{"id":35777,"date":"2024-12-31T14:00:21","date_gmt":"2024-12-31T06:00:21","guid":{"rendered":"https:\/\/17aitech.com\/?p=35777"},"modified":"2024-12-31T14:00:21","modified_gmt":"2024-12-31T06:00:21","slug":"%e8%87%aa%e5%8a%a8%e5%8c%96%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%a0%94%e7%a9%b6mlr-copilot%ef%bc%9a%e5%88%a9%e7%94%a8%e5%a4%a7%e5%9e%8b%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e8%bf%9b%e8%a1%8c%e7%a0%94","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35777","title":{"rendered":"\u81ea\u52a8\u5316\u673a\u5668\u5b66\u4e60\u7814\u7a76MLR-Copilot\uff1a\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u7814\u7a76\u52a0\u901f"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-09-25\" target=\"_blank\">\u81ea\u52a8\u5316\u673a\u5668\u5b66\u4e60\u7814\u7a76MLR-Copilot\uff1a\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u7814\u7a76\u52a0\u901f<\/a><\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-40a72a8ade9b76da9456207f2a65ad88.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-40a72a8ade9b76da9456207f2a65ad88.png\"><\/a><\/section>\n<blockquote data-author-name=\"\" data-content-utf8-length=\"166\" data-source-title=\"\" data-type=\"2\" data-url=\"\">\n<section>\n<p>AIxiv\u4e13\u680f\u662f<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>\u53d1\u5e03\u5b66\u672f\u3001\u6280\u672f\u5185\u5bb9\u7684\u680f\u76ee\u3002\u8fc7\u53bb\u6570\u5e74\uff0c<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>AIxiv\u4e13\u680f\u63a5\u6536\u62a5\u9053\u4e862000\u591a\u7bc7\u5185\u5bb9\uff0c\u8986\u76d6\u5168\u7403\u5404\u5927\u9ad8\u6821\u4e0e\u4f01\u4e1a\u7684\u9876\u7ea7\u5b9e\u9a8c\u5ba4\uff0c\u6709\u6548\u4fc3\u8fdb\u4e86\u5b66\u672f\u4ea4\u6d41\u4e0e\u4f20\u64ad\u3002\u5982\u679c\u60a8\u6709\u4f18\u79c0\u7684\u5de5\u4f5c\u60f3\u8981\u5206\u4eab\uff0c\u6b22\u8fce\u6295\u7a3f\u6216\u8005\u8054\u7cfb\u62a5\u9053\u3002\u6295\u7a3f\u90ae\u7bb1\uff1aliyazhou@jiqizhixin.com\uff1bzhaoyunfeng@jiqizhixin.com<\/p>\n<\/section>\n<\/blockquote>\n<p><strong>\u8be5\u8bba\u6587\u7684\u7b2c\u4e00\u4f5c\u8005\u53ca\u6307\u5bfc\u4f5c\u8005\u5747\u6765\u81ea\u5fb7\u514b\u8428\u65af\u5927\u5b66\u8fbe\u62c9\u65af\u5206\u6821\uff0c\u7b2c\u4e00\u4f5c\u8005\u4e3a\u535a\u58eb\u751f Ruochen Li\uff0c\u6307\u5bfc\u4f5c\u8005\u4e3a\u5176\u535a\u58eb\u751f\u5bfc\u5e08 Xinya Du\uff0c\u4e13\u6ce8\u4e8e<mark data-type=\"tech_tasks\" data-id=\"c8ff5114-6cbb-49ca-8a89-3ee2826be0b4\">\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/mark>\u3001<mark data-type=\"tech_methods\" data-id=\"01946acc-d031-4c0e-909c-f062643b7273\">\u6df1\u5ea6\u5b66\u4e60<\/mark>\u548c\u5927<mark data-type=\"tech_tasks\" data-id=\"bf35ef94-d956-4033-a533-0c0828308c36\">\u8bed\u8a00\u6a21\u578b<\/mark>\u7684\u7814\u7a76\u3002Xinya Du \u7684\u5de5\u4f5c\u53d1\u8868\u5728\u5305\u62ec ACL\u3001EMNLP \u548c ICLR \u5728\u5185\u7684\u9876\u7ea7<mark data-type=\"tech_tasks\" data-id=\"c8ff5114-6cbb-49ca-8a89-3ee2826be0b4\">\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/mark>\u548c<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u4f1a\u8bae\u4e0a\uff0c\u5176\u95ee\u9898\u751f\u6210\u5de5\u4f5c\u5165\u9009\u6700\u5177\u5f71\u54cd\u529b\u7684 ACL \u8bba\u6587\u3002\u4ed6\u88ab\u8bc4\u4e3a<mark data-type=\"concepts\" data-id=\"3946938d-2b2f-4b48-9ee4-58debad2a6c4\">\u6570\u636e\u79d1\u5b66<\/mark>\u9886\u57df\u7684\u95ea\u4eae\u65b0\u661f\uff0c\u5e76\u83b7\u5f97\u4e86 2024 \u5e74\u7684 NSF CAREER \u5956\u9879\u548c WAIC \u4e91\u5e06\u5956\u3002<\/strong><\/p>\n<p>\u79d1\u5b66\u6280\u672f\u7684\u5feb\u901f\u53d1\u5c55\u8fc7\u7a0b\u4e2d\uff0c<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u7814\u7a76\u4f5c\u4e3a\u521b\u65b0\u7684\u6838\u5fc3\u9a71\u52a8\u529b\uff0c\u9762\u4e34\u7740\u5b9e\u9a8c\u8fc7\u7a0b\u590d\u6742\u3001\u8017\u65f6\u4e14\u6613\u51fa\u9519\uff0c\u7814\u7a76\u8fdb\u5c55\u7f13\u6162\u4ee5\u53ca\u5bf9\u4e13\u95e8\u77e5\u8bc6\u9700\u6c42\u9ad8\u7684\u6311\u6218\u3002\u8fd1\u5e74\u6765\uff0cLLM \u5728\u751f\u6210\u6587\u672c\u548c\u4ee3\u7801\u65b9\u9762\u5c55\u73b0\u51fa\u4e86\u5f3a\u5927\u7684\u80fd\u529b\uff0c\u4e3a\u79d1\u5b66\u7814\u7a76\u5e26\u6765\u4e86\u524d\u6240\u672a\u6709\u7684\u53ef\u80fd\u6027\u3002\u7136\u800c\uff0c\u5982\u4f55\u7cfb\u7edf\u5316\u5730\u5229\u7528\u8fd9\u4e9b\u6a21\u578b\u6765\u52a0\u901f<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u7814\u7a76\u4ecd\u7136\u662f\u4e00\u4e2a\u6709\u5f85\u89e3\u51b3\u7684\u95ee\u9898\u3002\u73b0\u6709\u7684\u7814\u7a76\u5f80\u5f80\u53ea\u5173\u6ce8\u67d0\u4e00\u9636\u6bb5\uff0c\u5982\u751f\u6210\u7814\u7a76\u5047\u8bbe\u6216\u6267\u884c\u9884\u5b9a\u4e49\u7684\u5b9e\u9a8c\uff0c\u672a\u80fd\u6db5\u76d6\u6574\u4e2a\u7814\u7a76\u8fc7\u7a0b\uff0c\u4e5f\u672a\u80fd\u5145\u5206\u89e3\u51b3\u5f53\u524d\u7814\u7a76\u4e2d\u7684\u5177\u4f53\u95ee\u9898\u3002<\/p>\n<p>\u4e3a\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86 MLR-Copilot \u81ea\u52a8\u5316<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u7814\u7a76\u7684\u7814\u7a76\u5e73\u53f0 \/ \u6f14\u793a\u5de5\u5177 (Demonstration)\uff0c\u5229\u7528\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"bf35ef94-d956-4033-a533-0c0828308c36\">\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLM\uff09\u4f5c\u4e3a\u7814\u7a76\u4eba\u5458\u7684 \u201c\u526f\u9a7e\u9a76\u201d\uff0c\u5206\u6790\u7814\u7a76\u8bba\u6587\u3001\u63d0\u53d6\u7814\u7a76\u95ee\u9898\uff0c\u4ee5\u63d0\u51fa\u65b0\u7684\u7814\u7a76\u601d\u8def\u548c\u5b9e\u9a8c\u8ba1\u5212\uff0c\u5e76\u81ea\u52a8\u5316\u6267\u884c\u8fd9\u4e9b\u5b9e\u9a8c\u4ee5\u83b7\u5f97\u7ed3\u679c\u3002MLR-Copilot \u5305\u62ec\u4e09\u4e2a\u9636\u6bb5\uff1a\u7814\u7a76\u601d\u8def\u751f\u6210\u3001\u5b9e\u9a8c\u5b9e\u73b0\u548c\u5b9e\u9a8c\u6267\u884c\u3002\u8be5\u6846\u67b6\u5728\u591a\u9879<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u4efb\u52a1\u4e2d\u6709\u6548\u4fc3\u8fdb\u4e86\u7814\u7a76\u8fdb\u5c55\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-f029b4421e752356beed14acc62e1223.