{"id":1073292,"date":"2023-08-23T04:58:00","date_gmt":"2023-08-23T11:58:00","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/?post_type=msr-blog-post&p=1073292"},"modified":"2024-09-25T03:43:27","modified_gmt":"2024-09-25T10:43:27","slug":"new-arrival-in-research-1","status":"publish","type":"msr-blog-post","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/articles\/new-arrival-in-research-1\/","title":{"rendered":"\u79d1\u7814\u4e0a\u65b0 | \u7b2c1\u671f\uff1a\u5f3a\u53ef\u63a7\u89c6\u9891\u751f\u6210\uff1b\u5b9a\u5236\u5316\u6837\u672c\u68c0\u7d22\u5668\uff1b\u7528\u8111\u7535\u91cd\u5efa\u89c6\u89c9\u611f\u77e5\uff1b\u5927\u6a21\u578b\u9c81\u68d2\u6027\u8bc4\u6d4b"},"content":{"rendered":"\n

\u6b22\u8fce\u9605\u8bfb\u6211\u4eec\u7684\u65b0\u680f\u76ee\u2014\u2014\u201c\u79d1\u7814\u4e0a\u65b0\u201d\uff01<\/p>\n\n\n\n

\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

\u672c\u671f\u5185\u5bb9\u901f\u89c8<\/p>\n\n\n\n

01. \u5f3a\u53ef\u63a7\u89c6\u9891\u751f\u6210\u6a21\u578b DragNUWA<\/p>\n\n\n\n

02. LLM Retriever\uff1a\u901a\u8fc7\u5b9a\u5236\u5316\u6837\u672c\u68c0\u7d22\u5668\u6765\u63d0\u9ad8\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u6548\u679c<\/p>\n\n\n\n

03. \u89e3\u7801\u5927\u8111\u4fe1\u53f7\u91cd\u5efa\u89c6\u89c9\u611f\u77e5\u56fe\u50cf<\/p>\n\n\n\n

04. PromptBench\uff1a\u9996\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u793a\u9c81\u68d2\u6027\u7684\u8bc4\u6d4b\u57fa\u51c6<\/p>\n\n\n\n

arXiv\u7cbe\u9009<\/h2>\n\n\n\n

\u5f3a\u53ef\u63a7\u89c6\u9891\u751f\u6210\u6a21\u578b DragNUWA<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2308.08089<\/p>\n\n\n\n

\u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/project\/dragnuwa\/<\/p>\n\n\n\n

\u5728\u4eba\u5de5\u667a\u80fd\u4e0e\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u9886\u57df\u4e0d\u65ad\u53d6\u5f97\u7a81\u7834\u7684\u4eca\u5929\uff0c\u89c6\u9891\u751f\u6210\u6280\u672f\u5df2\u6210\u4e3a\u9886\u57df\u5185\u7684\u7814\u7a76\u7126\u70b9\u3002\u5c3d\u7ba1\u4f20\u7edf\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u5982 NUWA\u3001Phenaki \u548c Gen-2\uff0c\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5b9e\u73b0\u4e86\u57fa\u4e8e\u6587\u672c\u7684\u89c6\u9891\u751f\u6210\uff0c\u4f46\u5728\u7ec6\u7c92\u5ea6\u63a7\u5236\u65b9\u9762\u4ecd\u6709\u4e0d\u8db3\u3002\u800c\u5728\u7535\u5f71\u5236\u4f5c\u548c\u77ed\u89c6\u9891\u521b\u4f5c\u9886\u57df\uff0c\u5bfc\u6f14\u548c\u521b\u4f5c\u8005\u5bf9\u7cbe\u7ec6\u7684\u8fd0\u955c\u4ee5\u53ca\u590d\u6742\u4e14\u53ef\u63a7\u7684\u89d2\u8272\u52a8\u4f5c\u90fd\u6709\u7740\u6781\u9ad8\u7684\u8981\u6c42\uff0c\u53ef\u662f\u8fd9\u4e9b\u9700\u6c42\u76ee\u524d\u5374\u96be\u4ee5\u901a\u8fc7\u73b0\u6709\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\u5b9e\u73b0\u3002<\/p>\n\n\n\n

\u4e3a\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u56e2\u961f\u7814\u53d1\u4e86\u5f3a\u53ef\u63a7\u89c6\u9891\u751f\u6210\u6a21\u578b DragNUWA\uff0c\u9769\u65b0\u4e86\u5f53\u524d\u7684\u89c6\u89c9\u4f53\u9a8c\u3002\u53d7\u5230 DragGAN \u91c7\u7528\u62d6\u62fd\u65b9\u5f0f\u7f16\u8f91\u56fe\u50cf\u7684\u542f\u53d1\uff0cDragNUWA \u5141\u8bb8\u7528\u6237\u76f4\u63a5\u5728\u56fe\u50cf\u4e2d\u62d6\u62fd\u7269\u4f53\u6216\u80cc\u666f\uff0c\u7136\u540e\u6a21\u578b\u4f1a\u81ea\u52a8\u5c06\u62d6\u62fd\u64cd\u4f5c\u8f6c\u5316\u4e3a\u5408\u7406\u7684\u8fd0\u955c\u6216\u7269\u4f53\u7684\u8fd0\u52a8\uff0c\u5e76\u751f\u6210\u76f8\u5e94\u7684\u89c6\u9891\u3002\u901a\u8fc7\u878d\u5408\u6587\u672c\u3001\u56fe\u50cf\u548c\u8f68\u8ff9\u4e09\u4e2a\u5173\u952e\u63a7\u5236\u56e0\u7d20\uff0cDragNUWA \u5728\u8bed\u4e49\u3001\u7a7a\u95f4\u548c\u65f6\u95f4\u4e09\u4e2a\u5c42\u9762\u5747\u5b9e\u73b0\u4e86\u5353\u8d8a\u7684\u53ef\u63a7\u89c6\u9891\u751f\u6210\u80fd\u529b\u3002<\/p>\n\n\n\n

