{"id":1076148,"date":"2024-03-21T14:23:00","date_gmt":"2024-03-21T21:23:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=1076148"},"modified":"2024-09-25T04:15:44","modified_gmt":"2024-09-25T11:15:44","slug":"new-arrival-in-research-9","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/new-arrival-in-research-9\/","title":{"rendered":"\u9ad8\u6027\u80fd\u8ba1\u7b97\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7ed3\u5408\uff1b\u63d0\u5347\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u53ef\u9760\u6027\uff1b\u57fa\u4e8e\u5fc3\u7406\u6d4b\u91cf\u5b66\u7684\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\uff1b\u6a21\u4eff\u4eba\u8111\u601d\u7ef4\u6a21\u5f0f\u7684\u89c6\u89c9\u8bed\u8a00\u89c4\u5212\u6846\u67b6"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u6b22\u8fce\u9605\u8bfb\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u680f\u76ee\uff01\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u6c47\u805a\u4e86\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u6700\u65b0\u7684\u521b\u65b0\u6210\u679c\u4e0e\u79d1\u7814\u52a8\u6001\u3002\u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u6d4f\u89c8\u7814\u7a76\u9662\u7684\u4eae\u70b9\u8d44\u8baf\uff0c\u4fdd\u6301\u5bf9\u524d\u6cbf\u9886\u57df\u7684\u654f\u9510\u55c5\u89c9\uff0c\u540c\u65f6\u4e5f\u80fd\u627e\u5230\u5148\u8fdb\u5b9e\u7528\u7684\u5f00\u6e90\u5de5\u5177\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research1\">ConvStencil\uff1a\u7a81\u7834\u9ad8\u6027\u80fd\u8ba1\u7b97\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u201c\u8f6f\u786c\u201d\u8fb9\u754c<\/h3>\n\n\n\n<p><em>\u672c\u6587\u8363\u83b7 PPoPP 2024 \u552f\u4e00\u6700\u4f73\u8bba\u6587\u5956<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"690\" height=\"395\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-1.jpg\" alt=\"ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores\" class=\"wp-image-1076154\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-1.jpg 690w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-1-300x172.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-1-240x137.jpg 240w\" sizes=\"auto, (max-width: 690px) 100vw, 690px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3627535.3638476\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/dl.acm.org\/doi\/10.1145\/3627535.3638476<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u9879\u76ee\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/ConvStencil\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/github.com\/microsoft\/ConvStencil<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u77e9\u9635\u4e58\u6cd5\uff08MM\uff09\u626e\u6f14\u7740\u6838\u5fc3\u89d2\u8272\uff0c\u76ee\u524d\uff0c\u5f88\u591a\u5148\u8fdb\u7684\u5904\u7406\u5668\u4e2d\u90fd\u589e\u52a0\u4e86\u4e13\u7528\u5355\u5143\u6765\u8fdb\u884c\u8ba1\u7b97\u52a0\u901f\u3002\u76f8\u6bd4\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e2d\u76f8\u5bf9\u6807\u51c6\u5316\u7684\u77e9\u9635\u4e58\u6cd5\u64cd\u4f5c\uff0c\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u4e2d\u7684\u8ba1\u7b97\u6a21\u5f0f\u66f4\u52a0\u590d\u6742\u591a\u6837\u3002\u957f\u671f\u4ee5\u6765\uff0c\u9ad8\u6027\u80fd\u8ba1\u7b97\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u7814\u7a76\u5728\u201c\u8f6f\u201d\uff08\u7b97\u6cd5\uff09\u201c\u786c\u201d\uff08\u786c\u4ef6\uff09\u4e24\u65b9\u9762\u9010\u6e10\u5206\u9053\u626c\u9573\uff0c\u5404\u81ea\u4e13\u6ce8\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u9886\u57df\u3002\u4ee5\u9ad8\u6027\u80fd\u8ba1\u7b97\u9886\u57df\u7684\u91cd\u8981\u7b97\u5b50 stencil \u8ba1\u7b97\u4e3a\u4f8b\uff0c\u5e38\u89c1\u7684 stencil \u8ba1\u7b97\u91c7\u7528\u9884\u5b9a\u4e49\u7684\u8ba1\u7b97\u6a21\u5f0f\uff0c\u4e0d\u65ad\u5730\u5728\u65f6\u95f4\u7ef4\u5ea6\u4e0a\u901a\u8fc7\u8ba1\u7b97\u5176\u4e0e\u76f8\u90bb\u70b9\u7684\u52a0\u6743\u6765\u66f4\u65b0\u6bcf\u4e2a\u6570\u636e\u70b9\u3002\u8fd9\u79cd\u8ba1\u7b97\u65b9\u5f0f\u4f7f\u5f97 stencil \u8ba1\u7b97\u96be\u4ee5\u76f4\u63a5\u8f6c\u5316\u4e3a\u77e9\u9635\u4e58\u6cd5\uff0c\u56e0\u6b64\u65e0\u6cd5\u5145\u5206\u5229\u7528\u56e0\u6df1\u5ea6\u5b66\u4e60\u800c\u4e0d\u65ad\u6d8c\u73b0\u7684\u77e9\u9635\u4e58\u6cd5\u52a0\u901f\u786c\u4ef6\u3002<\/p>\n\n\n\n<p>\u9488\u5bf9\u6b64\u95ee\u9898\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684 stencil \u8ba1\u7b97\u7cfb\u7edf ConvStencil\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5c06 stencil \u8ba1\u7b97\u8f6c\u6362\u4e3a\u5728\u5f20\u91cf\u6838\u5fc3\u5355\u5143\uff08TCU\uff09\u4e0a\u7684\u77e9\u9635\u4e58\u6cd5\uff0c\u8ba9\u4f20\u7edf\u9ad8\u6027\u80fd\u8ba1\u7b97\u80fd\u591f\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u786c\u4ef6\u8fdb\u884c\u52a0\u901f\u3002ConvStencil \u7684\u8bbe\u8ba1\u57fa\u4e8e\u4e00\u4e2a\u5173\u952e\u7684\u53d1\u73b0\uff1a\u5728\u9ad8\u6027\u80fd\u8ba1\u7b97\u4e2d\u7684 stencil \u8ba1\u7b97\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u7684\u5377\u79ef\uff0c\u5728\u8ba1\u7b97\u6a21\u5f0f\u4e0a\u5b58\u5728\u9ad8\u5ea6\u7684\u76f8\u4f3c\u6027\u3002\u4f46\u662f\uff0c\u5982\u679c\u53ea\u662f\u7b80\u5355\u5730\u5229\u7528 im2row \u65b9\u6cd5\u5c06 stencil \u4e0e\u5377\u79ef\u7b97\u6cd5\u76f8\u7ed3\u5408\uff0c\u4f1a\u56e0 stencil \u4e0e\u5377\u79ef\u5728\u8ba1\u7b97\u7ec6\u8282\u4e0a\u5b58\u5728\u5173\u952e\u5dee\u5f02\uff0c\u800c\u96be\u4ee5\u4f7f stencil \u8ba1\u7b97\u9ad8\u6548\u5229\u7528\u5f20\u91cf\u6838\u5fc3\u5355\u5143\u3002\u8fd9\u5176\u4e2d\u9700\u8981\u514b\u670d\u4e09\u4e2a\u5173\u952e\u7684\u6280\u672f\u6311\u6218\uff1a<\/p>\n\n\n\n<p>\u9996\u5148\uff0c\u76f4\u63a5\u5c06 im2row \u65b9\u6cd5\u5e94\u7528\u4e8e stencil \u8ba1\u7b97\u4f1a\u5bfc\u81f4\u5185\u5b58\u9700\u6c42\u5927\u5e45\u589e\u52a0\uff0c\u5e76\u4e14\u5f20\u91cf\u6838\u5fc3\u5355\u5143\u7684\u5229\u7528\u7387\u8f83\u4f4e\u3002\u5176\u6b21\uff0c\u7b97\u6cd5\u9700\u8981\u7b26\u5408\u786c\u4ef6\u7684\u9650\u5236\u3002\u6b64\u5916\uff0c\u5728\u7b97\u6cd5\u7684\u5b9e\u73b0\u548c\u8bbe\u8ba1\u8fc7\u7a0b\u4e2d\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7b97\u6cd5\u5b9e\u73b0\u4e0e\u786c\u4ef6\u4e4b\u95f4\u7684\u51b2\u7a81\uff0c\u4f8b\u5982\u7ebf\u7a0b\u5206\u6b67\u548c bank \u51b2\u7a81\uff0c\u4ece\u800c\u5bfc\u81f4\u6027\u80fd\u4e0b\u964d\u3002<\/p>\n\n\n\n<p>\u4e3a\u514b\u670d\u4e0a\u8ff0\u6311\u6218\uff0cConvStencil \u5f15\u5165\u4e86 stencil2row \u53d8\u6362\uff0c\u901a\u8fc7\u9ad8\u6548\u7684\u5185\u5b58\u5e03\u5c40\uff0c\u51cf\u5c11\u4e8670.0\uff05\u81f396.4\uff05\u7684\u5185\u5b58\u9700\u6c42\u3002\u5728 compute adaptation \u65b9\u9762\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa dual tessellation \u7b97\u6cd5\u5c06\u5f20\u91cf\u6838\u5fc3\u5229\u7528\u7387\u4ece12.5\uff05\u63d0\u9ad8\u523087.5\uff05\u3002\u5728 conflict removal \u65b9\u9762\uff0c\u7814\u7a76\u5458\u4eec\u901a\u8fc7 lookup table \u51cf\u5c11\u5197\u4f59\u7684\u5bfb\u5740\u8ba1\u7b97\u3002\u7814\u7a76\u5458\u4eec\u8fd8\u8bbe\u8ba1\u4e86 dirty bits padding\uff0c\u5229\u7528 padding \u533a\u57df\u6765\u5b58\u50a8\u810f\u6570\u636e\u5e76\u907f\u514d\u6761\u4ef6\u5206\u652f\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u63d0\u5347\u6027\u80fd\u3002\u4e0e\u5982 AMOS\u3001cuDNN\u3001Brick\u3001DRStencil \u548c TCStencil \u7b49\u65b9\u6848\u76f8\u6bd4\uff0cConvStencil \u5b9e\u73b0\u4e86\u663e\u8457\u7684\u52a0\u901f\u6548\u679c\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"717\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-2-717x1024-1.png\" alt=\"ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores | diagram\" class=\"wp-image-1076157\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-2-717x1024-1.png 717w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-2-717x1024-1-210x300.png 210w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-2-717x1024-1-126x180.png 126w\" sizes=\"auto, (max-width: 717px) 100vw, 717px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1astencil2row \u53d8\u6362<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"519\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-3-1024x519-1.png\" alt=\"ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores | diagram\" class=\"wp-image-1076160\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-3-1024x519-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-3-1024x519-1-300x152.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-3-1024x519-1-768x389.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-3-1024x519-1-240x122.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1adual tessellation \u7b97\u6cd5<\/figcaption><\/figure>\n\n\n\n<p>\u901a\u8fc7\u5c06stencil\u8ba1\u7b97\u8f6c\u5316\u4e3a\u5f20\u91cf\u6838\u5fc3\u5355\u5143\u4e0a\u7684\u77e9\u9635\u4e58\u6cd5\uff0cConvStencil \u6709\u671b\u63d0\u9ad8\u5404\u79cd\u79d1\u5b66\u548c\u5de5\u7a0b\u5e94\u7528\u7684\u6027\u80fd\u3002\u672c\u6587\u63d0\u51fa\u7684 ConvStencil \u5c5e\u4e8e TensorStencil \u9879\u76ee\u7814\u7a76\u5de5\u4f5c\u7684\u4e00\u90e8\u5206\u3002\u672a\u6765\uff0cTensorStencil \u9879\u76ee\u5c06\u63a8\u51fa\u4e00\u7cfb\u5217\u540e\u7eed\u4f18\u5316\u5de5\u4f5c\uff0c\u4ee5\u63a2\u7d22\u9ad8\u6027\u80fd\u8ba1\u7b97\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u7814\u7a76\u5728\u201c\u8f6f\u201d\uff08\u7b97\u6cd5\uff09\u201c\u786c\u201d\uff08\u786c\u4ef6\uff09\u4e24\u65b9\u9762\u4e0a\u7684\u7ed3\u5408\uff0c\u5f00\u542f HPC4Science \u7b97\u6cd5\u6027\u80fd\u4f18\u5316\u7684\u65b0\u8303\u5f0f\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research2\">Anubis\uff1a\u901a\u8fc7\u4e3b\u52a8\u9a8c\u8bc1\u63d0\u5347\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u7684\u53ef\u9760\u6027<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"177\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-4-768x177-1.png\" alt=\"ANUBIS: Towards Reliable Cloud AI Infrastructure via Proactive Validation\" class=\"wp-image-1076163\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-4-768x177-1.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-4-768x177-1-300x69.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-4-768x177-1-240x55.png 240w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/pdf\/2402.06194.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/arxiv.org\/pdf\/2402.06194.pdf<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u9879\u76ee\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/superbench\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/aka.ms\/superbench<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5728\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u4e2d\uff0c\u53ef\u9760\u6027\u5bf9\u4e8e\u4e91\u670d\u52a1\u63d0\u4f9b\u5546\u81f3\u5173\u91cd\u8981\uff0c\u53ef\u4fc3\u4f7f\u786c\u4ef6\u5197\u4f59\u7684\u5e7f\u6cdb\u4f7f\u7528\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u5197\u4f59\u53ef\u80fd\u4f1a\u5728\u65e0\u610f\u4e2d\u964d\u4f4e\u4eba\u5de5\u667a\u80fd\u5de5\u4f5c\u8d1f\u8f7d\u7684\u6027\u80fd\uff0c\u5373\u6240\u8c13\u7684\u201c\u7070\u8272\u6545\u969c\u201d\uff0c\u5e76\u63a9\u76d6\u6027\u80fd\u95ee\u9898\uff0c\u4f7f\u5f97\u5206\u6790\u6545\u969c\u53ca\u6027\u80fd\u4e0b\u964d\u7684\u6839\u672c\u539f\