{"id":50632,"date":"2024-05-29T18:42:49","date_gmt":"2024-05-29T10:42:49","guid":{"rendered":"https:\/\/swarma.org\/?p=50632"},"modified":"2024-05-29T18:42:49","modified_gmt":"2024-05-29T10:42:49","slug":"%e9%80%9f%e6%9d%a5%ef%bc%81%e5%9b%a0%e6%9e%9c%e4%b8%8e%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%9a%84%e5%8f%8c%e5%90%91%e8%b5%8b%e8%83%bd%e4%b8%a8%e5%9b%a0%e6%9e%9c%e7%a7%91%e5%ad%a6%e7%ac%ac%e4%ba%94%e5%ad%a3","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=50632","title":{"rendered":"\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"},"content":{"rendered":"<div class='wxsyncmain'>\n<section powered-by=\"xiumi.us\" style=\"margin-bottom: 0px;outline: 0px;letter-spacing: 0.544px;white-space: normal;color: rgb(63, 63, 63);font-family: PingFangSC-light;font-size: 15px;background-color: rgb(255, 255, 255);visibility: visible;text-align: center;\" data-mpa-powered-by=\"yiban.io\">\n<section style=\"outline: 0px;display: inline-block;width: 661px;vertical-align: top;background-color: rgb(246, 246, 246);visibility: visible;\">\n<section style=\"outline: 0px;visibility: visible;\">\n<div class=\"post-image\"><img class=\"rich_pages wxw-img\" data-backh=\"325\" data-backw=\"578\" data-cropselx1=\"0\" data-cropselx2=\"578\" data-cropsely1=\"0\" data-cropsely2=\"325\" data-imgfileid=\"100201152\" data-ratio=\"0.5740740740740741\" data-s=\"300,640\"  data-type=\"jpeg\" data-w=\"1080\" style=\"letter-spacing: 0.544px;width: 578px;height: 332px;\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-a0b2ce1ad784b71c21a398f2dad2ee93.jpeg\"  \/><\/div>\n<p><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">Dan Page for Quanta Magazine<\/span><\/p>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;outline: 0px;letter-spacing: 0.544px;visibility: visible;\">\n<section style=\"outline: 0px;width: 661px;visibility: visible;\">\n<section style=\"padding-right: 3px;outline: 0px;float: left;line-height: 1;visibility: visible;\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;text-align: left;visibility: visible;\">\n<section style=\"padding-left: 10px;outline: 0px;display: inline-block;width: auto;vertical-align: top;min-width: 10%;height: auto;border-left: 3px solid rgb(33, 166, 210);border-bottom-left-radius: 0px;line-height: 0;visibility: visible;\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;transform: translate3d(-13px, 0px, 0px);visibility: visible;\">\n<section style=\"outline: 0px;display: inline-block;width: 25px;height: 10px;vertical-align: top;overflow: hidden;line-height: 0;border-style: solid solid none;border-width: 3px 3px 2px;border-radius: 0px;border-color: rgb(33, 166, 210) rgb(33, 166, 210) rgb(15, 76, 129);visibility: visible;\"><br style=\"outline: 0px;visibility: visible;\"  \/><\/section>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;transform: translate3d(-1px, 0px, 0px);visibility: visible;\">\n<section style=\"outline: 0px;text-align: justify;color: rgb(33, 166, 210);font-size: 16px;line-height: 1.5;visibility: visible;\">\n<p style=\"outline: 0px;visibility: visible;\"><strong style=\"outline: 0px;visibility: visible;\">\u5bfc\u8bed<\/strong><\/p>\n<\/section>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;transform: translate3d(-13px, 0px, 0px) rotateX(180deg);visibility: visible;\">\n<section style=\"outline: 0px;display: inline-block;width: 24px;height: 10px;vertical-align: top;overflow: hidden;line-height: 0;border-style: solid solid none;border-width: 3px 3px 2px;border-radius: 0px;border-color: rgb(33, 166, 210) rgb(33, 166, 210) rgb(15, 76, 129);visibility: visible;\"><br style=\"outline: 0px;visibility: visible;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 4px;padding-left: 4px;outline: 0px;clear: 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0px;font-size: 13px;line-height: 2;letter-spacing: 0.544px;visibility: visible;\"><strong style=\"letter-spacing: 0.578px;text-indent: 0em;font-size: 15px;\"><span style=\"font-size: 13px;letter-spacing: 0.544px;text-decoration-style: solid;text-decoration-color: rgb(63, 63, 63);\"><br  \/><\/span><\/strong><\/section>\n<section style=\"padding-right: 8px;padding-left: 8px;outline: 0px;font-size: 13px;line-height: 2;letter-spacing: 0.544px;visibility: visible;text-align: justify;\"><strong style=\"letter-spacing: 0.578px;text-indent: 0em;font-size: 15px;\"><span style=\"font-size: 13px;letter-spacing: 0.544px;text-decoration-style: solid;text-decoration-color: rgb(63, 63, 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2;letter-spacing: 0.544px;visibility: visible;\"><strong style=\"outline: 0px;letter-spacing: 0.578px;text-indent: 0em;font-size: 15px;visibility: visible;\"><\/strong><\/section>\n<section style=\"outline: 0px;visibility: visible;\"><strong style=\"outline: 0px;letter-spacing: 0.578px;text-indent: 0em;visibility: visible;\"><\/strong><\/section>\n<section style=\"padding-right: 8px;padding-left: 8px;outline: 0px;font-size: 13px;line-height: 2;letter-spacing: 0.544px;visibility: visible;\"><strong style=\"outline: 0px;letter-spacing: 0.578px;text-indent: 0em;font-size: 15px;visibility: visible;\"><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;white-space: normal;color: rgb(63, 63, 63);font-family: PingFangSC-light;font-size: 15px;background-color: rgb(255, 255, 255);text-align: center;visibility: visible;\">\n<section style=\"outline: 0px;vertical-align: middle;display: inline-block;line-height: 0;visibility: visible;\"><img class=\"rich_pages wxw-img\" data-fileid=\"100098753\" data-imgfileid=\"100208025\" data-ratio=\"0.07314814814814814\"  data-type=\"png\" data-w=\"1080\" style=\"outline: 0px;vertical-align: middle;visibility: visible !important;width: 677px !important;\" src=\"\"  \/><\/section>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;white-space: normal;color: rgb(63, 63, 63);font-family: PingFangSC-light;font-size: 15px;background-color: rgb(255, 255, 255);text-align: center;visibility: visible;\">\n<section style=\"outline: 0px;vertical-align: middle;display: inline-block;line-height: 0;visibility: visible;\"><br  \/><\/section>\n<\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans 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3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u80cc\u666f\u4ecb\u7ecd<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u79d1\u5b66\u662f\u63a2\u7d22\u4e8b\u7269\u4e4b\u95f4\u56e0\u679c\u5173\u7cfb\u7684\u5b66\u79d1\uff0c\u5b83\u8d85\u8d8a\u4e86\u7b80\u5355\u7684\u76f8\u5173\u6027\u5206\u6790\uff0c\u6df1\u5165\u63a2\u7d22\u4e86\u201c\u4e3a\u4ec0\u4e48\u201d\u7684\u95ee\u9898\uff0c\u5176\u6838\u5fc3\u5185\u5bb9\u5305\u62ec\u56e0\u679c\u63a8\u65ad\u548c\u56e0\u679c\u53d1\u73b0\u3002\u56e0\u679c\u63a8\u65ad\u65e8\u5728\u901a\u8fc7\u89c2\u5bdf\u548c\u5b9e\u9a8c\u6570\u636e\uff0c\u63a8\u65ad\u51fa\u67d0\u4e00\u4e8b\u4ef6\uff08\u539f\u56e0\uff09\u5bf9\u53e6\u4e00\u4e8b\u4ef6\uff08\u7ed3\u679c\uff09\u7684\u5f71\u54cd\u3002\u56e0\u679c\u53d1\u73b0\u5219\u662f\u901a\u8fc7\u6570\u636e\u5206\u6790\uff0c\u63ed\u793a\u51fa\u9690\u85cf\u5728\u5927\u91cf\u6570\u636e\u4e2d\u7684\u6f5c\u5728\u56e0\u679c\u5173\u7cfb\u3002\u5728\u79d1\u5b66\u7814\u7a76\u3001\u653f\u7b56\u5236\u5b9a\u548c\u5546\u4e1a\u51b3\u7b56\u7b49\u573a\u666f\uff0c\u56e0\u679c\u79d1\u5b66\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4e16\u754c\u7684\u8fd0\u4f5c\u673a\u5236\uff0c\u5e76\u57fa\u4e8e\u8fd9\u4e9b\u7406\u89e3\u505a\u51fa\u66f4\u52a0\u7cbe\u51c6\u548c\u6709\u6548\u7684\u51b3\u7b56\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5927\u6a21\u578b\u662f\u8fd1\u5e74\u6765\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u91cd\u8981\u53d1\u5c55\u8d8b\u52bf\uff0c\u5b83\u4eec\u901a\u8fc7\u6d77\u91cf\u6587\u672c\u6570\u636e\u7684\u8bad\u7ec3\uff0c\u6784\u5efa\u4e86\u89c4\u6a21\u5e9e\u5927\u3001\u529f\u80fd\u5f3a\u5927\u7684\u6a21\u578b\uff0c\u5177\u5907\u4e86\u51fa\u8272\u7684\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