\"\u56fe1\uff1aDragNUWA\u7684\u4e24\u79cd\u8f68\u8ff9\u63a7\u5236\u65b9\u5f0f\u3002\u62d6\u62fd\u80cc\u666f\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u955c\u5934\u6548\u679c\uff08\u5de6\u56fe\uff09\uff0c\u62d6\u62fd\u7269\u4f53\u53ef\u4ee5\u751f\u6210\u4eba\u7269\u590d\u6742\u8f68\u8ff9\uff08\u53f3\u56fe\uff09\u3002\"
\u56fe1\uff1aDragNUWA\u7684\u4e24\u79cd\u8f68\u8ff9\u63a7\u5236\u65b9\u5f0f\u3002\u62d6\u62fd\u80cc\u666f\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u955c\u5934\u6548\u679c\uff08\u5de6\u56fe\uff09\uff0c\u62d6\u62fd\u7269\u4f53\u53ef\u4ee5\u751f\u6210\u4eba\u7269\u590d\u6742\u8f68\u8ff9\uff08\u53f3\u56fe\uff09\u3002<\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

DragNUWA \u652f\u6301\u4e09\u4e2a\u5173\u952e\u63a7\u5236\u8f93\u5165\uff1a\u6587\u672c\uff08p\uff09,\u56fe\u50cf\uff08s\uff09\u548c\u8f68\u8ff9\uff08g\uff09\u3002\u4e3a\u4e86\u89e3\u51b3\u5f53\u524d\u4ec5\u6709\u89c6\u9891\u6587\u672c\u5bf9\u6570\u636e\u7684\u96be\u9898\uff0cDragNUWA \u5f15\u5165\u4e86\u8f68\u8ff9\u91c7\u6837\u5668\uff08Trajectory Sampler, TS\uff09\u4ece\u5f00\u653e\u9886\u57df\u89c6\u9891\u7684\u5149\u6d41\u4e2d\u63d0\u53d6\u8f68\u8ff9\u3002\u6240\u63d0\u53d6\u7684\u8f68\u8ff9\u3001\u521d\u59cb\u5e27\u56fe\u50cf\u548c\u6807\u6ce8\u6587\u672c\u5c06\u901a\u8fc7\u591a\u5c3a\u5ea6\u878d\u5408\u5668\uff08Multiscale Fusion\uff0cMF\uff09\u878d\u5165\u5230 UNet \u7684\u6bcf\u4e2a block\u3002\u800c\u4e3a\u4e86\u89e3\u51b3\u8f68\u8ff9\u7a00\u758f\u7684\u95ee\u9898\uff0cDragNUWA \u4f1a\u901a\u8fc7\u81ea\u9002\u5e94\u8bad\u7ec3\uff08Adaptive Training\uff0cAT\uff09\u9010\u6b65\u4ece\u5b8c\u6574\u7684\u5149\u6d41\u5207\u6362\u5230\u7a00\u758f\u7684\u8f68\u8ff9\uff0c\u4ee5\u786e\u4fdd\u89c6\u9891\u751f\u6210\u7684\u7a33\u5b9a\u6027\u3002<\/p>\n\n\n\n

\"\u56fe2\uff1aDragNUWA
\u56fe2\uff1aDragNUWA \u67b6\u6784\u56fe<\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u8ba9\u6211\u4eec\u60f3\u8c61\u4e00\u4e0b\uff0c\u5f53\u4f60\u5728\u6b23\u8d4f\u4e00\u5e45\u7f8e\u4e3d\u7684\u827a\u672f\u4f5c\u54c1\u65f6\uff0c\u901a\u8fc7 DragNUWA \u7684\u529b\u91cf\uff0c\u5b83\u80fd\u591f\u6309\u7167\u4f60\u7684\u610f\u613f\u5c55\u73b0\u51fa\u751f\u52a8\u7684\u753b\u9762\uff1b\u6216\u8005\u5728\u62cd\u6444\u4e00\u90e8\u52a8\u4f5c\u7247\u65f6\uff0c\u8ba9\u4e3b\u89d2\u5728\u5173\u952e\u65f6\u523b\u201c\u62e5\u6709\u201d\u9707\u64bc\u4eba\u5fc3\u7684\u6b66\u827a\u3002\u8fd9\u4e9b\u90fd\u5c06\u5f97\u76ca\u4e8e DragNUWA \u5f3a\u5927\u7684\u53ef\u63a7\u89c6\u9891\u751f\u6210\u80fd\u529b\u3002DragNUWA \u4e3a\u5305\u62ec\u5bfc\u6f14\u3001\u6444\u5f71\u5e08\u548c\u89c6\u9891\u521b\u4f5c\u8005\u4eec\u5728\u5185\u7684\u6574\u4e2a\u89c6\u89c9\u4f5c\u54c1\u9886\u57df\u6253\u5f00\u4e86\u5168\u65b0\u7684\u53ef\u80fd\u6027\uff0c\u53ef\u80fd\u5728\u672a\u6765\u628a\u89c6\u9891\u751f\u6210\u6280\u672f\u5e26\u5165\u4e00\u4e2a\u5168\u65b0\u7684\u53ef\u63a7\u65f6\u4ee3\u3002<\/p>\n\n\n\n

<\/p>\n\n\n\n

\"\u56fe3\uff1aDragNUWA
\u56fe3\uff1aDragNUWA \u751f\u6210\u6f14\u793a<\/figcaption><\/figure>\n\n\n\n

LLM Retriever\uff1a\u901a\u8fc7\u5b9a\u5236\u5316\u6837\u672c\u68c0\u7d22\u5668\u6765\u63d0\u9ad8\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u6548\u679c<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2307.07164<\/p>\n\n\n\n

\u9879\u76ee\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/LMOps<\/p>\n\n\n\n

\u5982\u4eca\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5c55\u73b0\u51fa\u4e86\u60ca\u4eba\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u80fd\u529b\uff1a\u4e0d\u9700\u8981\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u53c2\u6570\u8fdb\u884c\u5fae\u8c03\uff0c\u53ea\u9700\u8981\u6446\u653e\u51e0\u4e2a\u4e0a\u4e0b\u6587\u6837\u672c\uff0c\u8bed\u8a00\u6a21\u578b\u5c31\u53ef\u4ee5\u5b66\u4f1a\u6267\u884c\u8fd9\u4e2a\u4efb\u52a1\u3002\u4f46\u76f8\u5173\u7814\u7a76\u8868\u660e\uff0c\u8bed\u8a00\u6a21\u578b\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u6548\u679c\u5bf9\u4e8e\u6837\u672c\u7684\u9009\u62e9\u975e\u5e38\u654f\u611f\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u81ea\u52a8\u4ece\u6837\u672c\u6c60\u9009\u62e9\u5408\u9002\u7684\u6837\u672c\u5c31\u6210\u4e3a\u4e86\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u95ee\u9898\u3002<\/p>\n\n\n\n