u56e0\u53d8\u5f97\u66f4\u52a0\u590d\u6742\u3002<\/p>\n\n\n\n<p>\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u53d1\u73b0\uff0c\u4e0e\u6545\u969c\u53d1\u751f\u540e\u8fdb\u884c\u7684\u88ab\u52a8\u5f0f\u6545\u969c\u5206\u6790\u76f8\u6bd4\uff0c\u5728\u6545\u969c\u53d1\u751f\u524d\u53ca\u65f6\u3001\u4e3b\u52a8\u5730\u9a8c\u8bc1\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u7684\u5404\u4e2a\u7ec4\u4ef6\uff0c\u53ef\u5927\u5927\u51cf\u5c11\u6545\u969c\u53d1\u751f\u7684\u9891\u7387\uff0c\u63d0\u9ad8\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u7684\u53ef\u9760\u6027\u3002\u56e0\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 Anubis \u7cfb\u7edf\uff0c\u8fd9\u662f\u4e00\u4e2a\u9488\u5bf9\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u7684\u4e3b\u52a8\u9a8c\u8bc1\u7cfb\u7edf\uff0c\u53ef\u4ee5\u51cf\u5c11\u786c\u4ef6\u5197\u4f59\u5f15\u8d77\u7684\u6027\u80fd\u4e0b\u964d\uff0c\u5e76\u63d0\u5347\u6574\u4f53\u53ef\u9760\u6027\u3002Anubis \u7cfb\u7edf\u5177\u6709\u5b8c\u5907\u7684\u57fa\u51c6\u6d4b\u8bd5\u5957\u4ef6\uff0c\u80fd\u591f\u8bc4\u4f30\u4efb\u4e00\u786c\u4ef6\u7ec4\u4ef6\u5e76\u4ee3\u8868\u7edd\u5927\u591a\u6570\u771f\u5b9e\u7684\u4eba\u5de5\u667a\u80fd\u5de5\u4f5c\u8d1f\u8f7d\u3002Anubis \u6709\u4e00\u4e2a\u9a8c\u8bc1\u5668\uff0c\u7528\u4e8e\u5b66\u4e60\u57fa\u51c6\u6d4b\u8bd5\u6807\u51c6\uff0c\u4ee5\u660e\u786e\u5b9a\u4f4d\u6709\u7f3a\u9677\u7684\u7ec4\u4ef6\u3002\u6b64\u5916\uff0cAnubis \u8fd8\u5305\u542b\u4e00\u4e2a\u9009\u62e9\u5668\uff0c\u6765\u5e73\u8861\u9a8c\u8bc1\u65f6\u95f4\u548c\u53d1\u73b0\u95ee\u9898\u7684\u6570\u91cf\uff0c\u4ece\u800c\u80fd\u591f\u5728\u6267\u884c\u9a8c\u8bc1\u65f6\uff0c\u9009\u62e9\u6700\u4f73\u7684\u6267\u884c\u65f6\u95f4\uff0c\u5e76\u4f7f\u7528\u5b9a\u5236\u7684\u57fa\u51c6\u6d4b\u8bd5\u5b50\u96c6\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"522\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-5-1024x522-1.png\" alt=\"ANUBIS: Towards Reliable Cloud AI Infrastructure via Proactive Validation | diagram\" class=\"wp-image-1076166\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-5-1024x522-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-5-1024x522-1-300x153.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-5-1024x522-1-768x392.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-5-1024x522-1-240x122.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1aAnubis \u7cfb\u7edf\u67b6\u6784\u548c\u793a\u4f8b\u5de5\u4f5c\u6d41\u7a0b<\/figcaption><\/figure>\n\n\n\n<p>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cAnubis \u53ef\u5c06\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u4e2d\u7684\u6545\u969c\u95f4\u5e73\u5747\u65f6\u95f4\u589e\u52a0\u523022.61\u500d\u3002\u8fc7\u53bb\u4e24\u5e74\uff0cAnubis \u5df2\u6210\u529f\u90e8\u7f72\u5728\u5fae\u8f6f Azure \u4e91\u5e73\u53f0\u7684\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u4e2d\uff0c\u5e76\u9a8c\u8bc1\u4e86\u6570\u5341\u4e07\u5757 GPU\u3002\u672a\u6765\uff0c\u7814\u7a76\u5458\u4eec\u5c06\u6301\u7eed\u5bf9\u4e91\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u9886\u57df\u8fdb\u884c\u66f4\u52a0\u6df1\u5165\u7684\u63a2\u7d22\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research3\">\u57fa\u4e8e\u5fc3\u7406\u6d4b\u91cf\u5b66\u7684\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\u65b9\u6cd5<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"342\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-6-768x342-1.png\" alt=\"Evaluating General-purpose AI with Psychometrics\" class=\"wp-image-1076169\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-6-768x342-1.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-6-768x342-1-300x134.