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-f029b4421e752356beed14acc62e1223.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u6e90\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/du-nlp-lab\/MLR-Copilot<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2408.14033<\/p>\n<\/li>\n<li>\n<p>Demo \u94fe\u63a5\uff1ahttps:\/\/huggingface.co\/spaces\/du-lab\/MLR-Copilot<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u65b9\u6cd5\u4ecb\u7ecd<\/strong><\/p>\n<p>MLR-Copilot \u6846\u67b6\u7684\u63d0\u51fa\u65e8\u5728\u901a\u8fc7 LLM \u4ee3\u7406\u81ea\u52a8\u751f\u6210\u548c\u6267\u884c\u7814\u7a76\u601d\u8def\u9a8c\u8bc1\uff0c\u5b9e\u73b0\u79d1\u7814\u8fc7\u7a0b\u7684\u81ea\u52a8\u5316\u3002\u8be5\u6846\u67b6\u4ece\u5355\u7bc7\u79d1\u7814\u8bba\u6587\u51fa\u53d1\uff0c\u6a21\u4eff\u79d1\u7814\u4eba\u5458\u7684\u7814\u7a76\u601d\u8def\uff0c\u6536\u96c6\u4efb\u52a1\u5b9a\u4e49\u5e76\u83b7\u53d6\u5f53\u524d\u7814\u7a76\u5de5\u4f5c\u7684\u6700\u524d\u6cbf\u8fdb\u5c55\uff0c\u4ee5\u63d0\u51fa\u65b0\u7684\u7814\u7a76\u601d\u8def\u5e76\u81ea\u52a8\u5316\u9a8c\u8bc1\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-d524294c23ff6e91ade50af84f713ab9.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-d524294c23ff6e91ade50af84f713ab9.gif\"><\/a><\/p>\n<p>\u8be5\u6846\u67b6\u9996\u5148\u4ece\u8f93\u5165\u7684\u7814\u7a76\u8bba\u6587\u4e2d\u63d0\u53d6\u4efb\u52a1\u5b9a\u4e49\u548c\u7814\u7a76\u7a7a\u767d\uff0c\u7136\u540e\u901a\u8fc7 IdeaAgent \u751f\u6210\u7814\u7a76\u601d\u8def\uff08\u5305\u62ec\u7814\u7a76\u5047\u8bbe\u548c\u5b9e\u9a8c\u8ba1\u5212\uff09\uff0c\u63a5\u7740\u7531 ExperimentAgent \u5b9e\u73b0\u5e76\u6267\u884c\u8fd9\u4e9b\u5b9e\u9a8c\u3002\u5728\u5b9e\u9a8c\u8fc7\u7a0b\u4e2d\uff0c\u6846\u67b6\u4f1a\u6301\u7eed\u89c2\u5bdf\u548c\u8bb0\u5f55\u7ed3\u679c\uff0c\u5fc5\u8981\u65f6\u8fdb\u884c\u8c03\u6574\u548c\u4f18\u5316\uff0c\u6700\u7ec8\u8f93\u51fa\u7ecf\u8fc7\u9a8c\u8bc1\u7684\u7814\u7a76\u6210\u679c\u3002\u8fd9\u79cd\u81ea\u52a8\u5316\u6d41\u7a0b\u663e\u8457\u63d0\u5347\u4e86\u7814\u7a76\u6548\u7387\uff0c\u786e\u4fdd\u4e86\u5b9e\u9a8c\u7684\u53ef\u6267\u884c\u6027\u548c\u7ed3\u679c\u7684\u53ef\u9760\u6027\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-fe8b916dfe60c8c6095b014d9f80c9c1.