{"id":52016,"date":"2024-08-15T21:56:40","date_gmt":"2024-08-15T13:56:40","guid":{"rendered":"https:\/\/swarma.org\/?p=52016"},"modified":"2024-08-15T21:56:40","modified_gmt":"2024-08-15T13:56:40","slug":"%e5%a4%9a%e6%a8%a1%e6%80%81%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%b9%bb%e8%a7%89%e9%97%ae%e9%a2%98%e5%9b%a0%e6%9e%9c%e5%88%86%e6%9e%90%e4%b8%8e%e5%9b%a0%e6%9e%9c%e8%83%bd%e5%8a%9b%e6%8e%a2%e7%a9%b6%e4%b8%a8","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=52016","title":{"rendered":"\u591a\u6a21\u6001\u5927\u6a21\u578b\u5e7b\u89c9\u95ee\u9898\u56e0\u679c\u5206\u6790\u4e0e\u56e0\u679c\u80fd\u529b\u63a2\u7a76\u4e28\u5468\u65e5\u76f4\u64ad\u00b7\u56e0\u679c\u79d1\u5b66\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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\u672c\u6b21\u662f\u56e0\u679c\u79d1\u5b66\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u8bfb\u4e66\u4f1a<\/a>\u7684<\/span><\/strong>\u7b2c<\/span><\/strong>\u4e94\u671f\u3002\u8fd1\u671f\u591a\u6a21\u6001\u5927\u6a21\u578b\uff08MLLMs\uff09\u6709\u8bb8\u591a\u53d1\u5c55\uff0c\u4e5f\u83b7\u5f97\u4e86\u5e7f\u6cdb\u5173\u6ce8\u3002\u4f46\u662f\u591a\u6a21\u6001\u5927\u6a21\u578b\u5b58\u5728\u7684\u5e7b\u89c9\u95ee\u9898\u4e0e\u5355\u6a21\u6001\u504f\u89c1\u5982\u4f55\u7f13\u89e3\uff1f\u591a\u6a21\u6001\u7684\u56e0\u679c\u80fd\u529b\u5230\u5e95\u600e\u4e48\u6837\uff1f\u6211\u4eec\u5c06\u7531\u6765\u81ea\u5317\u4eac\u5927\u5b66\u667a\u80fd\u5b66\u9662\u7684\u535a\u58eb\u751f\u9648\u7f8e\u742a\u6001\u5927\u6a21\u578b\u5e7b\u89c9\u95ee\u9898\u56e0\u679c\u5206\u6790\u4e0e\u56e0\u679c\u80fd\u529b\u63a2\u7a76\u7684\u5185\u5bb9\u3002<\/span><\/strong><\/section>\n<\/section>\n
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\u591a\u6a21\u6001\u5927\u6a21\u578b\u5e7b\u89c9\u95ee\u9898\u56e0\u679c\u5206\u6790<\/span><\/strong><\/span><\/h3>\n
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\u591a\u6a21\u6001\u5927\u6a21\u578b\u56e0\u679c\u80fd\u529b\u63a2\u7a76<\/span><\/strong><\/span><\/h3>\n
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    \u6570\u636e\u96c6\u6784\u5efa & \u65b9\u6cd5<\/p>\n<\/li>\n

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    \u5b9e\u9a8c\u7ed3\u679c<\/p>\n<\/li>\n

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    CELLO\uff1a\u591a\u6a21\u6001\u5927\u6a21\u578b\u56e0\u679c\u63a8\u7406\u80fd\u529b\u8bc4\u6d4b\u6570\u636e\u96c6<\/span><\/strong><\/span><\/p>\n

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      \u80cc\u666f\u4ecb\u7ecd<\/p>\n<\/li>\n