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-6-768x342-1-240x107.png 240w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/abs\/2310.16379\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/arxiv.org\/abs\/2310.16379<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\uff08General-Purpose AI\uff09\u5728\u5f53\u4eca\u793e\u4f1a\u7684\u91cd\u8981\u6027\u65e5\u76ca\u51f8\u663e\uff0c\u56e0\u6b64\u5bf9\u5176\u8fdb\u884c\u6709\u6548\u7684\u8bc4\u4f30\u5c31\u53d8\u5f97\u5c24\u4e3a\u5173\u952e\u3002\u4f46\u4f20\u7edf\u7684\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\u5e38\u5e38\u4f9d\u8d56\u4e8e\u9884\u5148\u8bbe\u5b9a\u7684\u7279\u5b9a\u4efb\u52a1\uff0c\u800c\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u9700\u8981\u9762\u5bf9\u4f17\u591a\u672a\u77e5\u4e14\u590d\u6742\u7684\u4efb\u52a1\u573a\u666f\u3002\u6240\u4ee5\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\u7684\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\u65b9\u6cd5\u5df2\u4e0d\u518d\u9002\u7528\u4e8e\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u3002\u5982\u4f55\u53ef\u9760\u4e14\u9ad8\u6548\u5730\u8bc4\u4f30\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\uff0c\u5df2\u7ecf\u6210\u4e3a\u4e00\u4e2a\u91cd\u8981\u7684\u6311\u6218\u3002<\/p>\n\n\n\n<p>\u5bf9\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u521b\u65b0\u6027\u7684\u601d\u8def\u2014\u2014\u4f7f\u7528\u5fc3\u7406\u6d4b\u91cf\u5b66\u6765\u8bc4\u4f30\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u3002\u5fc3\u7406\u6d4b\u91cf\u5b66\uff08Psychometrics\uff09\u662f\u4e00\u95e8\u4e13\u6ce8\u4e8e\u8bc4\u4f30\u4eba\u7c7b\u5fc3\u7406\u7279\u8d28\u548c\u80fd\u529b\u7684\u79d1\u5b66\u3002\u5728\u5176\u53d1\u5c55\u8fc7\u7a0b\u4e2d\uff0c\u5fc3\u7406\u6d4b\u91cf\u5b66\u79ef\u7d2f\u4e86\u5927\u91cf\u5173\u4e8e\u8bc4\u4f30\u5fc3\u7406\u7279\u8d28\u7684\u7406\u8bba\u548c\u65b9\u6cd5\uff0c\u4e3a\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u7684\u8bc4\u4f30\u63d0\u4f9b\u4e86\u4e00\u4e2a\u79d1\u5b66\u7684\u57fa\u7840\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u5206\u6790\u4e86\u76ee\u524d\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\u5b58\u5728\u7684\u4e09\u4e2a\u4e3b\u8981\u5c40\u9650\uff0c\u5e76\u63a2\u8ba8\u4e86\u5fc3\u7406\u6d4b\u91cf\u5b66\u53ef\u4ee5\u91c7\u53d6\u7684\u5e94\u5bf9\u7b56\u7565\uff1a<\/p>\n\n\n\n<p>1. \u9884\u6d4b\u529b\u4e0d\u8db3\uff1a\u73b0\u6709\u7684\u8bc4\u4f30\u65b9\u6cd5\u4e3b\u8981\u7740\u773c\u4e8e\u4eba\u5de5\u667a\u80fd\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\uff0c\u800c\u96be\u4ee5\u9884\u6d4b\u4eba\u5de5\u667a\u80fd\u5728\u9762\u5bf9\u65b0\u4efb\u52a1\u65f6\u7684\u8868\u73b0\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5fc3\u7406\u6d4b\u91cf\u5b66\u8bc4\u4f30\u7684\u662f\u4efb\u52a1\u80cc\u540e\u7684\u6df1\u5c42\u5fc3\u7406\u6784\u5ff5\uff08\u5982\u80fd\u529b\u3001\u4ef7\u503c\u89c2\u548c\u52a8\u673a\u7b49\uff09\u3002\u8fd9\u4e9b\u5173\u952e\u6784\u5ff5\u51b3\u5b9a\u4e86\u4eba\u5de5\u667a\u80fd\u5728\u5904\u7406\u4e0d\u540c\u4efb\u52a1\u65f6\u7684\u8868\u73b0\uff0c\u4ece\u800c\u4f7f\u8bc4\u4f30\u7ed3\u679c\u5177\u6709\u9884\u6d4b\u6027\u30022. \u7f3a\u4e4f\u4fe1\u606f\u91cf\uff1a\u5e38\u89c4\u7684\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\u5f80\u5f80\u53ea\u63d0\u4f9b\u603b\u4f53\u8868\u73b0\uff0c\u800c\u5ffd\u89c6\u4e86\u5bf9\u539f\u56e0\u7684\u6df1\u5165\u89e3\u91ca\uff0c\u8fd9\u4f7f\u5f97\u4f9d\u636e\u8fd9\u4e9b\u8bc4\u4f30\u6765\u4f18\u5316\u4eba\u5de5\u667a\u80fd\u53d8\u5f97\u56f0\u96be\u3002\u5fc3\u7406\u6d4b\u91cf\u5b66\u901a\u8fc7\u5bf9\u76ee\u6807\u6784\u5ff5\u7684\u7ec6\u81f4\u62c6\u89e3\u548c\u9488\u5bf9\u6027\u8bc4\u4f30\uff0c\u53ef\u5e2e\u52a9\u4eba\u4eec\u66f4\u6df1\u5165\u4e14\u5168\u9762\u5730\u