\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5728\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\u7684\u7814\u7a76\u8fc7\u7a0b\u4e2d\u53d1\u73b0\uff0c\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u7684\u53cd\u9988\u4fe1\u53f7\u53ef\u4ee5\u4f5c\u4e3a\u4e0a\u4e0b\u6587\u6837\u672c\u9009\u62e9\u7684\u53ef\u9760\u4f9d\u636e\u3002\u4e0d\u540c\u7684\u6837\u672c\u5bf9\u4e8e\u8bed\u8a00\u6a21\u578b\u8f93\u51fa\u6b63\u786e\u7b54\u6848\u7684\u5f71\u54cd\u5e76\u4e0d\u76f8\u540c\uff0c\u90a3\u4e9b\u80fd\u63d0\u9ad8\u6b63\u786e\u7b54\u6848\u6982\u7387\u7684\u6837\u672c\u53ef\u4ee5\u88ab\u89c6\u4e3a\u9ad8\u8d28\u91cf\u7684\u4e0a\u4e0b\u6587\u6837\u672c\u3002\u57fa\u4e8e\u8fd9\u4e00\u89c2\u5bdf\uff0c\u7814\u7a76\u5458\u4eec\u5229\u7528\u8bed\u8a00\u6a21\u578b\u7684\u53cd\u9988\u4fe1\u53f7\u6765\u8bad\u7ec3\u5b9a\u5236\u5316\u7684\u6837\u672c\u68c0\u7d22\u5668 LLM Retriever\uff0c\u4ee5\u63d0\u9ad8\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u6548\u679c\u3002<\/p>\n\n\n\n

\"\u56fe4\uff1aLLM
\u56fe4\uff1aLLM Retriever \u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u6d41\u7a0b<\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u5177\u4f53\u6765\u8bf4\uff0c\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u9996\u5148\u7528\u8bed\u8a00\u6a21\u578b\u5bf9\u6bcf\u4e00\u4e2a\u5019\u9009\u7684\u4e0a\u4e0b\u6587\u6837\u672c\u6253\u5206\uff0c\u80fd\u591f\u4f7f\u5f97\u6b63\u786e\u7b54\u6848\u6982\u7387\u6700\u5927\u7684\u6837\u672c\u88ab\u89c6\u4e3a\u6b63\u4f8b\uff0c\u5176\u5b83\u7684\u88ab\u89c6\u4e3a\u8d1f\u4f8b\u3002\u7136\u540e\u5229\u7528\u8fd9\u4e9b\u81ea\u52a8\u6807\u6ce8\u7684\u6570\u636e\u6765\u8bad\u7ec3\u4e00\u4e2a\u5956\u52b1\u6a21\u578b\uff0c\u4ee5\u6355\u6349\u66f4\u52a0\u7ec6\u7c92\u5ea6\u7684\u76d1\u7763\u4fe1\u53f7\uff0c\u518d\u5bf9\u5956\u52b1\u6a21\u578b\u8fdb\u884c\u77e5\u8bc6\u84b8\u998f\uff0c\u5f97\u5230\u4e00\u4e2a\u9ad8\u6548\u7684\u68c0\u7d22\u5668 LLM Retriever\u3002\u8fd9\u4e00\u8bad\u7ec3\u6d41\u7a0b\u53ef\u4ee5\u8fed\u4ee3\u8fdb\u884c\uff0c\u4ece\u800c\u4e0d\u65ad\u63d0\u9ad8\u68c0\u7d22\u5668\u7684\u6548\u679c\u3002<\/p>\n\n\n\n

\u5728\u63a8\u7406\u9636\u6bb5\uff0c\u6839\u636e\u8bad\u7ec3\u5f97\u5230\u7684\u68c0\u7d22\u5668\uff0c\u79bb\u7ebf\u628a\u6837\u672c\u6c60\u5efa\u6210\u4e00\u4e2a\u65b9\u4fbf\u5feb\u901f\u67e5\u627e\u7684\u7d22\u5f15\u3002\u5bf9\u4e8e\u6bcf\u6761\u6d4b\u8bd5\u6570\u636e\uff0c\u5728\u7d22\u5f15\u4e2d\u67e5\u627e\u6700\u76f8\u4f3c\u7684\u82e5\u5e72\u4e2a\u6837\u672c\uff0c\u7136\u540e\u9001\u7ed9\u5927\u8bed\u8a00\u6a21\u578b\u505a\u4e0a\u4e0b\u6587\u5b66\u4e60\uff0c\u8f93\u51fa\u6700\u7ec8\u7684\u9884\u6d4b\u7ed3\u679c\u3002\u5728\u6574\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u8bed\u8a00\u6a21\u578b\u4e0d\u8fdb\u884c\u4efb\u4f55\u53c2\u6570\u5fae\u8c03\u3002<\/p>\n\n\n\n

\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u5305\u542b30\u4e2a\u6570\u636e\u96c6\u7684\u8bc4\u6d4b\u57fa\u51c6\u4e0a\uff0cLLM Retriever \u80fd\u591f\u68c0\u7d22\u51fa\u4e0e\u6d4b\u8bd5\u6570\u636e\u5177\u6709\u76f8\u4f3c\u6a21\u5f0f\u7684\u6837\u672c\uff0c\u4ece\u800c\u663e\u8457\u63d0\u9ad8\u5404\u79cd\u4efb\u52a1\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u6548\u679c\uff0c\u5e76\u4e14\u5bf9\u4e8e\u8bad\u7ec3\u9636\u6bb5\u6ca1\u6709\u89c1\u8fc7\u7684\u4efb\u52a1\u548c\u8bed\u8a00\u6a21\u578b\u4e5f\u5177\u5907\u5f88\u597d\u7684\u6cdb\u5316\u80fd\u529b\u3002LLM Retriever \u662f\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u81ea\u7136\u8bed\u8a00\u8ba1\u7b97\u7ec4\u5173\u4e8e\u5982\u4f55\u589e\u5f3a\u8bed\u8a00\u6a21\u578b\u80fd\u529b\u7684\u7814\u7a76\u7684\u4e00\u90e8\u5206\uff0c\u672a\u6765\u7814\u7a76\u5458\u4eec\u8fd8\u5c06\u7ee7\u7eed\u5728\u8fd9\u65b9\u9762\u8fdb\u884c\u6df1\u5165\u7684\u63a2\u7d22\u3002<\/p>\n\n\n\n