u80fd\u529b\uff0c\u80fd\u591f\u5e94\u7528\u4e8e\u667a\u80fd\u5ba2\u670d\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u6587\u672c\u521b\u4f5c\u7b49\u591a\u4e2a\u9886\u57df\u3002\u591a\u6a21\u6001\u5927\u6a21\u578b\u5219\u66f4\u8fdb\u4e00\u6b65\uff0c\u80fd\u591f\u5904\u7406\u5305\u62ec\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u7b49\u591a\u79cd\u6a21\u6001\u7684\u6570\u636e\uff0c\u5b9e\u73b0\u4e86\u8de8\u6a21\u6001\u7684\u4fe1\u606f\u4ea4\u4e92\u548c\u7406\u89e3\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u968f\u7740\u56e0\u679c\u79d1\u5b66\u548c\u5927\u6a21\u578b\u6280\u672f\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u5c06\u4e8c\u8005\u4f18\u52bf\u4e92\u8865\u7684\u65b0\u65b9\u6cd5\uff0c\u6b63\u6210\u4e3a\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u5173\u6ce8\u7684\u70ed\u70b9\u3002<strong>\u4e00\u65b9\u9762\uff0c\u5927\u6a21\u578b\u53ef\u63d0\u4f9b\u5176\u4e30\u5bcc\u7684\u4e16\u754c\u77e5\u8bc6\uff0c\u4f7f\u5f97\u6211\u4eec\u80fd\u591f\u66f4\u52a0\u51c6\u786e\u5730\u8fdb\u884c\u56e0\u679c\u5b66\u4e60\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u56e0\u679c\u79d1\u5b66\u4e5f\u4e3a\u5927\u6a21\u578b\u63d0\u4f9b\u4e86\u66f4\u52a0\u6df1\u5165\u7684\u7406\u89e3\u548c\u89e3\u91ca\u80fd\u529b\uff0c\u4e0d\u4ec5\u80fd\u4f7f\u5f97\u5927\u6a21\u578b\u66f4\u597d\u5730\u6a21\u62df\u4eba\u7c7b\u7684\u667a\u80fd\u884c\u4e3a\uff0c\u8fd8\u80fd\u591f\u8ba9\u6211\u4eec\u7406\u89e3\u8fd9\u4e9b\u884c\u4e3a\u80cc\u540e\u7684\u539f\u56e0\u548c\u673a\u5236\u3002<\/strong>\u7136\u800c\uff0c\u56e0\u679c\u79d1\u5b66\u4e0e\u5927\u6a21\u578b\u7684\u7ed3\u5408\u4e5f\u9762\u4e34\u7740\u8bf8\u591a\u6311\u6218\uff0c\u56e0\u6b64\u672c\u6b21\u8bfb\u4e66\u4f1a\u65e8\u5728\u6c47\u805a\u76f8\u5173\u9886\u57df\u7684\u5b66\u8005\uff0c\u5171\u540c\u63a2\u8ba8\u5982\u4f55\u66f4\u597d\u5730\u5c06\u4e8c\u8005\u7ed3\u5408\uff0c\u63a8\u52a8\u76f8\u5173\u7814\u7a76\u7684\u53d1\u5c55\u548c\u5e94\u7528\u3002<\/span><\/section>\n<h1 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h1>\n<section style=\"margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u8bfb\u4e66\u4f1a\u6846\u67b6<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6b21\u8bfb\u4e66\u4f1a\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<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6211\u4eec\u5c06\u91cd\u70b9\u8ba8\u8bba\u5927\u8bed\u8a00\u6a21\u578b\u5982\u4f55\u4fc3\u8fdb\u56e0\u679c\u53d1\u73b0\u548c\u63a8\u65ad\uff0c\u4ee5\u53ca\u56e0\u679c\u79d1\u5b66\u5982\u4f55\u589e\u5f3a\u5927\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3001\u53ef\u4fe1\u6c34\u5e73\u548c\u6570\u636e\u5373\u4e0e\u57fa\u51c6\u7b49\u7814\u7a76\u3002\u5728\u591a\u6a21\u6001\u5927\u6a21\u578b\u9886\u57df\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8\u56e0\u679c\u79d1\u5b66\u5982\u4f55\u89e3\u51b3\u89c6\u89c9\u95ee\u7b54\u3001\u5355\u6a21\u6001\u504f\u89c1\u548c\u63d0\u793a\u7b56\u7565\u7b49\u95ee\u9898\u3002\u4f5c\u4e3a\u91cd\u542f\u7684\u7b2c\u4e94\u5b63\u8bfb\u4e66\u4f1a\uff0c\u6211\u4eec\u8fd8\u5c06\u56de\u987e\u524d\u56db\u5b63\u7684\u6838\u5fc3\u7814\u7a76\uff0c\u6db5\u76d6\u56e0\u679c\u53d1\u73b0\u3001\u8868\u5f81\u5b66\u4e60\u3001\u5f3a\u5316\u5b66\u4e60\u548c\u6570\u636e\u6316\u6398\u7b49\u6700\u65b0\u8fdb\u5c55\u3002<\/span><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-cropselx1=\"0\" data-cropselx2=\"562\" data-cropsely1=\"0\" data-cropsely2=\"287\" data-imgfileid=\"100208047\" data-ratio=\"0.5259259259259259\" data-s=\"300,640\"  data-type=\"jpeg\" data-w=\"1080\" style=\"width: 562px;height: 296px;\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-faa3997b4b7d6bde677b6c0ffe8906d4.png\"  \/><\/section>\n<h1 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h1>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u4e0e\u524d\u56db\u5b63\u7684\u5173\u7cfb<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\">&nbsp;<\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\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\u8bfb\u4e66\u4f1a\uff1a<\/span><\/section>\n<p style=\"text-align: center;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100208064\" data-ratio=\"0.5625\" data-s=\"300,640\"  data-type=\"png\" data-w=\"960\" style=\"\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-74dc6c54c941839f6bead1f120eb6ff3.png\"  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u3010<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247518709&amp;idx=1&amp;sn=801e98285ad903a5e0abb1f4ae1a9a9d&amp;chksm=e897d378dfe05a6e4fdd97d189237020589669a6b5e750063f2b9e56bb3d951d573e6dd533b3&amp;scene=21#wechat_redirect\" textvalue=\"\u7b2c\u4e00\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0eCausal AI\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u7b2c\u4e00\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0eCausal AI<\/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><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u3010<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247539257&amp;idx=1&amp;sn=d2bec726db7303f694138c30968214ad&amp;chksm=e89700b4dfe089a21ef3ad96bbbd8e98c476a65056de63912bec5512a998e66e6e0fe7550fbc&amp;scene=21#wechat_redirect\" textvalue=\"\u7b2c\u4e8c\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0e\u57fa\u7840\u5b9e\u6218\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u7b2c\u4e8c\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0e\u57fa\u7840\u5b9e\u6218<\/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><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u3010<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247580041&amp;idx=1&amp;sn=ac9c1f715efa58ca79fc416c6e41190c&amp;chksm=e896e304dfe16a12a7cb349d945f3fc400533c5b89f6df9a407c1654ccb248f1a65d1e89fb9e&amp;scene=21#wechat_redirect\" textvalue=\"\u7b2c\u4e09\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0eCausal +X\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u7b2c\u4e09\u5b63\uff1a\u56e0\u679c\u79d1\u5b66\u4e0eCausal +X<\/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><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u3010<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247652596&amp;idx=1&amp;sn=eccda047b41ca375470429c6a6665b0d&amp;chksm=e899ce79dfee476fa2df4a9f7036986943f33b7f9d2c2885549ac176cdbf3e29959735382c90&amp;scene=21#wechat_redirect\" textvalue=\"\u7b2c\u56db\u5b63\uff1a\u56e0\u679c\u8868\u5f81\u5b66\u4e60\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u7b2c\u56db\u5b63\uff1a\u56e0\u679c\u8868\u5f81\u5b66\u4e60<\/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><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e94\u5b63\u8bfb\u4e66\u4f1a<\/span><\/strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\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<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h1 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h1>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u53d1\u8d77\u4eba\u4ecb\u7ecd<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100208015\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-bfb025e648ff31b6ef9da27fef5ffc8e.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u674e\u660a\u8f69<\/span><\/strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\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\u4e2d3\u7bc7\u8bba\u6587\u88ab\u8bc4\u9009\u4e3aSpotlight\u6216Oral\uff0c\u73b0\u4e3aICML\u3001KDD\u3001WWW\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\uff0c11\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\uff09\u8d44\u52a9\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><br  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100208016\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-bedfd68bde17a000e039614ee662c683.