7406\u89e3\u4eba\u5de5\u667a\u80fd\u7684\u8868\u73b0\u30023. \u6d4b\u8bd5\u5de5\u5177\u8d28\u91cf\u4e0d\u9ad8\uff1a\u76ee\u524d\u4eba\u5de5\u667a\u80fd\u6d4b\u8bd5\u5de5\u5177\u7684\u8d28\u91cf\u5c1a\u672a\u5f97\u5230\u5145\u5206\u9a8c\u8bc1\uff0c\u53ef\u80fd\u5bfc\u81f4\u8bef\u5bfc\u6027\u7684\u6d4b\u8bd5\u7ed3\u679c\u3002\u5fc3\u7406\u6d4b\u91cf\u5b66\u901a\u8fc7\u4e25\u683c\u7684\u4fe1\u5ea6\u548c\u6548\u5ea6\u68c0\u9a8c\uff0c\u80fd\u786e\u4fdd\u6d4b\u8bd5\u5de5\u5177\u7a33\u5b9a\u4e14\u51c6\u786e\u5730\u53cd\u6620\u4eba\u5de5\u667a\u80fd\u5728\u7279\u5b9a\u5fc3\u7406\u6784\u5ff5\u4e0a\u7684\u771f\u5b9e\u6c34\u5e73\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"276\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-7-1024x276-1.png\" alt=\"Evaluating General-purpose AI with Psychometrics | diagram\" class=\"wp-image-1076172\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-7-1024x276-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-7-1024x276-1-300x81.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-7-1024x276-1-768x207.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-7-1024x276-1-240x65.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe4\uff1a\u76ee\u524d\u7684\u4eba\u5de5\u667a\u80fd\u8bc4\u4f30\u65b9\u6cd5\u4e0e\u5fc3\u7406\u6d4b\u91cf\u65b9\u6cd5\u7684\u6bd4\u8f83<\/figcaption><\/figure>\n\n\n\n<p>\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u5229\u7528\u5fc3\u7406\u6d4b\u91cf\u5b66\u6765\u8bc4\u4f30\u4eba\u5de5\u667a\u80fd\u7684\u6846\u67b6\u3002\u8be5\u6846\u67b6\u5728\u5404\u5173\u952e\u73af\u8282\u63a2\u8ba8\u4e86\u5982\u4f55\u6269\u5c55\u5fc3\u7406\u6d4b\u91cf\u5b66\u7684\u65b9\u6cd5\uff0c\u4f7f\u5176\u80fd\u591f\u9002\u7528\u4e8e\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u7684\u8bc4\u4f30\u3002\u5177\u4f53\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a1. \u53c2\u7167\u5fc3\u7406\u5b66\u9886\u57df\u7684\u7b56\u7565\u6765\u8bc6\u522b\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u7684\u5173\u952e\u5fc3\u7406\u6784\u5ff5\uff1b2. \u501f\u9274\u5fc3\u7406\u6d4b\u9a8c\u7684\u4e00\u822c\u6d41\u7a0b\uff0c\u4e3a\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u6d4b\u9a8c\u5e76\u8bc4\u5206\u3002\u5728\u6b64\u8fc7\u7a0b\u4e2d\uff0c\u9488\u5bf9\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u6240\u9700\u5177\u5907\u7684\u6784\u5ff5\uff0c\u8bbe\u8ba1\u4e0d\u540c\u7684\u6d4b\u9a8c\u5f62\u5f0f\uff0c\u540c\u65f6\u5e94\u7528\u9879\u76ee\u53cd\u5e94\u7406\u8bba\u6765\u5b9e\u73b0\u5bf9\u6784\u5ff5\u7684\u7cbe\u51c6\u8bc4\u5206\uff1b3. \u5f15\u5165\u4fe1\u5ea6\u548c\u6548\u5ea6\u7684\u6982\u5ff5\uff0c\u786e\u4fdd\u6d4b\u9a8c\u5bf9\u4e8e\u7279\u5b9a\u4eba\u5de5\u667a\u80fd\u5177\u6709\u9ad8\u5ea6\u7684\u53ef\u9760\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u4e5f\u6307\u51fa\uff0c\u7531\u4e8e\u4eba\u5de5\u667a\u80fd\u4e0e\u4eba\u7c7b\u4e4b\u95f4\u5b58\u5728\u663e\u8457\u5dee\u5f02\uff0c\u5728\u5e94\u7528\u5fc3\u7406\u6d4b\u91cf\u5b66\u8bc4\u4f30\u901a\u7528\u578b\u4eba\u5de5\u667a\u80fd\u7684\u6846\u67b6\u65f6\uff0c\u8fd8\u5b58\u5728\u8bb8\u591a\u5c1a\u672a\u89e3\u51b3\u7684\u95ee\u9898\u548c\u5f00\u653e\u6027\u7684\u8bae\u9898\uff0c\u503c\u5f97\u6301\u7eed\u5173\u6ce8\u548c\u6df1\u5165\u63a2\u7d22\uff1a\u9996\u5148\uff0c\u4eba\u5de5\u667a\u80fd\u5982\u4f55\u533a\u5206\u201c\u4e2a\u4f53\u201d\u548c\u201c\u603b\u4f53\u201d\uff1f\u5176\u6b21\uff0c\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5bf9\u4e8e prompts \u975e\u5e38\u654f\u611f\uff0c\u5982\u4f55\u5224\u65ad\u8fdb\u884c prompt engineering \u7684\u5fc5\u8981\u6027\uff0c\u5e76\u89e3\u8bfb\u7531\u6b64\u5e26\u6765\u7684\u6a21\u578b\u7ed3\u679c\u53d8\u5316\uff1f\u6700\u540e\uff0c\u5bf9\u4e8e\u540c\u4e00\u6784\u5ff5\uff0c\u80fd\u5426\u4f7f\u7528\u76f8\u540c\u7684\u6d4b\u9a8c\u9898\u76ee\u6765\u8bc4\u4f30\u5e76\u6bd4\u8f83\u4eba\u7c7b\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u8868\u73b0\uff1f\u8fd9\u4e9b\u9898\u76ee\u5bf9\u4e24\u8005\u662f\u5426\u540c\u6837\u6709\u6548\uff1f\u4eba\u5de5\u667a\u80fd\u8fd9\u4e00\u65b0\u578b\u667a\u80fd\u4f53\u662f\u5426\u62e5\u6709\u4e0e\u4eba\u7c7b\u4e0d\u540c\u7684\u72ec\u7279\u6784\u5ff5\uff1f\u8fd9\u4e9b\u95ee\u9898\u6709\u5f85\u7814\u7a76\u5458\u4eec\u548c\u5fc3\u7406\u5b66\u4e13\u5bb6\u5408\u4f5c\u8fdb\u884c\u63a2\u8ba8\u7814\u7a76\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research4\">VLP\uff1a\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u5de6\u53f3\u8111\u601d\u7ef4\u6a21\u5f0f\u7684\u89c6\u89c9\u8bed\u8a00\u89c4\u5212\u6846\u67b6<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"171\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-8-768x171-1.png\" alt=\"Using Left and Right Brains Together: Towards Vision and Language Planning\" class=\"wp-image-1076175\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-8-768x171-1.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-8-768x171-1-300x67.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-8-768x171-1-240x53.png 240w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/abs\/2402.10534\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/arxiv.org\/abs\/2402.10534<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u76ee\u524d\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u548c\u591a\u6a21\u6001\u5927\u6a21\u578b\uff08LMMs\uff09\u5177\u5907\u5f3a\u5927\u7684\u5bf9\u8bdd\u7406\u89e3\u548c\u601d\u8003\u80fd\u529b\uff0c\u540c\u65f6\u601d\u7ef4\u94fe\uff08CoT\uff09\u8fd9\u79cd\u8bed\u8a00\u89c4\u5212\u8303\u5f0f\u53c8\u8d4b\u4e88\u4e86\u591a\u6a21\u6001\u5927\u6a21\u578b\u66f4\u5f3a\u7684\u63a8\u7406\u80fd\u529b\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684\u591a\u6a21\u6001\u5927\u6a21\u578b\u4ecd\u7f3a\u4e4f\u89c6\u89c9\u63a8\u7406\u80fd\u529b\uff0c\u8fd9\u4e0e\u4eba\u7c7b\u7684\u601d\u8003\u65b9\u5f0f\u5e76\u4e0d\u76f8\u7b26\u2014\u2014\u4eba\u7c7b\u5728\u601d\u8003\u65f6\uff0c\u5de6\u8111\u8d1f\u8d23\u8bed\u8a00\u548c\u903b\u8f91\u63a8\u7406\uff0c\u53f3\u8111\u8d1f\u8d23\u89c6\u89c9\u548c\u7a7a\u95f4\u63a8\u7406\uff0c\u4f46\u591a\u6a21\u6001\u5927\u6a21\u578b\u76ee\u524d\u4ec5\u80fd\u6a21\u4eff\u5de6\u8111\u7684\u8bed\u8a00\u63a8\u7406\u8fc7\u7a0b\u3002<\/p>\n\n\n\n<p>\u4e3a\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63a8\u51fa\u4e86\u540d\u4e3a VLP \u7684\u89c6\u89c9\u8bed\u8a00\u89c4\u5212\u6846\u67b6\u3002\u8be5\u6846\u67b6\u5305\u542b\u4e86\u8bed\u8a00\u89c4\u5212\u5206\u652f\u548c\u89c6\u89c9\u89c4\u5212\u5206\u652f\u3002\u8bed\u8a00\u89c4\u5212\u5206\u652f\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u601d\u7ef4\u94fe\u601d\u8003\uff0c\u5c06\u95ee\u9898\u8f6c\u5316\u6210\u82e5\u5e72\u5b50\u95ee\u9898\u8fdb\u884c\u56de\u7b54\u3002\u89c6\u89c9\u89c4\u5212\u5206\u652f\u5219\u4f7f\u7528\u5927\u89c6\u89c9\u6a21\u578b\uff0c\u5982 Sora \u6216\u8005 Stable Video Diffusion \u8fd9\u79cd\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u4ee5\u8fdb\u884c\u89c6\u89c9\u63a8\u7406\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"298\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-9-1024x298-1.png\" alt=\"Using Left and Right Brains Together: Towards Vision and Language Planning | diagram\" class=\"wp-image-1076178\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-9-1024x298-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-9-1024x298-1-300x87.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-9-1024x298-1-768x224.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-9-1024x298-1-240x70.