\u201c\u900f\u89c6\u201d\u5927\u8111\uff1a\u89e3\u7801\u5927\u8111\u4fe1\u53f7\u91cd\u5efa\u89c6\u89c9\u611f\u77e5\u56fe\u50cf<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2308.02510<\/p>\n\n\n\n

\u662f\u5426\u6709\u53ef\u80fd\u53ea\u6839\u636e\u975e\u4fb5\u5165\u5f0f\u8bbe\u5907\u83b7\u53d6\u7684\u5927\u8111\u4fe1\u53f7\uff0c\u5c31\u5b8c\u5168\u91cd\u5efa\u88ab\u8bd5\u4e3b\u4f53\u6240\u770b\u5230\u7684\u89c6\u89c9\u5185\u5bb9\uff1f<\/p>\n\n\n\n

\u8fd1\u5e74\u6765\uff0c\u5f97\u76ca\u4e8e\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u79d1\u5b66\u5bb6\u4eec\u5df2\u7ecf\u80fd\u591f\u8bb0\u5f55\u89c6\u89c9\u5f15\u53d1\u7684\u5927\u8111\u6d3b\u52a8\uff0c\u5e76\u901a\u8fc7\u8ba1\u7b97\u65b9\u6cd5\u6a21\u62df\u4eba\u7c7b\u7684\u89c6\u89c9\u8ba4\u77e5\u80fd\u529b\u3002\u5176\u4e2d\uff0c\u6709\u4e00\u79cd\u5927\u8111\u6d3b\u52a8\u7535\u751f\u7406\u4fe1\u53f7\u79f0\u4e3a\u8111\u7535\uff08Electroencephalograph, EEG\uff09\u4fe1\u53f7\u3002EEG \u8111\u7535\u4fe1\u53f7\u662f\u4e00\u79cd\u901a\u8fc7\u653e\u7f6e\u5728\u4eba\u7c7b\u5934\u76ae\u4e0a\u7684\u4fbf\u643a\u7535\u6781\uff0c\u53ef\u4f4e\u6210\u672c\u8bb0\u5f55\u5927\u8111\u65f6\u95f4\u52a8\u6001\u7684\u7535\u751f\u7406\u4fe1\u53f7\u3002\u8fd9\u7c7b\u8111\u7535\u6d3b\u52a8\u751f\u7406\u4fe1\u53f7\u76f8\u6bd4\u8f83\u78c1\u5171\u632f\u6210\u50cf\u7b49\u6280\u672f\uff0c\u5177\u5907\u4f4e\u6210\u672c\u3001\u91c7\u96c6\u65b9\u4fbf\u7684\u4f18\u70b9\uff0c\u4f46\u662f\uff0cEEG \u8111\u7535\u4fe1\u53f7\u91c7\u96c6\u4f1a\u53d7\u5230\u7535\u6781\u653e\u7f6e\u9519\u8bef\u6216\u8eab\u4f53\u8fd0\u52a8\u7684\u5f71\u54cd\uff0c\u8fdb\u800c\u5bfc\u81f4\u6570\u636e\u4e2d\u51fa\u73b0\u4e25\u91cd\u7684\u4f2a\u8ff9\uff0c\u5e76\u4e14\u5176\u4fe1\u566a\u6bd4\u8f83\u4f4e\uff0c\u56e0\u6b64\uff0c\u4f7f\u7528\u8111\u7535\u4fe1\u53f7\u91cd\u5efa\u89c6\u89c9\u611f\u77e5\u4ecd\u7136\u5341\u5206\u56f0\u96be\u3002<\/p>\n\n\n\n

\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u63d0\u51fa\u4e86 NeuroImagen, \u901a\u8fc7\u591a\u7ea7\u89e3\u7801\u65b9\u5f0f\uff0c\u53ef\u4ee5\u4ece EEG \u4fe1\u53f7\u4e2d\u89e3\u7801\u51fa\u4e0d\u540c\u7c92\u5ea6\u7684\u6837\u672c\u8bed\u4e49\u4fe1\u606f\u548c\u50cf\u7d20\u8bed\u4e49\u4fe1\u606f\uff0c\u6700\u540e\u901a\u8fc7\u8f93\u5165\u5df2\u9884\u8bad\u7ec3\u7684\u6269\u6563\u6a21\u578b\u53ef\u4ee5\u91cd\u5efa\u89c6\u89c9\u611f\u77e5\u7684\u56fe\u50cf\u3002\u5176\u4e2d\uff0c\u6837\u672c\u7ea7\u522b\u7684\u8bed\u4e49\u4fe1\u606f\u63d0\u4f9b\u4e86\u89c2\u770b\u56fe\u50cf\u4e2d\u4e3b\u8981\u7c7b\u522b\u6216\u8005\u603b\u4f53\u63cf\u8ff0\u7b49\u7c97\u7c92\u5ea6\u4fe1\u606f\uff0c\u8fd9\u4e9b\u4fe1\u606f\u53ef\u4ee5\u6bd4\u8f83\u51c6\u786e\u5730\u63d0\u53d6\u4e0e\u89e3\u7801\uff1b\u50cf\u7d20\u7ea7\u522b\u7684\u8bed\u4e49\u4fe1\u606f\u5219\u63d0\u4f9b\u4e86\u89c2\u770b\u56fe\u50cf\u7684\u989c\u8272\u3001\u4f4d\u7f6e\u3001\u5f62\u72b6\u7b49\u7ec6\u7c92\u5ea6\u4fe1\u606f\uff0c\u8fd9\u4e9b\u4fe1\u606f\u8f83\u96be\u4ee5\u63d0\u53d6\uff0c\u4f46\u5bf9\u91cd\u5efa\u56fe\u7247\u7684\u7ec6\u8282\u975e\u5e38\u91cd\u8981\u3002<\/p>\n\n\n\n