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6768\u68a6\u6708<\/span><\/strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\uff0c\u4f26\u6566\u5927\u5b66\u5b66\u9662\u8ba1\u7b97\u673a\u535a\u58eb\uff0c\u5bfc\u5e08\u4e3a\u4f26\u6566\u5927\u5b66\u5b66\u9662\u6c6a\u519b\u6559\u6388\u3002\u4e3b\u8981\u7814\u7a76\u5174\u8da3\u4e3a\u56e0\u679c\u8868\u793a\u5b66\u4e60\uff0c\u591a\u667a\u80fd\u4f53\uff0c\u5f3a\u5316\u5b66\u4e60\u7b49\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u57fa\u4e8e\u56e0\u679c\u8868\u793a\u7684\u51b3\u7b56\u7cfb\u7edf\u3002\u535a\u58eb\u671f\u95f4\u5728\u4eba\u5de5\u667a\u80fd\u9876\u7ea7\u4f1a\u8bae\u671f\u520aNeurIPS\uff0cCVPR\uff0cKDD\uff0cSIGIR\uff0cWWW\uff0cACM TOIS\u7b49\u53d1\u8868\u82e5\u5e72\u7814\u7a76\u6210\u679c\uff0c\u5e76\u88ab\u8bc4\u9009\u4e3aRising Star in AI\u3002\u76ee\u524d\u62c5\u4efbNeurIPS\uff0cICML\uff0cICLR\uff0cKDD\uff0cTNNLS\u7b49\u4f1a\u8bae\u671f\u520a\u7684PC member\u6216\u5ba1\u7a3f\u4eba\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/ymy4323460.github.io\/<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><br  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100208022\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-403f779cfef08e2b603204d19c8183bb.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u9648\u5e7f\u4e49<\/span><\/strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\uff0c \u5361\u8010\u57fa\u6885\u9686\u5927\u5b66\uff0c\u7a46\u7f55\u9ed8\u5fb7\u00b7\u672c\u00b7\u624e\u8036\u5fb7\u4eba\u5de5\u667a\u80fd\u5927\u5b66\uff0c\u535a\u58eb\u540e\u7814\u7a76\u5458\u3002\u535a\u58eb\u5c31\u8bfb\u4e8e\u6e05\u534e\u5927\u5b66\u81ea\u52a8\u5316\u7cfb\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u56e0\u679c\u8868\u5f81\u5b66\u4e60\uff0c\u6ce8\u610f\u529b\u8868\u5f81\u5b66\u4e60\uff0c\u89c6\u89c9\u7406\u89e3\u7b49\u3002\u5728CVPR\u3001ICCV\u3001ECCV\u3001 ICLR\u3001NeurIPS\u3001ICML\u3001AAAI\u3001IEEE TIP\u7b49\u591a\u4e2a\u9876\u5c16\u4f1a\u8bae\u671f\u520a\u4e0a\u53d1\u8868\u8bba\u658730\u4f59\u7bc7\uff0c\u5176\u4e2d\u4ee5\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u8bba\u658710\u4f59\u7bc7\uff0cSpotlight\u6216Oral \u8bba\u65877\u7bc7\u3002\u73b0\u4e3aCVPR\u3001 ICCV\u3001 ICLR\u3001ICML\u3001NeurIPS\u7b49\u591a\u4e2a\u56fd\u9645\u4f1a\u8baePC member\uff0c\u4ee5\u53caIEEE TPAMI, IEEE TIP, IEEE TNNLS, IJCV\u7b49\u591a\u4e2a\u671f\u520a\u5ba1\u7a3f\u4eba.<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/chengy12.github.io\/<\/span><\/section>\n<h1 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h1>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"64\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(136, 136, 136);\">\u672c\u5b63\u8bfb\u4e66\u4f1a\u8fd0\u8425\u8d1f\u8d23\u4eba\uff1a\u738b\u5a77\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8d1f\u8d23\u4eba\uff0c\u611f\u5174\u8da3\u7684\u65b9\u5411\u4e3a\u590d\u6742\u79d1\u5b66\u548c\u79d1\u5b66\u793e\u533a\u8fd0\u8425\uff0c\u81f4\u529b\u4e8e\u670d\u52a1\u79d1\u7814\u63a2\u7d22\u8005\uff0c\u8425\u9020\u8de8\u5b66\u79d1\u63a2\u7d22\u5c0f\u751f\u5883\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<section style=\"margin-bottom: 0px;\"><br  \/><\/section>\n<section style=\"margin-bottom: 0px;\"><br  \/><\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u62a5\u540d\u53c2\u4e0e\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u672c\u8bfb\u4e66\u4f1a\u9002\u5408\u53c2\u4e0e\u7684\u5bf9\u8c61<\/strong><\/span><\/h4>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9CausalAI\u611f\u5174\u8da3\u7684\u79d1\u7814\u5de5\u4f5c\u8005\uff1b<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u80fd\u9605\u8bfb\u82f1\u6587\u6587\u732e\uff0c\u5bf9\u590d\u6742\u79d1\u5b66\u548c\u4e16\u754c\u672c\u8d28\u5145\u6ee1\u597d\u5947\u7684\u63a2\u7d22\u8005\u3002<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong><br  \/><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u672c\u8bfb\u4e66\u4f1a\u8c22\u7edd\u53c2\u4e0e\u7684\u5bf9\u8c61<\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3a\u786e\u4fdd\u4e13\u4e1a\u6027\u548c\u8ba8\u8bba\u7684\u805a\u7126\uff0c<strong>\u6211\u4eec\u5c06\u5bf9\u53c2\u4e0e\u4eba\u5458\u8fdb\u884c\u7b5b\u9009\uff0c\u5982\u679c\u51fa\u73b0\u8ba8\u8bba\u5185\u5bb9\u4e0d\u7b26\u5408\u8981\u6c42\u3001\u7ecf\u63d0\u9192\u65e0\u6548\u8005\uff0c\u4f1a\u88ab\u79fb\u9664<\/strong><strong>\u793e\u533a<\/strong><strong>\u3002<\/strong><\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><br  \/><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u8fd0\u884c\u6a21\u5f0f<\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6bcf\u5468\u8fdb\u884c\u7ebf\u4e0a\u4f1a\u8bae\uff0c\u7531 1-2 \u540d\u8bfb\u4e66\u4f1a\u6210\u5458\u4ee5PPT\u8bb2\u89e3\u7684\u5f62\u5f0f\u9886\u8bfb\u76f8\u5173\u8bba\u6587\u548c\u4e3b\u9898\uff0c\u4e0e\u4f1a\u8005\u53ef\u4ee5\u5e7f\u6cdb\u53c2\u4e0e\u8ba8\u8bba\uff0c\u4f1a\u540e\u53ef\u4ee5\u83b7\u5f97\u89c6\u9891\u56de\u653e\u6301\u7eed\u5b66\u4e60\u3002<\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong><br  \/><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u4e3e\u529e\u65f6\u95f4<\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4ece 2024 \u5e74 06 \u6708 30 \u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u665a\u4e0a 20:00-22:00\uff08\u5317\u4eac\u65f6\u95f4\uff09\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba1 8-10 \u5468\u3002<strong>\u6211\u4eec\u4e5f\u4f1a\u5bf9\u6bcf\u6b21\u5206\u4eab\u7684\u5185\u5bb9\u8fdb\u884c\u5f55\u5236\uff0c\u526a\u8f91\u540e\u53d1\u5e03\u5728\u96c6\u667a\u6591\u56fe\u7f51\u7ad9\u4e0a\uff0c\u4f9b\u8bfb\u4e66\u4f1a\u6210\u5458\u56de\u770b\uff0c\u56e0\u6b64\u62a5\u540d\u7684\u6210\u5458\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u65f6\u95f4\u81ea\u7531\u5b89\u6392\u5b66\u4e60\u65f6\u95f4\u3002<\/strong><\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong><br  \/><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u53c2\u4e0e\u65b9\u5f0f<\/strong><\/span><\/h4>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5173\u6ce8\u7ebf\u4e0a\u76f4\u64ad\uff1a\u8bfb\u4e66\u4f1a\u7684\u90e8\u5206\u5206\u4eab\u4e3b\u9898\uff0c\u4f1a\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u5e73\u53f0\u5728\u7ebf\u76f4\u64ad\u3002<\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u52a0\u5165\u8bfb\u4e66\u4f1a\u793e\u533a\uff1a\u62a5\u540d\u52a0\u5165\u8bfb\u4e66\u4f1a\uff0c\u5373\u53ef\u89e3\u9501\u5b8c\u6574\u6743\u9650\uff0c\u5305\u62ec<strong>\u7ebf\u4e0a\u95ee\u7b54\u3001\u5f55\u64ad\u56de\u770b\u3001\u8d44\u6599\u5171\u4eab\u3001\u793e\u7fa4\u4ea4\u6d41\u3001\u4fe1\u606f\u540c\u6b65\u3001\u5171\u521b<\/strong><strong>\u4efb\u52a1\u83b7\u53d6\u79ef\u5206<\/strong><strong>\u7b49<\/strong>\u3002<\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong><br  \/><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u62a5\u540d\u65b9\u5f0f<\/strong><\/span><\/h4>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e00\u6b65\uff1a\u626b\u7801\u586b\u5199\u62a5\u540d\u4fe1\u606f\u3002<\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"400\" data-imgfileid=\"100208019\" data-ratio=\"1\"  data-type=\"png\" data-w=\"400\" data-width=\"400\" style=\"width: 141px;height: 141px;\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-5668867ca26b6d0fa9f62d495ca3606b.png\"  \/><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">\u626b\u7801\u62a5\u540d<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">PC\u7aef\u62a5\u540d\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e8c\u6b65\uff1a\u586b\u5199\u4fe1\u606f\u540e\uff0c\u4ed8\u8d39299\u5143\u3002\uff08\u53ef\u5f00\u53d1\u7968\uff0c\u7528\u4e8e\u5b66\u6821\u3001\u7814\u7a76\u673a\u6784\u6216\u8005\u4f01\u4e1a\u62a5\u9500\uff09<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><em><span style=\"color: rgb(136, 136, 136);font-size: 15px;\">\u5982\u9700\u7528\u652f\u4ed8\u5b9d\u652f\u4ed8\uff0c\u8bf7\u5728PC\u7aef\u8fdb\u5165\u8bfb\u4e66\u4f1a\u9875\u9762:<\/span><\/em><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);font-size: 15px;\"><em><span style=\"color: rgb(136, 136, 136);letter-spacing: 0.578px;text-align: center;text-wrap: wrap;\">https:\/\/pattern.swarma.org\/study_group\/46<\/span><\/em><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e09\u6b65\uff1a\u626b\u7801\u5b8c\u6210\u62a5\u540d\u5e76\u6dfb\u52a0\u8d1f\u8d23\u4eba\u5fae\u4fe1\uff0c\u62c9\u5165\u5bf9\u5e94\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\u793e\u533a\uff08\u5fae\u4fe1\u7fa4\uff09\u3002<\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><br  \/><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u9488\u5bf9\u5b66\u751f\u7684\u9000\u8d39\u673a\u5236<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bfb\u4e66\u4f1a\u901a\u8fc7\u5171\u5b66\u5171\u7814\u7684\u673a\u5236\uff0c\u56f4\u7ed5\u524d\u6cbf\u4e3b\u9898\u8fdb\u884c\u5185\u5bb9\u68b3\u7406\u548c\u6c89\u6dc0\uff0c\u6240\u4ee5\u9488\u5bf9\u4e8e\u5b66\u751f\uff0c\u53ef\u4ee5\u901a\u8fc7\u53c2\u4e0e\u5171\u521b\u4efb\u52a1\uff0c\u83b7\u53d6\u79ef\u5206\uff0c\u79ef\u5206\u8fbe\u5230\u9000\u8d39\u6807\u51c6\u4e4b\u540e\uff0c\u53ef\u4ee5\u76f4\u63a5\u9000\u8d39\u3002<\/span><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;\">\u52a0\u5165\u793e\u533a\u540e\u53ef\u4ee5\u83b7\u5f97\u7684\u8d44\u6e90<\/span><\/strong><\/span><br  \/><\/h3>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 16px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100208026\" data-ratio=\"0.5625\" data-s=\"300,640\"  data-type=\"png\" data-w=\"960\" style=\"\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-6cc7391fbe1e0dc84c66ed270106ec68.png\"  \/><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u53c2\u4e0e\u5171\u521b\u4efb\u52a1\u83b7\u53d6\u79ef\u5206\uff0c\u5171\u5efa\u5b66\u672f\u793e\u533a<\/span><\/strong><\/span><\/h3>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5b57\u5e55\u4fee\u6539\u4efb\u52a1\uff1a\u5728\u96c6\u667a\u6591\u56fe\u7cfb\u7edf\u4e0a\u76f4\u63a5\u4fee\u6539\u5b57\u5e55<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bfb\u4e66\u4f1a\u7b14\u8bb0\uff1a\u5728\u4ea4\u4e92\u5f0f\u64ad\u653e\u5668\u4e0a\u8bb0\u5f55\u672f\u8bed\u548c\u53c2\u8003\u6587\u732e<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u96c6\u667a\u767e\u79d1\u8bcd\u6761\uff1a\u56f4\u7ed5\u8bfb\u4e66\u4f1a\u4e3b\u9898\u4e2d\u91cd\u8981\u4e14\u524d\u6cbf\u7684\u77e5\u8bc6\u6982\u5ff5\u68b3\u7406\u6210\u8bcd\u6761\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n<\/li>\n<ul class=\"list-paddingleft-1\" style=\"list-style-type: square;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);text-decoration: underline;\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247611863&amp;idx=4&amp;sn=3e76dcdd60a9a3970edcffff1a59dc88&amp;chksm=e8966f5adfe1e64c7fd31411f7b4abeff57cdef630e8fa433f313728441bfb39569e4df10750&amp;scene=21#wechat_redirect\" data-linktype=\"2\">\u5927\u89c4\u6a21\u4eba\u7fa4\u6a21\u62df\uff1a\u89c2\u5bdf\u96c6\u4f53\u611a\u8822\u4e0e\u96c6\u4f53\u667a\u6167 | \u96c6\u667a\u767e\u79d1<\/a><\/span><\/p>\n<\/li>\n<\/ul>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bba\u6587\u89e3\u8bfb\u5206\u4eab\uff1a\u8ba4\u9886\u5f85\u8bfb\u5217\u8868\u4e2d\u7684\u8bba\u6587\uff0c\u4ee5\u4e3b\u9898\u62a5\u544a\u7684\u5f62\u5f0f\u5728\u793e\u533a\u5206\u4eab<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u516c\u4f17\u53f7\u6587\u7ae0\uff1a\u4ee5\u7ffb\u8bd1\u6574\u7406\u6216\u8005\u539f\u521b\u751f\u4ea7\u5f62\u5f0f\u751f\u4ea7\u516c\u4f17\u53f7\u6587\u7ae0\uff0c\u4ee5\u4ecb\u7ecd\u524d\u6cbf\u8fdb\u5c55\u3002\u4f8b\u5982\uff1a<\/span><span style=\"font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;\">&nbsp; &nbsp;&nbsp;<\/span><\/section>\n<\/li>\n<ul class=\"list-paddingleft-1\" style=\"list-style-type: square;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bba\u6587\u7ffb\u8bd1<\/span><\/p>\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);text-decoration: underline;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247627615&amp;idx=1&amp;sn=be379353aea95a746f4b0eb8e99c6c49&amp;chksm=e899a9d2dfee20c4476172d9a9da2e14563a625b1839118a1693781d96e9009713400ba92758&amp;scene=21#wechat_redirect\" textvalue=\"\u591a\u8005\u5f02\u4e5f\uff1a\u7834\u7f3a\u7684\u5bf9\u79f0\u6027\u4e0e\u79d1\u5b66\u5c42\u7ea7\u7ed3\u6784\u7684\u672c\u8d28 | \u7ecf\u5178\u56de\u987e\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u591a\u8005\u5f02\u4e5f\uff1a\u7834\u7f3a\u7684\u5bf9\u79f0\u6027\u4e0e\u79d1\u5b66\u5c42\u7ea7\u7ed3\u6784\u7684\u672c\u8d28<\/a><\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u79d1\u666e\u6587\u7ae0\u7ffb\u8bd1<\/span><\/section>\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);text-decoration: underline;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247611133&amp;idx=1&amp;sn=af5e995e3a218f7bfe38a8cdcf8593b7&amp;chksm=e8966870dfe1e1663749e55df77edf7097a9565fdc166e7fb3b3c774e32c012a834d9130d9ab&amp;scene=21#wechat_redirect\" textvalue=\"\u6d8c\u73b0\uff1a21\u4e16\u7eaa\u79d1\u5b66\u7684\u7edf\u4e00\u4e3b\u9898\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u6d8c\u73b0\uff1a21\u4e16\u7eaa\u79d1\u5b66\u7684\u7edf\u4e00\u4e3b\u9898<\/a><\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bb2\u5ea7\u6574\u7406<\/span><\/section>\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);text-decoration: underline;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247511098&amp;idx=1&amp;sn=0bc2f2027a3148cc53385bea6de3305d&amp;chksm=e897f6b7dfe07fa13d22b01560988c7df77be2a384f386b7f6e3d060bf6cda6634b55e1a46ec&amp;scene=21#wechat_redirect\" textvalue=\"\u5f20\u6c5f\uff1a\u4ece\u56fe\u7f51\u7edc\u5230\u56e0\u679c\u63a8\u65ad\uff0c\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u4e94\u90e8\u66f2\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u5f20\u6c5f\uff1a\u4ece\u56fe\u7f51\u7edc\u5230\u56e0\u679c\u63a8\u65ad\uff0c\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u4e94\u90e8\u66f2<\/a><\/span><\/section>\n<\/li>\n<\/ul>\n<li>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u62a5\u540d\u6210\u4e3a\u4e3b\u8bb2\u4eba\uff1a\u8bfb\u4e66\u4f1a\u6210\u5458\u5747\u53ef\u4ee5\u5728\u8bfb\u4e66\u4f1a\u671f\u95f4\u7533\u8bf7\u6210\u4e3a\u4e3b\u8bb2\u4eba\u3002\u4e3b\u8bb2\u4eba\u4f5c\u4e3a\u8bfb\u4e66\u4f1a\u6210\u5458\uff0c\u5747\u9075\u5faa\u5185\u5bb9\u5171\u521b\u5171\u4eab\u673a\u5236\uff0c\u53ef\u4ee5\u83b7\u5f97\u62a5\u540d\u8d39\u9000\u6b3e\uff0c\u5e76\u5171\u4eab\u672c\u8bfb\u4e66\u4f1a\u4ea7\u751f\u7684\u6240\u6709\u5185\u5bb9\u8d44\u6e90\u3002<\/span><\/p>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">PS\uff1a\u5177\u4f53\u53c2\u4e0e\u65b9\u5f0f\u53ef\u4ee5\u52a0\u5165\u8bfb\u4e66\u4f1a\u540e\u67e5\u770b\u5bf9\u5e94\u7684\u5171\u521b\u4efb\u52a1\u5217\u8868\uff0c\u9886\u53d6\u4efb\u52a1\uff0c\u4e0e\u8fd0\u8425\u8d1f\u8d23\u4eba\u6c9f\u901a\u8be6\u60c5\uff0c\u4e0a\u8ff0\u89c4\u5219\u7684\u6700\u7ec8\u89e3\u91ca\u6743\u5f52\u96c6\u667a\u4ff1\u4e50\u90e8\u6240\u6709\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h1 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h1>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u8bfb\u4e66\u4f1a\u9605\u8bfb\u6750\u6599<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u9605\u8bfb\u6750\u6599\u8f83\u957f\uff0c\u4e3a\u4e86\u66f4\u597d\u7684\u9605\u8bfb\u4f53\u9a8c\uff0c\u5efa\u8bae\u60a8\u524d\u5f80\u96c6\u667a\u6591\u56fe\u6c89\u6d78\u5f0f\u9605\u8bfb\uff0c\u5e76\u53ef\u6536\u85cf\u611f\u5174\u8da3\u7684\u8bba\u6587\u3002<\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"400\" data-imgfileid=\"100208020\" data-ratio=\"1\"  data-type=\"png\" data-w=\"400\" data-width=\"400\" style=\"width: 168px;height: 168px;\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-28eb8156c3fe7136edc9ce43d73c2346.