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-fe8b916dfe60c8c6095b014d9f80c9c1.gif\"><\/a><\/p>\n<p>\u5728 MLR-Copilot \u6846\u67b6\u4e2d\uff0c\u6574\u4e2a\u79d1\u7814\u6d41\u7a0b\u5206\u4e3a\u4e09\u4e2a\u9636\u6bb5\uff1a<\/p>\n<p>1. \u7814\u7a76\u601d\u8def\u751f\u6210\uff1a\u901a\u8fc7 IdeaAgent \u4ece\u73b0\u6709\u7814\u7a76\u8bba\u6587\u4e2d\u751f\u6210\u5047\u8bbe\u548c\u5b9e\u9a8c\u8ba1\u5212\u3002\u7cfb\u7edf\u901a\u8fc7\u5206\u6790\u548c\u63d0\u53d6\u6587\u732e\u4e2d\u7684\u5173\u952e\u4fe1\u606f\uff0c\u63d0\u53d6\u4efb\u52a1\u5b9a\u4e49\u5e76\u8bc6\u522b\u7814\u7a76\u95ee\u9898\uff0c\u5e76\u6839\u636e\u73b0\u6709\u7814\u7a76\u4e2d\u7684\u8d8b\u52bf\u548c\u7814\u7a76\u7a7a\u767d\uff0c\u751f\u6210\u65b0\u7684\u7814\u7a76\u5047\u8bbe\u548c\u5b9e\u9a8c\u8ba1\u5212\uff0c\u5f62\u6210\u521d\u6b65\u7684\u7814\u7a76\u601d\u8def\u3002<\/p>\n<p>2. \u5b9e\u9a8c\u5b9e\u73b0\uff1aExperimentAgent \u5c06\u5b9e\u9a8c\u8ba1\u5212\u8f6c\u5316\u4e3a\u53ef\u6267\u884c\u7684\u5b9e\u9a8c\uff0c\u6839\u636e\u68c0\u7d22\u7684\u539f\u578b\u4ee3\u7801\uff0c\u5e76\u5728\u5fc5\u8981\u65f6\u4ece Hugging Face \u7b49\u5e73\u53f0\u83b7\u53d6\u6a21\u578b\u548c\u6570\u636e\uff0c\u751f\u6210\u5e76\u96c6\u6210\u5b9e\u9a8c\u5b9e\u73b0\u65b9\u6848\u53ca\u642d\u5efa\u5b9e\u9a8c\u73af\u5883\u3002<\/p>\n<p>3. \u5b9e\u9a8c\u6267\u884c\uff1aExperimentAgent \u7ba1\u7406\u5b9e\u9a8c\u7684\u6267\u884c\u8fc7\u7a0b\uff0c\u5728\u81ea\u52a8\u5316\u7684\u57fa\u7840\u4e0a\u7ed3\u5408\u4eba\u7c7b\u53cd\u9988\uff0c\u9010\u6b65\u4f18\u5316\u5b9e\u9a8c\u5b9e\u73b0\u5e76\u8fed\u4ee3\u8c03\u8bd5\uff0c\u5e76\u6700\u7ec8\u8f93\u51fa\u7ecf\u8fc7\u9a8c\u8bc1\u7684\u7814\u7a76\u6210\u679c\uff0c\u63d0\u9ad8\u5b9e\u9a8c\u7684\u6210\u529f\u7387\u548c\u7814\u7a76\u7ed3\u679c\u7684\u53ef\u9760\u6027\u3002<\/p>\n<p><strong>\u5b9e\u9a8c\u4e0e\u8ba8\u8bba<\/strong><\/p>\n<p>\u4e3a\u4e86\u8bc4\u4f30 MLR-Copilot \u6846\u67b6\u7684\u6027\u80fd\uff0c\u8bba\u6587\u4f5c\u8005\u8bbe\u8ba1\u4e86\u4e00\u7cfb\u5217\u5b9e\u9a8c\uff0c\u6db5\u76d6\u4e86\u4e94\u4e2a\u4e0d\u540c\u9886\u57df\u7684<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u4efb\u52a1\u3002\u8fd9\u4e9b\u4efb\u52a1\u5305\u62ec\u4e86\u8bed\u4e49\u6587\u672c\u5173\u8054\u3001\u60c5\u611f\u5206\u6790\u3001\u7279\u5f81\u5206\u7c7b\u4ee5\u53ca<mark data-type=\"tech_tasks\" data-id=\"eae04011-5c50-4f1d-9a84-60b9bbcc5e07\">\u56fe\u50cf\u5206\u7c7b<\/mark>\u7b49\uff0c\u4ee3\u8868\u4e86<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u7814\u7a76\u4e2d\u7684\u5e7f\u6cdb\u5e94\u7528\u573a\u666f\uff0c\u5176\u6570\u636e\u96c6\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\n<p>SemRel\uff1a\u4e00\u4e2a\u5305\u542b\u591a\u8bed\u8a00\u8bed\u4e49\u6587\u672c\u5173\u8054\u4efb\u52a1\u7684\u6570\u636e\u96c6\uff0c\u4f7f\u7528 Pearson \u76f8\u5173\u7cfb\u6570\u4f5c\u4e3a\u8bc4\u4f30\u6807\u51c6\u3002<\/p>\n<\/li>\n<li>\n<p>IMDB 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data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u7814\u7a76\u7684\u7684\u6027\u80fd\uff0c\u8bba\u6587\u4f5c\u8005\u4e3a MLR-Copilot \u6846\u67b6\u91cf\u8eab\u5b9a\u5236\u4e86\u4ee5\u4e0b\u51e0\u4e2a\u8bc4\u4f30\u7ef4\u5ea6\uff1a<\/p>\n<ul>\n<li>\n<p>\u7814\u7a76\u601d\u8def\u7684\u6709\u6548\u6027\uff1a\u5bf9\u7814\u7a76\u601d\u8def\u4e2d\u7684\u5047\u8bbe\u548c\u5b9e\u9a8c\u8bbe\u8ba1\u5206\u522b\u9488\u5bf9\u4e0d\u540c\u6807\u51c6\u8fdb\u884c\u8fdb\u884c\u8bc4\u4f30\u3002\u6b64\u8bc4\u4f30\u5305\u542b\u4eba\u5de5\u8bc4\u4f30\u548c LLM \u8bc4\u5206\u5458\u81ea\u52a8\u8bc4\u4f30\uff0c\u5e76\u4e0e\u4ec5\u4f7f\u7528\u6838\u5fc3\u8bba\u6587\u4f5c\u4e3a\u63d0\u793a\u7684<mark data-type=\"concepts\" 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src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-f90c0ea5cfcfd770c939b14d53487b40.png\"><\/a><\/p>\n<p>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff1a<\/p>\n<ul>\n<li>\n<p>\u5728\u7814\u7a76\u601d\u8def\u751f\u6210\u9636\u6bb5\uff0cMLR-Copilot \u751f\u6210\u7684\u5047\u8bbe\u5728\u6e05\u6670\u5ea6\u3001\u6709\u6548\u6027\u3001\u4e25\u8c28\u6027\u3001\u521b\u65b0\u6027\u548c\u666e\u904d\u6027\u65b9\u9762\u5747\u4f18\u4e8e\u57fa\u7ebf\u6a21\u578b\u3002\u4e3b\u89c2\u8bc4\u6d4b\u663e\u793a\u51fa MLR-Copilot \u751f\u6210\u7684\u5b9e\u9a8c\u5047\u8bbe\u548c\u8bbe\u8ba1\u66f4\u7b26\u5408\u4eba\u7c7b\u7814\u7a76\u8005\u7684\u9884\u671f\uff0c\u8f83\u4f4e\u7684\u76f8\u4f3c\u5ea6\u4e5f\u95f4\u63a5\u4f53\u73b0\u5176\u521b\u65b0\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728\u5b9e\u9a8c\u5b9e\u73b0\u548c\u6267\u884c\u9636\u6bb5\uff0cMLR-Copilot 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data-id=\"f6e8725e-6ffd-494f-91d1-ba8214e76434\">\u4eba\u673a\u4ea4\u4e92<\/mark>\u63d0\u9ad8\u5b9e\u9a8c\u7684\u6210\u529f\u7387\u548c\u7814\u7a76\u6210\u679c\u7684\u53ef\u9760\u6027\u3002\u672a\u6765\u7684\u7814\u7a76\u53ef\u4ee5\u8fdb\u4e00\u6b65\u6269\u5c55\u5e94\u7528\u573a\u666f\uff0c\u5e76\u63a2\u7d22\u66f4\u591a\u590d\u6742\u7684\u7814\u7a76\u4efb\u52a1\u3002<\/p>\n<p>\u66f4\u591a\u7814\u7a76\u7ec6\u8282\uff0c\u53ef\u53c2\u8003\u539f\u8bba\u6587\u3002<\/p>\n<p><em><sup>\u53c2\u8003\u6587\u732e\uff1a<\/sup><\/em><\/p>\n<p><sup><em>[1] Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, and Sung Ju Hwang. Researchagent: Iterative research idea generation over scientific literature with large language models. arXiv preprint arXiv:2404.07738, 2024.<\/em><\/sup><\/p>\n<p><sup><em>[2] John Smith, Jane Doe, and Wei Zhang. Mlagentbench2023: A framework for automating research idea generation and implementation using LLM agents. Journal of Computational Research, 45 (3):123\u2013145, 2023.<\/em><\/sup><\/p>\n<p><sup><em>[3] Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, and Graham Neubig. Prompt2model: Generating deployable models from natural language instructions. CoRR, abs\/2308.12261, 2023.<\/em><\/sup><\/p>\n<p><sup><em>[4] Semantic Scholar. URL https:\/\/www.semanticscholar.org\/product\/api.<\/em><\/sup><\/p>\n<p><em><sup>[5] HuggingFace. 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