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      \u9648\u7f8e\u742a<\/span><\/strong>\uff0c\u5317\u4eac\u5927\u5b66\u667a\u80fd\u5b66\u9662\u535a\u58eb\u751f\uff0c\u5bfc\u5e08\u4e3a\u5f20\u5ca9\u6559\u6388\u3002\u7814\u7a76\u5174\u8da3\u4e3a\u5927\u6a21\u578b\u548c\u56e0\u679c\u63a8\u7406\uff0c\u5728 ACL\u3001COLING \u7b49AI\u9886\u57df\u56fd\u9645\u9876\u7ea7\u4f1a\u8bae\u4e0a\u4ee5\u7b2c\u4e00\u4f5c\u8005\u8eab\u4efd\u53d1\u8868\u8fc7\u591a\u7bc7\u8bba\u6587\uff0c\u62c5\u4efb ACL\u3001EMNLP\u3001NAACL\u7b49\u591a\u4e2a\u9876\u4f1a\u7684 PC Member \u6216\u5ba1\u7a3f\u4eba\uff0c\u83b7\u5f97\u8fc7\u5317\u4eac\u5927\u5b66\u4e09\u597d\u5b66\u751f\u7b49\u591a\u9879\u6821\u7ea7\u6216\u56fd\u5bb6\u7ea7\u7684\u8363\u8a89\u5956\u52b1\u3002<\/span><\/section>\n

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      <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


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      \u674e\u660a\u8f69<\/span><\/strong>\uff0c \u5317\u4eac\u5927\u5b66\u5927\u6570\u636e\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\uff0c\u6570\u636e\u79d1\u5b66\uff08\u7edf\u8ba1\u5b66\uff09\u535a\u58eb\uff0cCCF\u4f1a\u5458\u3001IEEE\u4f1a\u5458\u3001ACM\u4f1a\u5458\u3002\u7814\u7a76\u5174\u8da3\u4e3a\u56e0\u679c\u673a\u5668\u5b66\u4e60\u7406\u8bba\u3001\u53cd\u4e8b\u5b9e\u516c\u5e73\u6027\u3001\u63a8\u8350\u7cfb\u7edf\u53bb\u504f\u3001\u5206\u5e03\u5916\u6cdb\u5316\u3001\u591a\u6e90\u6570\u636e\u878d\u5408\u3001\u751f\u7269\u4fe1\u606f\u5b66\u548c\u5927\u8bed\u8a00\u6a21\u578b\u7b49\u3002\u5df2\u5728ICML\u3001NeurIPS\u3001ICLR\u3001KDD\u3001WWW\u3001AAAI\u3001IJCAI\u7b49\u591a\u4e2aCCF-A\u9876\u5c16\u4f1a\u8bae\u4ee5\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u591a\u7bc7\u8bba\u6587\uff0c\u5176\u4e2d5\u7bc7\u8bba\u6587\u88ab\u8bc4\u9009\u4e3aSpotlight\u6216Oral\uff0c\u73b0\u4e3aICML\u3001NeurIPS\u3001ICLR\u3001KDD\u3001WWW\u3001AAAI\u3001IJCAI\u7b49\u591a\u4e2a\u9876\u4f1aPC member\u6216Area Chair\uff0c\u4ee5\u53caTKDE\u3001TOIS\u3001TKDD\u3001The Innovation\u3001\u300a\u4e2d\u56fd\u79d1\u5b66\uff1a\u4fe1\u606f\u79d1\u5b66\u300b\u7b49\u591a\u4e2a\u9876\u7ea7\u671f\u520a\u5ba1\u7a3f\u4eba\uff0c14\u9879\u53d1\u660e\u4e13\u5229\u3002\u8fde\u7eed\u4e24\u5e74\u83b7\u5f97\u5317\u4eac\u5927\u5b66\u535a\u58eb\u6700\u9ad8\u7814\u7a76\u5956\u201c\u6821\u957f\u5956\u5b66\u91d1\u201d\uff0c\u83b7\u56fd\u5bb6\u5956\u5b66\u91d1\uff0c\u4e5d\u5764\uff08\u4eba\u5de5\u667a\u80fd\u65b9\u5411\uff09\u5956\u5b66\u91d1\uff0c\u5317\u4eac\u5927\u5b66\u4e09\u597d\u5b66\u751f\uff0c\u4e24\u9879\u6210\u679c\u83b7\u5317\u4eac\u5927\u5b66\u201c\u6311\u6218\u676f\u201d\u4e94\u56db\u9752\u5e74\u79d1\u5b66\u5956\u7279\u7b49\u5956\uff0c\u5e76\u83b7\u5f97\u9996\u6279\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u5b66\u751f\u57fa\u7840\u7814\u7a76\u9879\u76ee\uff08\u535a\u58eb\u7814\u7a76\u751f\uff0930\u4e07\u8d44\u52a9\u3002<\/span><\/section>\n