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe5\uff1a\u50cf\u4eba\u7c7b\u5de6\u53f3\u8111\u601d\u8003\u7684\u89c6\u89c9\u8bed\u8a00\u89c4\u5212\u6846\u67b6 VLP<\/figcaption><\/figure>\n\n\n\n<p>\u5177\u4f53\u800c\u8a00\uff0cVLP \u9996\u5148\u5bf9\u4e8e\u4e0d\u540c\u6a21\u6001\u7684\u8f93\u5165\u4efb\u52a1\u8fdb\u884c\u7edf\u4e00\u5316\uff0c\u90fd\u8f6c\u5316\u6210\u8bed\u8a00\u8f93\u5165\u548c\u89c6\u89c9\u8f93\u5165\u3002\u89c6\u89c9\u89c4\u5212\u5206\u652f\u63a5\u53d7\u89c6\u89c9\u8f93\u5165\uff0c\u4f7f\u7528\u6269\u6563\u6a21\u578b\u6765\u751f\u6210\u89c6\u9891\u672a\u6765\u5e27\uff0c\u5e76\u4f7f\u7528\u7c97\u7b5b\u5668\u548c\u7ec6\u7b5b\u5668\u6765\u7b5b\u9009\u5bf9\u7528\u6237\u95ee\u9898\u6709\u7528\u7684\u5e27\uff0c\u7ec4\u6210\u89c6\u89c9\u8ba1\u5212\u3002\u8bed\u8a00\u89c4\u5212\u5206\u652f\u4f7f\u7528\u601d\u7ef4\u94fe\u8fdb\u884c\u95ee\u9898\u5206\u89e3\uff0c\u5f62\u6210\u8bed\u8a00\u8ba1\u5212\u3002\u6700\u540e\uff0c\u591a\u6a21\u6001\u5927\u6a21\u578b\u6839\u636e\u89c6\u89c9\u8ba1\u5212\u548c\u8bed\u8a00\u8ba1\u5212\u505a\u51fa\u6700\u7ec8\u51b3\u7b56\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"553\" height=\"311\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-10.png\" alt=\"Using Left and Right Brains Together: Towards Vision and Language Planning | diagram\" class=\"wp-image-1076181\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-10.png 553w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-10-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-10-240x135.png 240w\" sizes=\"auto, (max-width: 553px) 100vw, 553px\" \/><figcaption class=\"wp-element-caption\">\u56fe6\uff1a\u89c6\u89c9\u8bed\u8a00\u89c4\u5212\u6846\u67b6 VLP \u6d41\u7a0b\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u90e8\u5206\u5b9e\u9a8c\u7ed3\u679c\u5982\u56fe7\u6240\u793a\uff0cVLP \u6846\u67b6\u5728 STAR \u548c NExT-QA \u6570\u636e\u96c6\u7684\u89c6\u9891\u95ee\u7b54\u4e2d\u53d6\u5f97\u4e86\u8fc4\u4eca\u4e3a\u6b62\u6700\u597d\u7684\u7ed3\u679c\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"350\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-11-1024x350-1.png\" alt=\"Using Left and Right Brains Together: Towards Vision and Language Planning | results table\" class=\"wp-image-1076184\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-11-1024x350-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-11-1024x350-1-300x103.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-11-1024x350-1-768x263.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-9-11-1024x350-1-240x82.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe7\uff1aVLP \u90e8\u5206\u5b9e\u9a8c\u7ed3\u679c<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>\u7f16\u8005\u6309\uff1a\u6b22\u8fce\u9605\u8bfb\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u680f\u76ee\uff01\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u6c47\u805a\u4e86\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u6700\u65b0\u7684\u521b\u65b0\u6210\u679c\u4e0e\u79d1\u7814\u52a8\u6001\u3002\u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u6d4f\u89c8\u7814\u7a76\u9662\u7684\u4eae\u70b9\u8d44\u8baf\uff0c\u4fdd\u6301\u5bf9\u524d\u6cbf\u9886\u57df\u7684\u654f\u9510\u55c5\u89c9\uff0c\u540c\u65f6\u4e5f\u80fd\u627e\u5230\u5148\u8fdb\u5b9e\u7528\u7684\u5f00\u6e90\u5de5\u5177\u3002 \u672c\u6587\u8363\u83b7 PPoPP 2024 \u552f\u4e00\u6700\u4f73\u8bba\u6587\u5956 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/dl.acm.org\/doi\/10.1145\/3627535.3638476 (opens in new tab) \u9879\u76ee\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/ConvStencil (opens in new tab) 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