%\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/pic2.zhimg.com\/80\/v2-20d290260aba984c5e5d91bd6540e8c1_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>3. 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