      <\/p>\n


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      \u76f4\u64ad\u4fe1\u606f<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

      \n

      <\/section>\n

      <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


      <\/p>\n

      <\/h1>\n

      \u76f4\u64ad\u65f6\u95f4\uff1a<\/strong><\/span><\/h3>\n
      <\/span>8\u670818\u65e520:00-22:00\uff08\u5468\u65e5\uff09\uff0c\u76f4\u64ad\u62a5<\/span>\u540d\u5165\u53e3\u89c1\u540e\u6587\u3002<\/span><\/span><\/span><\/section>\n
      <\/mp-common-videosnap><\/section>\n

      \u53c2\u4e0e\u65b9\u5f0f\uff1a<\/strong><\/span><\/h3>\n

      \u96c6\u667a\u4ff1\u4e50\u90e8 B\u7ad9\u548c\u89c6\u9891\u53f7<\/strong>\u514d\u8d39\u76f4\u64ad\uff0c\u626b\u7801\u53ef\u9884\u7ea6\uff1a<\/span><\/p>\n

      <\/section>\n
      \u626b\u7801\u9884\u7ea6\u672c\u6b21\u76f4\u64ad<\/span><\/section>\n

      <\/span><\/section>\n
      \u82e5\u9700\u8981\u89c2\u770b\u89c6\u9891\u56de\u653e\uff0c\u6587\u672b\u626b\u7801\u4ed8\u8d39\u53c2\u52a0\u53ef\u52a0\u5165\u817e\u8baf\u4f1a\u8bae\uff0c\u53ef\u63d0\u95ee\u4ea4\u6d41\u3001\u52a0\u5165\u7fa4\u804a\u3001\u83b7\u53d6\u89c6\u9891\u56de\u653e\u53ca\u66f4\u591a\u5b66\u4e60\u8d44\u6599\uff0c\u6210\u4e3a\u56e0\u679c\u79d1\u5b66\u793e\u533a\u79cd\u5b50\u7528\u6237\uff0c\u4e0e\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8\u56e0\u679c\u79d1\u5b66\u793e\u533a\u7684\u53d1\u5c55\u3002<\/span><\/section>\n

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      \u53c2\u8003\u6587\u732e<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

      \n

      <\/section>\n

      <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


      <\/p>\n

      <\/span><\/h1>\n

      MO<\/span>RE\uff1a<\/span>\u591a\u6a21\u6001<\/span>\u5927\u6a21\u578b\u5e7b\u89c9\/\u5355\u6a21\u6001\u504f\u89c1\u95ee\u9898\u7684\u5b9a\u4e49\u3001\u5206\u6790\u4e0e\u7f13\u89e3<\/span><\/p>\n

      Meiqi Chen, Yixin Cao, Yan Zhang, et al. Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective<\/strong>. arXiv:2403.18346<\/em>, 2024 https:\/\/arxiv.org\/pdf\/2403.18346<\/span><\/p>\n

      CELLO\uff1a\u591a\u6a21\u6001\u5927\u6a21\u578b\u56e0\u679c\u63a8\u7406\u80fd\u529b\u7684\u8bc4\u6d4b<\/span><\/section>\n
      Meiqi Chen, Bo Peng, Yan Zhang, et al. CELLO: Causal Evaluation of Large Vision-Language Models<\/strong>. arXiv:2406.19131<\/em>, 2024 https:\/\/arxiv.org\/pdf\/2406.19131<\/span><\/section>\n


      <\/p>\n


      <\/section>\n
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      \u56e0\u679c\u79d1\u5b66\u793e\u533a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


      <\/section>\n
      \u201c\u56e0\u679c\u201d\u5e76\u4e0d\u662f\u4e00\u4e2a\u65b0\u6982\u5ff5\uff0c\u800c\u662f\u4e00\u4e2a\u5df2\u7ecf\u5728\u591a\u4e2a\u5b66\u79d1\u4e2d\u4f7f\u7528\u4e86\u6570\u5341\u5e74\u7684\u5206\u6790\u6280\u672f\u3002\u96c6\u667a\u4ff1\u4e50\u90e8\u5728\u8fc7\u53bb4\u5e74\u671f\u95f4\u56f4\u7ed5\u7814\u7a76\u4eba\u5458\u7684\u4e0d\u540c\u89d2\u5ea6\u7684\u9700\u6c42\uff0c\u4e3e\u529e\u4e864\u5b63\u76f8\u5173\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u5f62\u6210\u4e86\u6570\u5343\u4eba\u89c4\u6a21\u7684\u793e\u533a\u3002<\/span><\/section>\n