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/pattern.swarma.org\/article\/293<\/span><\/section>\n<h2 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/h2>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u524d\u7f6e\u5b66\u4e60<\/span><\/strong><\/span><\/h2>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3a\u4e86\u8ba9\u66f4\u591a\u5bf9\u8fd9\u4e2a\u8bdd\u9898\u611f\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u53c2\u4e0e\u8ba8\u8bba\uff0c\u5e76\u66f4\u597d\u7684\u4ea4\u6d41\uff0c\u5728\u5927\u5bb6\u62a5\u540d\u4e4b\u540e\uff0c\u6b63\u5f0f\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u4f1a\u5728<strong>\u793e\u7fa4\u5185\u90e8<\/strong>\u5171\u540c\u7ec4\u7ec7\u5927\u5bb6\u5b66\u4e60\u56de\u987e\u56e0\u679c\u79d1\u5b66\u7684\u57fa\u7840\u77e5\u8bc6\u548c\u6982\u5ff5\uff0c<strong>\u4e3b\u8981\u662f\u5bf9\u524d\u56db\u5b63\u5185\u5bb9\u4e2d\uff0c\u6d89\u53ca\u5230\u7684\u57fa\u7840\u90e8\u5206\u89c6\u9891\u8fdb\u884c\u5171\u5b66\u56de\u987e<\/strong>\uff0c\u5305\u62ec\u6bcf\u4e00\u5b63\u7684\u7efc\u8ff0\u5206\u4eab\u62a5\u544a\uff0c\u56e0\u679c\u79d1\u5b66\u57fa\u7840\u6982\u5ff5\uff0c\u56e0\u679c\u53d1\u73b0\u57fa\u7840\uff0c\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\u57fa\u7840\u7b49\u5185\u5bb9\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u53c2\u8003\u56e0\u679c\u79d1\u5b66\u5b66\u4e60\u8def\u5f84\u68b3\u7406\uff1ahttps:\/\/pattern.swarma.org\/article\/145<\/span><\/p>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h2>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u56e0\u679c\u5b66\u4e60<\/span><\/strong><\/span><\/h2>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5927\u8bed\u8a00\u6a21\u578b\u7528\u4e8e\u56e0\u679c\u53d1\u73b0<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u53d1\u6398\u53d8\u91cf\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u5bf9\u4e8e\u6b63\u786e\u51b3\u7b56\u81f3\u5173\u91cd\u8981\u3002\u76ee\u524d\uff0c\u5206\u6790\u968f\u673a\u5bf9\u7167\u8bd5\u9a8c\u5f97\u5230\u7684\u6570\u636e\u662f\u786e\u5b9a\u56e0\u679c\u5173\u7cfb\u7684\u9ec4\u91d1\u6807\u51c6\u3002\u7136\u800c\uff0c\u968f\u673a\u5bf9\u7167\u8bd5\u9a8c\u5b9e\u65bd\u6210\u672c\u9ad8\u6602\uff0c\u5e76\u4e14\u6709\u65f6\u5b58\u5728\u9053\u5fb7\u98ce\u9669\u3002\u56e0\u6b64\uff0c\u4eba\u4eec\u5bf9\u4ece\u89c2\u5bdf\u6570\u636e\u4e2d\u53d1\u73b0\u56e0\u679c\u5173\u7cfb\u7684\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\u8d8a\u6765\u8d8a\u611f\u5174\u8da3\u3002\u76ee\u524d\u5df2\u6709\u4e00\u7cfb\u5217\u5de5\u4f5c\u63a2\u7d22\u4e86\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u5728\u56e0\u679c\u53d1\u73b0\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\uff0c\u6700\u8fd1\u7684\u7814\u7a76\u8868\u660e\uff0c\u4ee5 GPT-4 \u4e3a\u4ee3\u8868\u7684 LLMs \u5305\u542b\u4e30\u5bcc\u7684\u6709\u52a9\u4e8e\u56e0\u679c\u53d1\u73b0\u7684\u4e16\u754c\u77e5\u8bc6\uff0c\u5e76\u4e14 LLMs \u6709\u80fd\u529b\u501f\u52a9\u4e16\u754c\u77e5\u8bc6\u63d0\u9ad8\u56e0\u679c\u5173\u7cfb\u8bc6\u522b\u7684\u51c6\u786e\u6027\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Long, Stephanie, et al. &#8220;<strong>Causal Discovery with Language Models as Imperfect Experts.<\/strong>&#8221; <em>ICML Workshop, <\/em>2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63a2\u8ba8\u4e86\u5982\u4f55\u5229\u7528 LLMs \u5177\u6709\u7684\u4e13\u5bb6\u77e5\u8bc6\u6765\u5b9a\u5411\u4ece\u89c2\u6d4b\u6570\u636e\u5b66\u5230\u7684\u56e0\u679c\u56fe\u7684\u65e0\u5411\u8fb9\uff0c\u4ece\u800c\u63d0\u9ad8\u56e0\u679c\u56fe\u8bc6\u522b\u7684\u51c6\u786e\u6027\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">K\u0131c\u0131man, Emre, et al. &#8220;<strong>Causal reasoning and large language models: Opening a new frontier for causality.<\/strong>&#8221; <em>arXiv preprint arXiv:2305.00050,<\/em> 2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u5168\u9762\u5206\u6790\u4e86\u5728\u5408\u9002\u7684\u63d0\u793a\u8bcd\u4e0b\uff0cLLMs \u5728\u591a\u4e2a\u9886\u57df\uff08\u5305\u62ec\u533b\u5b66\u548c\u6c14\u5019\u79d1\u5b66\uff09\u7684\u6570\u636e\u96c6\u4e0a\u5206\u6790\u6210\u5bf9\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u7684\u6027\u80fd\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Cai, Hengrui, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al<\/span>. &#8220;<strong>Is Knowledge All Large Language Models Needed for Causal Reasoning?.<\/strong>&#8221; <em>arXiv preprint arXiv:2401.00139,<\/em> 2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u6307\u51fa LLMs \u7684\u56e0\u679c\u53d1\u73b0\u80fd\u529b\u66f4\u591a\u53d6\u51b3\u4e8e\u6240\u63d0\u4f9b\u7684\u4e0a\u4e0b\u6587\u6587\u672c\u4fe1\u606f\u548c\u7279\u5b9a\u9886\u57df\u7684\u77e5\u8bc6\uff0c\u800c\u4e0d\u662f\u89c2\u6d4b\u6570\u636e\u672c\u8eab\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Jiralerspong, Thomas, et al. &#8220;<strong>Efficient causal graph discovery using large language models.<\/strong>&#8221; <em>arXiv preprint arXiv:2402.01207,<\/em> 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u5e7f\u5ea6\u4f18\u5148\u641c\u7d22\u5229\u7528 LLMs \u8fdb\u884c\u56e0\u679c\u53d1\u73b0\u7684\u65b9\u6cd5\uff0c\u53ea\u9700\u4f7f\u7528\u7ebf\u6027\u67e5\u8be2\u6b21\u6570\u5c31\u53ef\u4ee5\u5728\u4e0d\u540c\u56e0\u679c\u56fe\u5927\u5c0f\u4e0b\u63d0\u9ad8\u56e0\u679c\u53d1\u73b0\u4efb\u52a1\u7684\u6027\u80fd\u3002<\/span><\/p>\n<\/li>\n<\/ol>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/strong><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5927\u8bed\u8a00\u6a21\u578b\u7528\u4e8e\u56e0\u679c\u63a8\u65ad<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u76ee\u524d\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u53ef\u4ee5\u8fdb\u884c\u53ef\u89c6\u5316\u548c\u7edf\u8ba1\u6c47\u603b\u7b49\u57fa\u672c\u6570\u636e\u5206\u6790\u3002\u7136\u800c\uff0c\u5bf9\u4e8e\u66f4\u5177\u6311\u6218\u6027\u7684\u56e0\u679c\u63a8\u65ad\u4efb\u52a1\uff0cLLMs \u7684\u8868\u73b0\u5374\u4e0d\u5c3d\u4eba\u610f\u3002\u60f3\u8981\u56de\u7b54\u56e0\u679c\u63a8\u65ad\u95ee\u9898\uff0cLLMs \u9700\u8981\u77e5\u9053\u4f30\u8ba1\u56e0\u679c\u6548\u5e94\u7684\u5e38\u7528\u65b9\u6cd5\uff0c\u4ee5\u53ca\u5982\u4f55\u5229\u7528\u8fd9\u4e9b\u65b9\u6cd5\u5f97\u5230\u7b54\u6848\u3002\u6b64\u5916\uff0cLLMs \u5982\u4f55\u5229\u7528\u4e30\u5bcc\u7684\u4e16\u754c\u77e5\u8bc6\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u53cd\u4e8b\u5b9e\u6570\u636e\u3001\u653e\u5bbd\u4f20\u7edf\u56e0\u679c\u63a8\u65ad\u5047\u8bbe\u4e5f\u662f\u503c\u5f97\u6df1\u5165\u7814\u7a76\u7684\u91cd\u8981\u95ee\u9898\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Stolfo, Alessandro, et al. &#8220;<strong>A causal framework to quantify the robustness of mathematical reasoning with language models.<\/strong>&#8221; <em>arXiv preprint arXiv:2210.12023<\/em><em>,<\/em> 2022.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u56e0\u679c\u63a8\u65ad\u7684\u6846\u67b6\uff0c\u901a\u8fc7\u5bf9\u8f93\u5165\u7a7a\u95f4\u76f4\u63a5\u5e72\u9884\u7814\u7a76LLMs\u5728\u6570\u5b66\u63a8\u7406\u80fd\u529b\u65b9\u9762\u7684\u9c81\u68d2\u6027\u548c\u654f\u611f\u6027\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Jin, Zhijing, et al. &#8220;<strong>CLADDER: Assessing causal reasoning in language models.<\/strong>&#8221; NeurIPS, 2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u521b\u5efa\u4e86\u4e00\u4e2a\u57fa\u51c6\u6570\u636e\u96c6 CLADDER \u4ee5\u63a2\u6d4b LLMs \u7684\u56e0\u679c\u63a8\u65ad\u80fd\u529b\uff0c\u5e76\u63d0\u51fa\u4e86\u56e0\u679c\u601d\u7ef4\u94fe\uff08CoT\uff09\u63d0\u793a\u7b56\u7565\u4f7f LLMs \u80fd\u4ece\u95ee\u9898\u4e2d\u63d0\u53d6\u53d8\u91cf\u56e0\u679c\u56fe\u3001\u76ee\u6807\u56e0\u679c\u91cf\u548c\u53ef\u7528\u7684\u6570\u636e\u6765\u8ba1\u7b97\u51fa\u56e0\u679c\u6548\u5e94\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Liu, Xiao, et al. &#8220;<strong>Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.<\/strong>&#8221; <em>arXiv preprint arXiv:2402.17644<\/em><em>,<\/em> 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u51c6\u6570\u636e\u96c6\uff0c\u65e8\u5728\u8bc4\u4f30\u5927\u8bed\u8a00\u6a21\u578b\u5bf9\u4e8e\u8868\u683c\u578b\u6570\u636e\u4f5c\u4e3a\u8f93\u5165\u65f6\u7684\u7edf\u8ba1\u5206\u6790\u80fd\u529b\u548c\u56e0\u679c\u63a8\u7406\u80fd\u529b\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Liu, Xiaoyu, et al. &#8220;<strong>Large language models and causal inference in collaboration: A comprehensive survey.