<\/p>\n\n\n\n

\"\u56fe5\uff1aNeuroImagen
\u56fe5\uff1aNeuroImagen \u591a\u7ea7\u89e3\u7801\u5927\u8111\u4fe1\u53f7\u91cd\u5efa\u611f\u77e5\u56fe\u50cf<\/figcaption><\/figure>\n\n\n\n

\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cNeuroImagen \u5728\u6839\u636e EEG \u4fe1\u53f7\u91cd\u5efa\u89c6\u89c9\u56fe\u50cf\u7684\u8bed\u4e49\u51c6\u786e\u5ea6\u3001\u56fe\u7247\u8d28\u91cf\u3001\u7ed3\u6784\u51c6\u786e\u6027\u7b49\u65b9\u9762\u4e0a\u5747\u4f18\u4e8e\u5176\u5b83\u524d\u6cbf\u7684\u91cd\u5efa\u65b9\u6cd5\u3002\u8fd9\u9879\u7814\u7a76\u521d\u6b65\u9a8c\u8bc1\u4e86\u5c06\u4eba\u7c7b\u89c6\u89c9\u8ba4\u77e5\u4e0e\u590d\u6742\u7684\u8111\u7535\u4fe1\u53f7\u8054\u7cfb\u8d77\u6765\u7684\u53ef\u884c\u6027\uff0c\u8fdb\u800c\u6709\u53ef\u80fd\u5e2e\u52a9\u90a3\u4e9b\u56e0\u4e3a\u795e\u7ecf\u7cfb\u7edf\u53d7\u635f\u800c\u5931\u53bb\u89c6\u89c9\u529f\u80fd\u7684\u4eba\u6062\u590d\u90e8\u5206\u89c6\u89c9\u80fd\u529b\u3002\u7814\u7a76\u5458\u4eec\u9884\u671f\u8fd9\u4e9b\u53d1\u73b0\u5c06\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\u3001\u8ba4\u77e5\u79d1\u5b66\u548c\u795e\u7ecf\u79d1\u5b66\u4e4b\u95f4\u7684\u5408\u4f5c\uff0c\u63a2\u7d22\u4eba\u7c7b\u89c6\u89c9\u8ba4\u77e5\u8fc7\u7a0b\u4e4b\u8c1c\u3002<\/p>\n\n\n\n

\u5f00\u6e90\u5de5\u5177<\/h2>\n\n\n\n

PromptBench: \u9996\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u793a\u9c81\u68d2\u6027\u7684\u8bc4\u6d4b\u57fa\u51c6<\/h3>\n\n\n\n
\"paper<\/figure>\n\n\n\n

\u6587\u7ae0\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2306.04528<\/p>\n\n\n\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/promptbench<\/p>\n\n\n\n

\u6240\u6709\u5927\u6a21\u578b\u8bc4\u6d4b\u7684\u7814\u7a76\u6c47\u603b\uff1allm-eval.github.io<\/p>\n\n\n\n

\u4f5c\u4e3a\u8fde\u63a5\u4eba\u7c7b\u4e0e\u5927\u6a21\u578b\u7684\u6865\u6881\uff0c\u5927\u6a21\u578b\u5bf9 \u201cPrompt (\u63d0\u793a\u8bcd)\u201c\u7a76\u7adf\u6709\u591a\u654f\u611f\uff1f\u540c\u6837\u7684 prompt\uff0c\u53ef\u80fd\u5199\u9519\u4e2a\u5355\u8bcd\u3001\u5199\u6cd5\u4e0d\u4e00\u6837\uff0c\u90fd\u4f1a\u51fa\u73b0\u4e0d\u4e00\u6837\u7684\u7ed3\u679c\u3002\u5230\u5e95\u5e94\u8be5\u5982\u4f55\u5199\u5408\u9002\u7684\u63d0\u793a\u8bcd\uff1f<\/p>\n\n\n\n

\u4e3a\u4e86\u5c1d\u8bd5\u56de\u7b54\u8fd9\u4e9b\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u6784\u5efa\u4e86\u9996\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u793a\u9c81\u68d2\u6027\u7684\u8bc4\u6d4b\u57fa\u51c6 PromptBench\uff0c\u4ee5\u6df1\u5165\u63a2\u7a76\u5927\u6a21\u578b\u5728\u5904\u7406\u5bf9\u6297\u63d0\u793a\uff08adversarial prompts\uff09\u7684\u9c81\u68d2\u6027\u3002\u7814\u7a76\u8fd8\u5229\u7528 Attention \u201c\u53ef\u89c6\u5316\u5206\u6790\u201d\u4e86\u5bf9\u6297\u63d0\u793a\u7684\u8f93\u5165\u5173\u6ce8\u5206\u5e03\uff0c\u5e76\u4e14\u5bf9\u4e0d\u540c\u6a21\u578b\u4ea7\u751f\u7684\u5bf9\u6297\u63d0\u793a\u8fdb\u884c\u4e86\u201c\u8fc1\u79fb\u6027\u5206\u6790\u201d\uff0c\u6700\u540e\u5bf9\u9c81\u68d2\u63d0\u793a\u548c\u654f\u611f\u63d0\u793a\u7684\u8bcd\u9891\u8fdb\u884c\u4e86\u5206\u6790\uff0c\u4ee5\u5e2e\u52a9\u7ec8\u7aef\u7528\u6237\u66f4\u597d\u5730\u5199\u51fa prompt\u3002<\/p>\n\n\n\n