      <\/section>\n

      \u3010<\/span>\u7b2c\u4e00\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0eCausal AI<\/span><\/a>\u3011\u57fa\u4e8e\u300aElements of Causal Inference\u300b\uff0c\u63a2\u8ba8\u56e0\u679c\u79d1\u5b66\u5728\u673a\u5668\u5b66\u4e60\u65b9\u9762\u7684\u5e94\u7528\uff0c\u5982\u5f3a\u5316\u5b66\u4e60\u548c\u8fc1\u79fb\u5b66\u4e60\u7b49\uff0c\u5e76\u5206\u4eab\u5de5\u4e1a\u5e94\u7528\u3002<\/span><\/span><\/p>\n

      \u3010<\/span>\u7b2c\u4e8c\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0e\u57fa\u7840\u5b9e\u6218<\/span><\/a>\u3011\u805a\u7126\u5b9e\u64cd\u548c\u57fa\u7840\uff0c\u6df1\u5165\u5b66\u4e60\u300aCausal inference in statistics: A primer\u300b\u548c\u300aElements of causal inference: foundations and learning algorithms\u300b\u3002 <\/span><\/span><\/p>\n

      \u3010<\/span>\u7b2c\u4e09\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0eCausal +X<\/span><\/a>\u3011\u56de\u987e\u793e\u4f1a\u5b66\u3001\u7ecf\u6d4e\u5b66\u3001\u533b\u5b66\uff0c\u8ba1\u7b97\u673a\u7b49\u9886\u57df\u7684\u56e0\u679c\u6a21\u578b\u548c\u8303\u5f0f\uff0c\u5c1d\u8bd5\u7528\u73b0\u4ee3\u6a21\u578b\u63d0\u4f9b\u65b0\u601d\u8def\u3002 <\/span><\/span><\/p>\n

      \u3010<\/span>\u7b2c\u56db\u5b63\uff1a\u56e0\u679c\u8868\u5f81\u5b66\u4e60<\/span><\/a>\u3011\u63a2\u8ba8\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u7684\u7406\u8bba\u3001\u6280\u672f\u548c\u6700\u65b0\u5e94\u7528\uff0c\u6d89\u53ca\u56e0\u679c\u751f\u6210\u6a21\u578b\u3001\u53ef\u89e3\u91ca\u6027\u3001\u516c\u5e73\u6027\u53ca\u5de5\u4e1a\u843d\u5730\u3002<\/span><\/span><\/p>\n

      \u7b2c\u4e94\u5b63\u8bfb\u4e66\u4f1a<\/strong><\/span><\/a>\u4e3b\u8981\u56f4\u7ed5\u56e0\u679c\u79d1\u5b66\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u5305\u62ec\u56e0\u679c\u79d1\u5b66\u4e0e\u5927\u6a21\u578b\u7684\u7ed3\u5408\u7b49\u65b9\u9762\u8fdb\u884c\u6df1\u5ea6\u7684\u63a2\u8ba8\u548c\u68b3\u7406\uff0c\u5e0c\u671b\u7ed9\u5728\u8fd9\u4e2a\u9886\u57df\u7684\u7814\u7a76\u8005\u63d0\u4f9b\u4e00\u4e2a\u5168\u9762\u7684\u7814\u7a76\u56fe\u666f\u3002\u5171\u540c\u63a2\u8ba8\u56e0\u679c\u79d1\u5b66\u7684\u672a\u6765\u53d1\u5c55\u4ee5\u53ca\u9762\u4e34\u7684\u6311\u6218\u3002<\/span><\/section>\n

      <\/span><\/section>\n

      <\/span><\/a><\/span><\/p>\n


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

      \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span>\u901f\u6765\uff01\u56e0\u679c\u4e0e\u5927\u6a21\u578b\u7684\u53cc\u5411\u8d4b\u80fd\u4e28\u56e0\u679c\u79d1\u5b66\u7b2c\u4e94\u5b63\u5f3a\u52bf\u56de\u5f52<\/a><\/span><\/p>\n


      <\/p>\n

      \u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/section>\n

      <\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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