<\/strong>&#8221; <em>arXiv preprint arXiv:2403.09606<\/em><em>,<\/em> 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u7bc7\u7efc\u8ff0\u6982\u8ff0\u4e86LLMs\u5982\u4f55\u901a\u8fc7\u5176\u5f3a\u5927\u63a8\u7406\u80fd\u529b\u5e2e\u52a9\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u548c\u56e0\u679c\u6548\u5e94\u4f30\u8ba1\u3002<\/span><\/p>\n<\/li>\n<\/ol>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h2>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u56e0\u679c\u542f\u53d1\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5fae\u8c03<\/span><\/strong><\/span><\/h2>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5229\u7528\u56e0\u679c\u63d0\u5347\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u9886\u57df\uff0c\u56e0\u679c\u65b9\u6cd5\u5df2\u7ecf\u6709\u975e\u5e38\u4e30\u5bcc\u7684\u5e94\u7528\u3002\u8fdb\u5165\u5927\u6a21\u578b\u7684\u65f6\u4ee3\u540e\uff0c\u5bf9\u4e8e\u66f4\u5f3a\u63a8\u7406\u80fd\u529b\u7684\u6316\u6398\u548c\u5229\u7528\u66f4\u52a0\u9700\u8981\u56e0\u679c\u8d4b\u80fd\u3002\u5927\u6a21\u578b\u662f\u5426\u5177\u6709\u590d\u6742\u7684\u903b\u8f91\u63a8\u7406\u80fd\u529b\u4ecd\u7136\u662f\u53d7\u5230\u8d28\u7591\u7684\uff0c\u800c\u56e0\u679c\u63a8\u7406\u5c06\u5728\u7406\u8bba\u548c\u5b9e\u8df5\u4e0a\u90fd\u8ba9\u5927\u6a21\u578b\u7684\u63a8\u7406\u66f4\u52a0\u51c6\u786e\u3002\u4e0d\u8bba\u662f\u5229\u7528\u56e0\u679c\u77e5\u8bc6\u8f85\u52a9\u5927\u6a21\u578b\u63a8\u7406\uff0c\u8fd8\u662f\u7528\u524d\u95e8\u8c03\u6574\u7b49\u7ecf\u5178\u56e0\u679c\u65b9\u6cd5\u53bb\u9664\u5927\u6a21\u578b\u63a8\u7406\u7684\u504f\u5dee\uff0c\u90fd\u53d6\u5f97\u4e86\u663e\u8457\u7684\u6548\u679c\u3002\u6709\u7684\u7814\u7a76\u8861\u91cf\u63d0\u793a\u8bcd\u5bf9\u5927\u6a21\u578b\u751f\u6210\u7684\u56e0\u679c\u6548\u5e94\uff0c\u4ece\u800c\u63ed\u793a\u5176\u4f5c\u7528\u5e76\u6307\u5bfc\u5bf9\u63d0\u793a\u8bcd\u7684\u64cd\u7eb5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Feng, Zijian, et al. &#8220;<strong>Unveiling and Manipulating Prompt Influence in Large Language Models.<\/strong>&#8221; <em>arXiv preprint arXiv:2405.11891<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">&nbsp;&nbsp;\u672c\u6587\u4f30\u8ba1\u5927\u6a21\u578b\u63d0\u793a\u8bcd\u7684\u56e0\u679c\u6548\u5e94\uff0c\u5e76\u636e\u6b64\u6307\u5bfc\u63d0\u793a\u8bcd\u7684\u64cd\u7eb5\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u6a21\u578b\u8f93\u51fa\u3002<\/span><\/p>\n<ol start=\"2\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhang, Congzhi, et al. &#8220;<strong>Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment.<\/strong>&#8221; <em>arXiv preprint arXiv:2403.02738<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">&nbsp;&nbsp;\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a Causal Prompting \u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u4f7f\u7528\u524d\u95e8\u8c03\u6574\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63d0\u793a\u8bcd\u8fdb\u884c\u56e0\u679c\u5e72\u9884\uff0c\u4ee5\u6709\u6548\u51cf\u5c11\u6a21\u578b\u504f\u89c1\uff0c\u5e76\u5728\u591a\u4e2a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u4f18\u5f02\u7684\u6027\u80fd\u3002<\/span><\/p>\n<ol start=\"3\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhou, Bin, et al. &#8220;<strong>CausalKGPT: Industrial structure causal knowledge-enhanced large language model for cause analysis of quality problems in aerospace product manufacturing.<\/strong>&#8221; 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<em>NeurIPS<\/em>, 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">&nbsp;&nbsp;\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u56e0\u679c\u7ed3\u6784\u9a71\u52a8\u7684\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\uff0c\u901a\u8fc7\u5bf9\u865a\u5047\u7279\u5f81\u5e72\u9884\u7684\u6a21\u62df\uff0c\u6765\u63d0\u9ad8\u6587\u672c\u5206\u7c7b\u6a21\u578b\u5728\u9762\u5bf9\u5206\u5e03\u5916\u6cdb\u5316\u95ee\u9898\u65f6\u7684\u9c81\u68d2\u6027\u548c\u51c6\u786e\u6027\u3002<\/span><\/p>\n<ol start=\"6\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, Haotian, et al. &#8220;<strong>Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study.<\/strong>&#8221; <em>AAAI<\/em>, 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">&nbsp;&nbsp;\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u56e0\u679c\u611f\u77e5\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff0c\u7528\u4e8e\u6539\u8fdb\u5927\u8bed\u8a00\u6a21\u578b\u5728\u6cd5\u5f8b\u6587\u672c\u9884\u6d4b\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002\u901a\u8fc7\u5c06\u56e0\u679c\u63a8\u7406\u878d\u5165\u6a21\u578b\u67b6\u6784\u548c\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\uff0c\u63d0\u9ad8\u4e86\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u548c\u9c81\u68d2\u6027\uff0c\u5e76\u5728\u4e09\u4e2a\u5e38\u7528\u7684\u6cd5\u5f8b\u6587\u672c\u9884\u6d4b\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u53d6\u5f97\u4e86\u6700\u4f18\u7684\u6027\u80fd\u3002<\/span><\/p>\n<ol start=\"7\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Liu, Xiaoyu, et al. &#8220;<strong>Large language models and causal inference in collaboration: A comprehensive survey.<\/strong>&#8221; <em>arXiv preprint arXiv:2403.09606<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">&nbsp;&nbsp;\u672c\u6587\u63a2\u8ba8\u4e86\u5982\u4f55\u5229\u7528\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\u6765\u589e\u5f3a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u7406\u89e3\u3001\u63a8\u7406\u3001\u516c\u5e73\u6027\u3001\u5b89\u5168\u6027\u548c\u53ef\u89e3\u91ca\u6027\u65b9\u9762\u7684\u80fd\u529b\uff0c\u5e76\u8ba8\u8bba\u4e86LLMs\u5982\u4f55\u53cd\u8fc7\u6765\u5e2e\u52a9\u53d1\u73b0\u56e0\u679c\u5173\u7cfb\u548c\u4f30\u8ba1\u5904\u7406\u6548\u679c\uff0c\u4ee5\u63a8\u52a8\u66f4\u5148\u8fdb\u548c\u516c\u5e73\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u5171\u540c\u53d1\u5c55\u3002<\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5229\u7528\u56e0\u679c\u63d0\u5347\u5927\u6a21\u578b\u7684\u53ef\u4fe1\u6c34\u5e73<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u968f\u7740\u751f\u6210\u5f0f\u5927\u6a21\u578b\u9010\u6e10\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u533b\u836f\u3001\u91d1\u878d\u3001\u4f20\u5a92\u3001\u519b\u4e8b\u7b49\u5173\u952e\u9886\u57df\uff0c\u4eba\u4eec\u610f\u8bc6\u5230\u53ef\u4fe1\u6c34\u5e73\u5c06\u6210\u4e3a\u5927\u6a21\u578b\u7684\u4e00\u9879\u91cd\u8981\u6027\u80fd\u6307\u6807\u3002\u9664\u4e86\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ef\u89e3\u91ca\u6027\u5dee\u7684\u7f3a\u70b9\uff0c\u5927\u6a21\u578b\u8fd8\u5b58\u5728\u5e7b\u89c9\u7684\u73b0\u8c61\uff0c\u56e0\u800c\u66f4\u5f15\u53d1\u5bf9\u53ef\u4fe1\u4eba\u5de5\u667a\u80fd\u7684\u9700\u8981\u3002\u4e3a\u6b64\uff0c\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u4e00\u4e9b\u5229\u7528\u56e0\u679c\u601d\u60f3\u7684\u65b9\u6cd5\uff0c\u4e3a\u8bc4\u6d4b\u5927\u6a21\u578b\u516c\u5e73\u6027\u3001\u5b89\u5168\u6027\u3001\u53ef\u89e3\u91ca\u6027\u7b49\u5728\u5185\u7684\u53ef\u4fe1\u6c34\u5e73\u63d0\u4f9b\u4e86\u5b9a\u91cf\u4e14\u76f4\u89c2\u7684\u601d\u8def\u3002\u8fd8\u6709\u4e00\u4e9b\u65b9\u6cd5\u5c06\u56e0\u679c\u65b9\u6cd5\u4e0e\u5927\u6a21\u578b\u7ed3\u5408\uff0c\u4ee5\u51cf\u8f7b\u5927\u6a21\u578b\u7684\u504f\u89c1\u6216\u5229\u7528\u5927\u6a21\u578b\u53d1\u73b0\u6709\u5bb3\u4fe1\u606f\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Bhile, Pranav Arvind, et al. &#8220;<strong>Understanding Structure Of LLM using Neural Cluster Knockout.