\u7814\u7a76\u5f97\u5230\u4e86\u51e0\u4e2a\u5173\u952e\u7684\u7ed3\u679c\u3002\u9996\u5148\uff0c\u201c\u4e0d\u540c\u79cd\u7c7b\u7684\u653b\u51fb\u7684\u6709\u6548\u6027\u5dee\u8ddd\u5f88\u5927\u201c\uff0c\u5176\u4e2d word-level \u7684\u653b\u51fb\u6700\u5f3a\uff0c\u5bfc\u81f4\u6240\u6709\u6570\u636e\u96c6\u7684\u5e73\u5747\u6027\u80fd\u4e0b\u964d33%\u3002\u5b57\u7b26\u7ea7\u522b\u7684\u653b\u51fb\u6392\u540d\u7b2c\u4e8c\uff0c\u5bfc\u81f4\u5927\u90e8\u5206\u6570\u636e\u96c6\u7684\u6027\u80fd\u4e0b\u964d20%\u3002UL2 \u7684\u9c81\u68d2\u6027\u660e\u663e\u4f18\u4e8e\u5176\u4ed6\u6a21\u578b\uff0c\u5176\u6b21\u662f T5 \u548c ChatGPT\uff0cVicuna \u7684\u9c81\u68d2\u6027\u6700\u5dee\u3002UL2\u3001T5 \u548c ChatGPT \u7684\u9c81\u68d2\u6027\u5728\u5404\u4e2a\u6570\u636e\u96c6\u4e2d\u90fd\u6709\u6240\u4e0d\u540c\uff0cUL2 \u548c T5 \u5728\u60c5\u611f\u5206\u7c7b(SST-2)\u3001\u5927\u90e8\u5206 NLI \u4efb\u52a1\u4ee5\u53ca\u9605\u8bfb\u7406\u89e3\uff08SQuAD V2\uff09\u7684\u653b\u51fb\u4e2d\u8868\u73b0\u51fa\u8f83\u597d\u7684\u9c81\u68d2\u6027\u3002\u5c11\u6837\u672c\u63d0\u793a\u7684\u9c81\u68d2\u6027\u5728\u6240\u6709\u6570\u636e\u96c6\u4e0a\u90fd\u8981\u4f18\u4e8e\u96f6\u6837\u672c\u63d0\u793a\u3002\u6b64\u5916\uff0c\u867d\u7136 Task-oriented \u7684\u63d0\u793a\u5728\u603b\u4f53\u9c81\u68d2\u6027\u4e0a\u7a0d\u5fae\u4f18\u4e8e Role-oriented \u63d0\u793a\uff0c\u4f46\u4e24\u8005\u5728\u4e0d\u540c\u7684\u6570\u636e\u96c6\u548c\u4efb\u52a1\u4e2d\u5404\u6709\u4f18\u52bf\u3002<\/p>\n\n\n\n

\"\u56fe6\uff1aPromptBench
\u56fe6\uff1aPromptBench \u6982\u89c8\uff08\u5de6\u56fe\uff09\uff0cprompt \u653b\u51fb\u793a\u610f\u56fe\uff08\u53f3\u56fe\uff09<\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u7814\u7a76\u5458\u4eec\u8fd8\u8fdb\u884c\u4e86\u53ef\u8fc1\u79fb\u6027\u5206\u6790\u3001\u8bcd\u9891\u5206\u6790\u7b49\uff0c\u4ee5\u5168\u9762\u4e86\u89e3\u5927\u6a21\u578b\u5bf9\u63d0\u793a\u7684\u5bf9\u6297\u9c81\u68d2\u6027\u3002\u6700\u540e\u7814\u7a76\u5458\u4e5f\u63d0\u51fa\u4e86\u4e00\u4e9b\u53ef\u80fd\u7684\u5e94\u5bf9\u7b56\u7565\uff1a<\/p>\n\n\n\n

1. \u8f93\u5165\u9884\u5904\u7406\uff1a\u76f4\u63a5\u68c0\u6d4b\u548c\u5904\u7406\u53ef\u80fd\u7684\u5bf9\u6297\u6837\u672c\uff0c\u5982\u68c0\u6d4b\u9519\u522b\u5b57\u3001\u65e0\u5173\u7684\u5e8f\u5217\uff0c\u5e76\u63d0\u9ad8\u63d0\u793a\u7684\u6e05\u6670\u5ea6\u548c\u7b80\u6d01\u5ea6\u3002<\/p>\n\n\n\n

2. \u5728\u9884\u8bad\u7ec3\u4e2d\u5305\u542b\u4f4e\u8d28\u91cf\u6570\u636e\uff1a\u4f4e\u8d28\u91cf\u6570\u636e\u53ef\u4ee5\u4f5c\u4e3a\u53ef\u80fd\u7684\u5bf9\u6297\u6837\u672c\uff0c\u5728\u9884\u8bad\u7ec3\u4e2d\u5305\u542b\u4f4e\u8d28\u91cf\u6570\u636e\u53ef\u80fd\u4f1a\u5bf9\u591a\u6837\u5316\u7684\u8f93\u5165\u6709\u66f4\u597d\u7684\u7406\u89e3\u3002<\/p>\n\n\n\n

3. \u63a2\u7d22\u6539\u8fdb\u5fae\u8c03\u65b9\u6cd5\uff1a\u7814\u7a76\u66f4\u4f73\u7684\u5fae\u8c03\u6280\u672f\u53ef\u80fd\u4f1a\u63d0\u9ad8\u9c81\u68d2\u6027\u3002\u6b63\u5982\u7814\u7a76\u4e4b\u524d\u5c55\u793a\u7684\u4e00\u4e9b\u60c5\u51b5\uff0c\u6bd4\u5982 T5 \u548c UL2 \u6a21\u578b\u6bd4 ChatGPT \u7684\u9c81\u68d2\u6027\u66f4\u597d\uff0c\u8fd9\u6697\u793a\u4e86\u5927\u89c4\u6a21\u76d1\u7763\u5fae\u8c03\u7684\u6f5c\u5728\u4f18\u52bf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6b22\u8fce\u9605\u8bfb\u6211\u4eec\u7684\u65b0\u680f\u76ee\u2014\u2014\u201c\u79d1\u7814\u4e0a\u65b0\u201d\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\u671f\u5185\u5bb9\u901f\u89c8 01. \u5f3a\u53ef\u63a7\u89c6\u9891\u751f\u6210\u6a21\u578b DragNUWA 02. LLM Retriever\uff1a\u901a\u8fc7\u5b9a\u5236\u5316\u6837\u672c\u68c0\u7d22\u5668\u6765\u63d0\u9ad8\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u6548\u679c 03. \u89e3\u7801\u5927\u8111\u4fe1\u53f7\u91cd\u5efa\u89c6\u89c9\u611f\u77e5\u56fe\u50cf 04. PromptBench\uff1a\u9996\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u793a\u9c81\u68d2\u6027\u7684\u8bc4\u6d4b\u57fa\u51c6 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2308.08089 \u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/project\/dragnuwa\/ \u5728\u4eba\u5de5\u667a\u80fd\u4e0e\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u9886\u57df\u4e0d\u65ad\u53d6\u5f97\u7a81\u7834\u7684\u4eca\u5929\uff0c\u89c6\u9891\u751f\u6210\u6280\u672f\u5df2\u6210\u4e3a\u9886\u57df\u5185\u7684\u7814\u7a76\u7126\u70b9\u3002\u5c3d\u7ba1\u4f20\u7edf\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u5982 NUWA\u3001Phenaki \u548c Gen-2\uff0c\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5b9e\u73b0\u4e86\u57fa\u4e8e\u6587\u672c\u7684\u89c6\u9891\u751f\u6210\uff0c\u4f46\u5728\u7ec6\u7c92\u5ea6\u63a7\u5236\u65b9\u9762\u4ecd\u6709\u4e0d\u8db3\u3002\u800c\u5728\u7535\u5f71\u5236\u4f5c\u548c\u77ed\u89c6\u9891\u521b\u4f5c\u9886\u57df\uff0c\u5bfc\u6f14\u548c\u521b\u4f5c\u8005\u5bf9\u7cbe\u7ec6\u7684\u8fd0\u955c\u4ee5\u53ca\u590d\u6742\u4e14\u53ef\u63a7\u7684\u89d2\u8272\u52a8\u4f5c\u90fd\u6709\u7740\u6781\u9ad8\u7684\u8981\u6c42\uff0c\u53ef\u662f\u8fd9\u4e9b\u9700\u6c42\u76ee\u524d\u5374\u96be\u4ee5\u901a\u8fc7\u73b0\u6709\u7684\u89c6\u9891\u751f\u6210\u6a21\u578b\u5b9e\u73b0\u3002 \u4e3a\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u56e2\u961f\u7814\u53d1\u4e86\u5f3a\u53ef\u63a7\u89c6\u9891\u751f\u6210\u6a21\u578b DragNUWA\uff0c\u9769\u65b0\u4e86\u5f53\u524d\u7684\u89c6\u89c9\u4f53\u9a8c\u3002\u53d7\u5230 DragGAN \u91c7\u7528\u62d6\u62fd\u65b9\u5f0f\u7f16\u8f91\u56fe\u50cf\u7684\u542f\u53d1\uff0cDragNUWA \u5141\u8bb8\u7528\u6237\u76f4\u63a5\u5728\u56fe\u50cf\u4e2d\u62d6\u62fd\u7269\u4f53\u6216\u80cc\u666f\uff0c\u7136\u540e\u6a21\u578b\u4f1a\u81ea\u52a8\u5c06\u62d6\u62fd\u64cd\u4f5c\u8f6c\u5316\u4e3a\u5408\u7406\u7684\u8fd0\u955c\u6216\u7269\u4f53\u7684\u8fd0\u52a8\uff0c\u5e76\u751f\u6210\u76f8\u5e94\u7684\u89c6\u9891\u3002\u901a\u8fc7\u878d\u5408\u6587\u672c\u3001\u56fe\u50cf\u548c\u8f68\u8ff9\u4e09\u4e2a\u5173\u952e\u63a7\u5236\u56e0\u7d20\uff0cDragNUWA \u5728\u8bed\u4e49\u3001\u7a7a\u95f4\u548c\u65f6\u95f4\u4e09\u4e2a\u5c42\u9762\u5747\u5b9e\u73b0\u4e86\u5353\u8d8a\u7684\u53ef\u63a7\u89c6\u9891\u751f\u6210\u80fd\u529b\u3002 DragNUWA \u652f\u6301\u4e09\u4e2a\u5173\u952e\u63a7\u5236\u8f93\u5165\uff1a\u6587\u672c\uff08p\uff09,\u56fe\u50cf\uff08s\uff09\u548c\u8f68\u8ff9\uff08g\uff09\u3002\u4e3a\u4e86\u89e3\u51b3\u5f53\u524d\u4ec5\u6709\u89c6\u9891\u6587\u672c\u5bf9\u6570\u636e\u7684\u96be\u9898\uff0cDragNUWA \u5f15\u5165\u4e86\u8f68\u8ff9\u91c7\u6837\u5668\uff08Trajectory Sampler, TS\uff09\u4ece\u5f00\u653e\u9886\u57df\u89c6\u9891\u7684\u5149\u6d41\u4e2d\u63d0\u53d6\u8f68\u8ff9\u3002\u6240\u63d0\u53d6\u7684\u8f68\u8ff9\u3001\u521d\u59cb\u5e27\u56fe\u50cf\u548c\u6807\u6ce8\u6587\u672c\u5c06\u901a\u8fc7\u591a\u5c3a\u5ea6\u878d\u5408\u5668\uff08Multiscale Fusion\uff0cMF\uff09\u878d\u5165\u5230 UNet \u7684\u6bcf\u4e2a block\u3002\u800c\u4e3a\u4e86\u89e3\u51b3\u8f68\u8ff9\u7a00\u758f\u7684\u95ee\u9898\uff0cDragNUWA \u4f1a\u901a\u8fc7\u81ea\u9002\u5e94\u8bad\u7ec3\uff08Adaptive Training\uff0cAT\uff09\u9010\u6b65\u4ece\u5b8c\u6574\u7684\u5149\u6d41\u5207\u6362\u5230\u7a00\u758f\u7684\u8f68\u8ff9\uff0c\u4ee5\u786e\u4fdd\u89c6\u9891\u751f\u6210\u7684\u7a33\u5b9a\u6027\u3002 \u8ba9\u6211\u4eec\u60f3\u8c61\u4e00\u4e0b\uff0c\u5f53\u4f60\u5728\u6b23\u8d4f\u4e00\u5e45\u7f8e\u4e3d\u7684\u827a\u672f\u4f5c\u54c1\u65f6\uff0c\u901a\u8fc7 DragNUWA \u7684\u529b\u91cf\uff0c\u5b83\u80fd\u591f\u6309\u7167\u4f60\u7684\u610f\u613f\u5c55\u73b0\u51fa\u751f\u52a8\u7684\u753b\u9762\uff1b\u6216\u8005\u5728\u62cd\u6444\u4e00\u90e8\u52a8\u4f5c\u7247\u65f6\uff0c\u8ba9\u4e3b\u89d2\u5728\u5173\u952e\u65f6\u523b\u201c\u62e5\u6709\u201d\u9707\u64bc\u4eba\u5fc3\u7684\u6b66\u827a\u3002\u8fd9\u4e9b\u90fd\u5c06\u5f97\u76ca\u4e8e DragNUWA \u5f3a\u5927\u7684\u53ef\u63a7\u89c6\u9891\u751f\u6210\u80fd\u529b\u3002DragNUWA \u4e3a\u5305\u62ec\u5bfc\u6f14\u3001\u6444\u5f71\u5e08\u548c\u89c6\u9891\u521b\u4f5c\u8005\u4eec\u5728\u5185\u7684\u6574\u4e2a\u89c6\u89c9\u4f5c\u54c1\u9886\u57df\u6253\u5f00\u4e86\u5168\u65b0\u7684\u53ef\u80fd\u6027\uff0c\u53ef\u80fd\u5728\u672a\u6765\u628a\u89c6\u9891\u751f\u6210\u6280\u672f\u5e26\u5165\u4e00\u4e2a\u5168\u65b0\u7684\u53ef\u63a7\u65f6\u4ee3\u3002 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2307.07164 \u9879\u76ee\u94fe\u63a5\uff1ahttps:\/\/github.com\/microsoft\/LMOps \u5982\u4eca\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5c55\u73b0\u51fa\u4e86\u60ca\u4eba\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u80fd\u529b\uff1a\u4e0d\u9700\u8981\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u53c2\u6570\u8fdb\u884c\u5fae\u8c03\uff0c\u53ea\u9700\u8981\u6446\u653e\u51e0\u4e2a\u4e0a\u4e0b\u6587\u6837\u672c\uff0c\u8bed\u8a00\u6a21\u578b\u5c31\u53ef\u4ee5\u5b66\u4f1a\u6267\u884c\u8fd9\u4e2a\u4efb\u52a1\u3002\u4f46\u76f8\u5173\u7814\u7a76\u8868\u660e\uff0c\u8bed\u8a00\u6a21\u578b\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u6548\u679c\u5bf9\u4e8e\u6837\u672c\u7684\u9009\u62e9\u975e\u5e38\u654f\u611f\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u81ea\u52a8\u4ece\u6837\u672c\u6c60\u9009\u62e9\u5408\u9002\u7684\u6837\u672c\u5c31\u6210\u4e3a\u4e86\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u95ee\u9898\u3002 \u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5728\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\u7684\u7814\u7a76\u8fc7\u7a0b\u4e2d\u53d1\u73b0\uff0c\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u7684\u53cd\u9988\u4fe1\u53f7\u53ef\u4ee5\u4f5c\u4e3a\u4e0a\u4e0b\u6587\u6837\u672c\u9009\u62e9\u7684\u53ef\u9760\u4f9d\u636e\u3002\u4e0d\u540c\u7684\u6837\u672c\u5bf9\u4e8e\u8bed\u8a00\u6a21\u578b\u8f93\u51fa\u6b63\u786e\u7b54\u6848\u7684\u5f71\u54cd\u5e76\u4e0d\u76f8\u540c\uff0c\u90a3\u4e9b\u80fd\u63d0\u9ad8\u6b63\u786e\u7b54\u6848\u6982\u7387\u7684\u6837\u672c\u53ef\u4ee5\u88ab\u89c6\u4e3a\u9ad8\u8d28\u91cf\u7684\u4e0a\u4e0b\u6587\u6837\u672c\u3002\u57fa\u4e8e\u8fd9\u4e00\u89c2\u5bdf\uff0c\u7814\u7a76\u5458\u4eec\u5229\u7528\u8bed\u8a00\u6a21\u578b\u7684\u53cd\u9988\u4fe1\u53f7\u6765\u8bad\u7ec3\u5b9a\u5236\u5316\u7684\u6837\u672c\u68c0\u7d22\u5668 LLM Retriever\uff0c\u4ee5\u63d0\u9ad8\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u6548\u679c\u3002 \u5177\u4f53\u6765\u8bf4\uff0c\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u9996\u5148\u7528\u8bed\u8a00\u6a21\u578b\u5bf9\u6bcf\u4e00\u4e2a\u5019\u9009\u7684\u4e0a\u4e0b\u6587\u6837\u672c\u6253\u5206\uff0c\u80fd\u591f\u4f7f\u5f97\u6b63\u786e\u7b54\u6848\u6982\u7387\u6700\u5927\u7684\u6837\u672c\u88ab\u89c6\u4e3a\u6b63\u4f8b\uff0c\u5176\u5b83\u7684\u88ab\u89c6\u4e3a\u8d1f\u4f8b\u3002\u7136\u540e\u5229\u7528\u8fd9\u4e9b\u81ea\u52a8\u6807\u6ce8\u7684\u6570\u636e\u6765\u8bad\u7ec3\u4e00\u4e2a\u5956\u52b1\u6a21\u578b\uff0c\u4ee5\u6355\u6349\u66f4\u52a0\u7ec6\u7c92\u5ea6\u7684\u76d1\u7763\u4fe1\u53f7\uff0c\u518d\u5bf9\u5956\u52b1\u6a21\u578b\u8fdb\u884c\u77e5\u8bc6\u84b8\u998f\uff0c\u5f97\u5230\u4e00\u4e2a\u9ad8\u6548\u7684\u68c0\u7d22\u5668 LLM Retriever\u3002\u8fd9\u4e00\u8bad\u7ec3\u6d41\u7a0b\u53ef\u4ee5\u8fed\u4ee3\u8fdb\u884c\uff0c\u4ece\u800c\u4e0d\u65ad\u63d0\u9ad8\u68c0\u7d22\u5668\u7684\u6548\u679c\u3002 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