<\/strong>&#8221; <em>ICICV<\/em>,<em> <\/em>2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u901a\u8fc7\u5e94\u7528\u795e\u7ecf\u79d1\u5b66\u6280\u672f\u5230\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\uff0c\u7279\u522b\u662f\u91c7\u7528\u201c\u795e\u7ecf\u96c6\u7fa4\u6572\u9664\u201d\u65b9\u6cd5\uff0c\u63ed\u793a\u4e86\u795e\u7ecf\u7f51\u7edc\u7684\u5185\u90e8\u5de5\u4f5c\u673a\u5236\uff0c\u65e8\u5728\u63d0\u9ad8\u5927\u6a21\u578b\u7cfb\u7edf\u7684\u6548\u7387\u3001\u900f\u660e\u5ea6\u548c\u53ef\u95ee\u8d23\u6027\uff0c\u5e76\u4e3a\u672a\u6765\u66f4\u7cbe\u786e\u53ef\u9760\u7684AI\u7cfb\u7edf\u53d1\u5c55\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/span><\/p>\n<ol start=\"2\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Wu, Zhengxuan, et al. &#8220;<strong>Interpretability at scale: Identifying causal mechanisms in alpaca.<\/strong>&#8221; <em>NeurIPS<\/em>, 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u79cd\u540d\u4e3aBoundless DAS\u7684\u65b0\u65b9\u6cd5\uff0c\u901a\u8fc7\u5bf9\u5927\u8bed\u8a00\u6a21\u578bAlpaca\u8fdb\u884c\u56e0\u679c\u5206\u6790\uff0c\u53d1\u73b0\u4e86\u5176\u89e3\u51b3\u6570\u503c\u63a8\u7406\u95ee\u9898\u65f6\u6240\u4f9d\u8d56\u7684\u4e24\u4e2a\u53ef\u89e3\u91ca\u5e03\u5c14\u53d8\u91cf\u7684\u5185\u90e8\u56e0\u679c\u673a\u5236\uff0c\u5e76\u8bc1\u660e\u4e86\u8fd9\u4e9b\u53d1\u73b0\u5728\u4e0d\u540c\u8f93\u5165\u548c\u6307\u4ee4\u4e0b\u5177\u6709\u9c81\u68d2\u6027\u3002<\/span><\/p>\n<ol start=\"3\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Jenny, David F., et al. &#8220;<strong>Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis.<\/strong>&#8221; <em>arXiv preprint arXiv:<\/em><em>2311.08605v2<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ece\u56e0\u679c\u516c\u5e73\u6027\u5206\u6790\u7684\u89c6\u89d2\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u63d0\u793a\u8bcd\u5de5\u7a0b\u7684\u7b80\u5355\u65b9\u6cd5\u6765\u68c0\u67e5\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5185\u90e8\u51b3\u7b56\u8fc7\u7a0b\uff0c\u5e76\u5206\u6790\u4e86\u6a21\u578b\u5728\u653f\u6cbb\u8fa9\u8bba\u8d28\u91cf\u8bc4\u5206\u4e2d\u8868\u73b0\u51fa\u7684\u504f\u89c1\uff0c\u4ece\u800c\u4e3a\u7406\u89e3\u548c\u51cf\u8f7b\u5927\u6a21\u578b\u7cfb\u7edf\u4e2d\u7684\u504f\u89c1\u63d0\u4f9b\u4e86\u65b0\u7684\u89c6\u89d2\u3002<\/span><\/p>\n<ol start=\"4\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Matton, Katie, et al. &#8220;<strong>Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations.<\/strong>&#8221; <em>ICLR Workshop,<\/em><em> <\/em>2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8fd9\u7bc7\u6587\u7ae0\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u65b9\u6cd5\u6765\u8861\u91cf\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u4f9b\u7684\u89e3\u91ca\u7684\u5fe0\u5b9e\u5ea6\uff0c\u5e76\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u8fd9\u79cd\u65b9\u6cd5\u91cf\u5316\u5fe0\u5b9e\u5ea6\u4ee5\u53ca\u53d1\u73b0\u5305\u62ec\u5426\u8ba4\u5b58\u5728\u793e\u4f1a\u504f\u89c1\u5728\u5185\u7684\u4e0d\u5fe0\u5b9e\u6a21\u5f0f\u3002<\/span><\/p>\n<ol start=\"5\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Sheth, Paras, et al. &#8220;<strong>Causality guided disentanglement for cross-platform hate speech detection.<\/strong>&#8221; <em>WSDM<\/em>, 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u8de8\u5e73\u53f0\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u901a\u8fc7\u56e0\u679c\u5f15\u5bfc\u7684\u89e3\u8026\u65b9\u6cd5\u5c06\u8f93\u5165\u8868\u793a\u5206\u89e3\u4e3a\u4e0d\u53d8\u548c\u5e73\u53f0\u4f9d\u8d56\u7279\u5f81\uff0c\u4ee5\u63d0\u9ad8\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/span><\/p>\n<ol start=\"6\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Wang, Fei, et al. &#8220;<strong>A causal view of entity bias in (large) language models.<\/strong>&#8221; <em>arXiv preprint arXiv:2305.14695,<\/em> 2023.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u5229\u7528\u4e86\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08SCM\uff09\uff0c\u4ee5\u51cf\u8f7b\u5927\u578b\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u5b9e\u4f53\u504f\u5dee\u95ee\u9898\uff0c\u5e76\u901a\u8fc7\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u6240\u63d0\u51fa\u7684\u56e0\u679c\u5e72\u9884\u6280\u672f\u5728\u767d\u76d2\u548c\u9ed1\u76d2\u8bbe\u7f6e\u4e0b\u5bf9\u5173\u7cfb\u62bd\u53d6\u548c\u673a\u5668\u9605\u8bfb\u7406\u89e3\u4efb\u52a1\u7684\u6709\u6548\u6027\u3002<\/span><\/p>\n<ol start=\"7\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Mishra, Ashish, et al. &#8220;<strong>LLM-Guided Counterfactual Data Generation for Fairer AI.<\/strong>&#8221; <em>WWW<\/em>, 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u6307\u5bfc\u751f\u6210\u53cd\u4e8b\u5b9e\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u4ee5\u589e\u5f3a\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u9762\u90e8\u56fe\u50cf\u5206\u6790\u4e2d\u7684\u516c\u5e73\u6027\u548c\u53ef\u4fe1\u5ea6\u3002<\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u6570\u636e\u96c6\u4e0e\u57fa\u51c6<\/strong><\/span><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5927\u8bed\u8a00\u6a21\u578b\u7684\u751f\u6210\u80fd\u529b\u5f97\u5230\u4e86\u666e\u904d\u8ba4\u53ef\uff0c\u4f46\u5bf9\u4e8e\u5176\u63a8\u7406\u80fd\u529b\uff0c\u8bb8\u591a\u7814\u7a76\u4eba\u5458\u5e76\u4e0d\u5b8c\u5168\u4fe1\u670d\u3002\u5927\u6a21\u578b\u5728\u8bb8\u591a\u63a8\u7406\u95ee\u9898\u4e0a\u5f97\u5230\u6b63\u786e\u7ed3\u8bba\u53ef\u80fd\u662f\u7531\u4e8e\u8bad\u7ec3\u6570\u636e\u96c6\u7684\u8bb0\u5fc6\u800c\u975e\u903b\u8f91\u7684\u63a8\u6f14\u3002\u56e0\u6b64\u50cf\u56e0\u679c\u63a8\u7406\u8fd9\u6837\u590d\u6742\u7684\u6570\u5b66\u548c\u903b\u8f91\u63a8\u7406\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u6027\u80fd\u786e\u5b9e\u6709\u5f85\u8bc4\u4f30\u3002\u800c\u4e14\u5728\u56e0\u679c\u4e2d\u5b58\u5728\u7684\u53cd\u4e8b\u5b9e\u63cf\u8ff0\u5728\u8bed\u6599\u5e93\u4e2d\u901a\u5e38\u8fdc\u8fdc\u5c11\u4e8e\u4e8b\u5b9e\u63cf\u8ff0\uff0c\u80fd\u90e8\u5206\u89c4\u907f\u5927\u6a21\u578b\u5bf9\u8bad\u7ec3\u96c6\u8bb0\u5fc6\u7684\u95ee\u9898\uff0c\u66f4\u6709\u6548\u5730\u8bc4\u4ef7\u5927\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002\u76ee\u524d\u5df2\u7ecf\u6709\u7eaf\u6587\u672c\u3001\u591a\u6a21\u6001\u7b49\u8bb8\u591a\u4e0d\u540c\u7684\u57fa\u51c6\uff0c\u7528\u4e8e\u8861\u91cf\u5927\u6a21\u578b\u7684\u56e0\u679c\u80fd\u529b\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Li, Yian, et al. &#8220;<strong>Eyes Can Deceive: Benchmarking Counterfactual Reasoning Abilities of Multi-modal Large Language Models.<\/strong>&#8221; <em>arXiv preprint arXiv:2404.12966<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u65b0\u7684\u57fa\u51c6CFMM\uff08CounterFactual MultiModal reasoning benchmark\uff09\uff0c\u7528\u4e8e\u8bc4\u4f30\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08MLLMs\uff09\u5728\u53cd\u4e8b\u5b9e\u63a8\u7406\u80fd\u529b\u65b9\u9762\u7684\u8868\u73b0\u3002<\/span><\/p>\n<ol start=\"2\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Liu, Xiao, et al. &#8220;<strong>Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.<\/strong>&#8221; <em>arXiv preprint arXiv:2402.17644<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u540d\u4e3aQRDATA\u7684\u57fa\u51c6\uff0c\u65e8\u5728\u8bc4\u4f30\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u5904\u7406\u771f\u5b9e\u4e16\u754c\u6570\u636e\u65f6\u7684\u7edf\u8ba1\u548c\u56e0\u679c\u63a8\u7406\u80fd\u529b\u3002<\/span><\/p>\n<ol start=\"3\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Rodriguez-Cardenas, Daniel, et al. &#8220;<strong>Benchmarking Causal Study to Interpret Large Language Models for Source Code.<\/strong>&#8221; <em>ICSME<\/em><em>, <\/em>2023.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u540d\u4e3aGaleras\u7684\u57fa\u51c6\uff0c\u65e8\u5728\u901a\u8fc7\u56e0\u679c\u63a8\u65ad\u6765\u8bc4\u4f30\u548c\u89e3\u91ca\u5927\u8bed\u8a00\u6a21\u578b\u5728\u8f6f\u4ef6\u5de5\u7a0b\u4efb\u52a1\u4e2d\u7684\u6027\u80fd\uff0c\u5e76\u901a\u8fc7\u6848\u4f8b\u7814\u7a76\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Galeras\u6765\u91cf\u5316\u63d0\u793a\u8bcd\u5de5\u7a0b\u65b9\u6cd5\u5bf9ChatGPT\u4ee3\u7801\u751f\u6210\u6027\u80fd\u7684\u5f71\u54cd\u3002<\/span><\/p>\n<ol start=\"4\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Ji, Zhenlan, et al. &#8220;<strong>Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach.<\/strong>&#8221; <em>arXiv preprint arXiv:2310.06680<\/em><em>,<\/em> 2023.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u5229\u7528\u4e86\u4e00\u79cd\u57fa\u4e8e\u56e0\u679c\u5206\u6790\u7684\u65b9\u6cd5\uff0c\u7cfb\u7edf\u5730\u8bc4\u4f30\u548c\u89e3\u91ca\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u8f93\u5165\u63d0\u793a\uff08prompts\uff09\u4e0e\u751f\u6210\u4ee3\u7801\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u79cd\u65b0\u7684\u56e0\u679c\u56fe\u8868\u793a\u65b9\u6cd5\uff0c\u4ee5\u53ca\u901a\u8fc7\u8c03\u6574\u63d0\u793a\u6765\u6539\u5584\u751f\u6210\u4ee3\u7801\u8d28\u91cf\u7684\u7b56\u7565\u3002<\/span><\/p>\n<ol start=\"5\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Xie, Yuxi, et al. &#8220;<strong>ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning.<\/strong>&#8221; <em>EMNLP<\/em>, 2023.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u540d\u4e3aECHO\u7684\u89c6\u89c9\u8bed\u8a00\u6570\u636e\u96c6\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u4e2a\u7ed3\u5408\u4e86\u5fc3\u667a\u7406\u8bba\uff08ToM\uff09\u7684\u601d\u7ef4\u94fe\u6846\u67b6\uff08Chain-of-Thought, CoT\uff09\u7684\u65b9\u6cd5\uff0c\u7528\u4e8e\u8bc4\u4f30\u5f53\u524dAI\u7cfb\u7edf\u5728\u793e\u4f1a\u60c5\u5883\u4e2d\u57fa\u4e8e\u591a\u6a21\u6001\u4fe1\u606f\u8fdb\u884c\u63a8\u7406\u7684\u80fd\u529b\u3002<\/span><\/p>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h2>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u56e0\u679c\u4e0e\u591a\u6a21\u6001\u5927\u6a21\u578b<\/span><\/strong><\/span><\/h2>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8fd1\u5e74\u6765\uff0c\u56e0\u679c\u65b9\u6cd5\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\uff08CV\uff09\u4e0a\u7684\u4e00\u4e9b\u5e94\u7528\u5df2\u7ecf\u53d6\u5f97\u4e86\u826f\u597d\u7684\u6548\u679c\u3002\u53ef\u4ee5\u9884\u89c1\u7684\u662f\uff0c\u5bf9\u4e8e\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u56e0\u679c\u7684\u601d\u60f3\u5c06\u540c\u6837\u53d1\u6325\u91cd\u8981\u7684\u4f5c\u7528\u3002\u5bf9\u4e8e\u89c6\u89c9\u95ee\u7b54\uff08VQA\uff09\u3001\u89c6\u89c9\u95ee\u9898\u751f\u6210\uff08VQG\uff09\u7b49\u4efb\u52a1\uff0c\u53ef\u4ee5\u81ea\u7136\u5730\u5229\u7528\u56e0\u679c\u65b9\u6cd5\u5efa\u6a21\u89c6\u89c9\u3001\u6587\u672c\u7b49\u6a21\u6001\u5185\u53ca\u6a21\u6001\u95f4\u7684\u5173\u7cfb\uff0c\u6216\u591a\u6a21\u6001\u4fe1\u606f\u4e0e\u5176\u4ed6\u53d8\u91cf\u7684\u5173\u7cfb\u3002\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u4e00\u4e9b\u65b9\u6cd5\uff0c\u7ed3\u5408\u540e\u95e8\u8c03\u6574\u7b49\u7ecf\u5178\u7684\u56e0\u679c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4ece\u7406\u8bba\u4e0a\u6d88\u9664\u5f71\u54cd\u6a21\u578b\u6027\u80fd\u7684\u865a\u5047\u76f8\u5173\uff0c\u5e76\u4e14\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u4e5f\u660e\u663e\u589e\u5f3a\u4e86\u5176\u591a\u6a21\u6001\u80fd\u529b\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, Jiali, et al. &#8220;<strong>Deconfounded visual question generation with causal inference.<\/strong>&#8221; <em>ACM MM<\/em>, 2023.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u56e0\u679c\u63a8\u65ad\u7684\u89c6\u89c9\u95ee\u9898\u751f\u6210\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u901a\u8fc7\u5e72\u9884\u89c6\u89c9\u7279\u5f81\u63d0\u53d6\u548c\u77e5\u8bc6\u5f15\u5bfc\u7684\u8868\u793a\u63d0\u53d6\u6765\u51cf\u8f7b\u89c6\u89c9\u95ee\u9898\u751f\u6210\u4e2d\u7684\u865a\u5047\u76f8\u5173\u6027\uff0c\u4ece\u800c\u751f\u6210\u4e0e\u7ed9\u5b9a\u56fe\u50cf\u548c\u76ee\u6807\u7b54\u6848\u66f4\u4e00\u81f4\u7684\u95ee\u9898\uff0c\u5728VQA v2.0\u548cOKVQA\u6570\u636e\u96c6\u4e0a\u53d6\u5f97\u4e86\u4f18\u4e8e\u73b0\u6709\u6a21\u578b\u7684\u6027\u80fd\u3002<\/span><\/p>\n<ol start=\"2\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, Meiqi, et al. &#8220;<strong>Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective.<\/strong>&#8221; <em>arXiv preprint arXiv:2403.18346<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u56e0\u679c\u6846\u67b6\u6765\u91cf\u5316\u548c\u51cf\u8f7b\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\u5728\u590d\u6742\u591a\u6a21\u6001\u4efb\u52a1\u4e2d\u7684\u5355\u6a21\u6001\u504f\u89c1\uff08\u5982\u8bed\u8a00\u504f\u89c1\u548c\u89c6\u89c9\u504f\u89c1\uff09\u3002<\/span><\/p>\n<ol start=\"3\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhao, Shitian, et al. &#8220;<strong>Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models.<\/strong>&#8221; <em>arXiv preprint arXiv:2312.06685<\/em><em>,<\/em> 2023.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3aCausal-CoG\u7684\u63d0\u793a\u7b56\u7565\uff0c\u901a\u8fc7\u751f\u6210\u548c\u5229\u7528\u4e0a\u4e0b\u6587\u4fe1\u606f\u6765\u589e\u5f3a\u591a\u6a21\u6001\u8bed\u8a00\u6a21\u578b\u5728\u89c6\u89c9\u95ee\u7b54\u4efb\u52a1\u4e2d\u7684\u51c6\u786e\u6027\uff0c\u5e76\u4ece\u56e0\u679c\u5173\u7cfb\u7684\u89d2\u5ea6\u63a2\u8ba8\u4e86\u4e0a\u4e0b\u6587\u4fe1\u606f\u7684\u4f18\u52bf\uff0c\u901a\u8fc7\u56e0\u679c\u65b9\u6cd5\u9009\u62e9\u5bf9\u4e0a\u4e0b\u6587\u4fe1\u606f\u6709\u5e2e\u52a9\u7684\u6837\u672c\u3002<\/span><\/p>\n<ol start=\"4\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Pan, Kaihang, et al. &#8220;<strong>Auto-Encoding Morph-Tokens for Multimodal LLM.<\/strong>&#8221; <em>arXiv preprint arXiv:2405.01926<\/em><em>,<\/em> 2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3aMorph-Token\u7684\u65b0\u578b\u89c6\u89c9\u7f16\u7801\u65b9\u6cd5\uff0c\u5e76\u901a\u8fc7\u4e00\u4e2a\u4e09\u9636\u6bb5\u8bad\u7ec3\u7b56\u7565\u89e3\u51b3\u4e86\u591a\u6a21\u6001\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u89c6\u89c9\u7406\u89e3\u548c\u751f\u6210\u4efb\u52a1\u4e2d\u7684\u76ee\u6807\u51b2\u7a81\u95ee\u9898\uff0c\u5b9e\u73b0\u4e86\u5728\u591a\u6a21\u6001\u7406\u89e3\u548c\u751f\u6210\u4efb\u52a1\u4e0a\u540c\u65f6\u8fbe\u5230\u65b0\u7684\u6700\u4f73\u6027\u80fd\u3002<\/span><\/p>\n<ol start=\"5\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Lu, Feihong, et al. &#8220;<strong>Few-Shot Multimodal Named Entity Recognition Based on Mu<\/strong><strong>lt<\/strong><strong>imodal Causal Intervention Graph.<\/strong>&#8221; <em>LREC-COLING<\/em><em>, <\/em>2024.<\/span><\/p>\n<\/li>\n<\/ol>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u540d\u4e3aMOUSING\u7684\u65b0\u578b\u591a\u6a21\u6001\u56e0\u679c\u5e72\u9884\u56fe\u6a21\u578b\uff0c\u7528\u4e8e\u5904\u7406\u5c0f\u6837\u672c\u591a\u6a21\u6001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u4efb\u52a1\uff0c\u901a\u8fc7\u6784\u5efa\u591a\u6a21\u6001\u56fe\u5e76\u5f15\u5165\u591a\u6a21\u6001\u56e0\u679c\u5e72\u9884\u7b56\u7565\u6765\u51cf\u5c11\u865a\u5047\u5173\u8054\uff0c\u5f3a\u8c03\u51c6\u786e\u5173\u8054\uff0c\u4ece\u800c\u6709\u6548\u5bf9\u9f50\u591a\u6a21\u6001\u8868\u793a\uff0c\u63d0\u9ad8\u5728\u5c0f\u6837\u672c\u60c5\u51b5\u4e0b\u7684\u6a21\u578b\u6027\u80fd\u3002<\/span><\/p>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h2>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u56e0\u679c\u79d1\u5b66\u9886\u57df\u6700\u65b0\u8fdb\u5c55<\/span><\/strong><\/span><\/h2>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\u4e0e\u667a\u80fd\u4f53\u51b3\u7b56<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\uff08Causal Reinforcement Learning, CRL\uff09\u662f\u4e00\u79cd\u7ed3\u5408\u56e0\u679c\u63a8\u7406\u548c\u5f3a\u5316\u5b66\u4e60\u7684\u65b9\u6cd5\uff0c\u7528\u4e8e\u63d0\u5347\u667a\u80fd\u4f53\u5728\u590d\u6742\u73af\u5883\u4e2d\u7684\u51b3\u7b56\u80fd\u529b\u3002\u4f20\u7edf\u7684\u5f3a\u5316\u5b66\u4e60\u4fa7\u91cd\u4e8e\u901a\u8fc7\u8bd5\u9519\u6765\u5b66\u4e60\u7b56\u7565\uff0c\u800c\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\u5219\u5728\u6b64\u57fa\u7840\u4e0a\u52a0\u5165\u4e86\u56e0\u679c\u5173\u7cfb\u7684\u5efa\u6a21\uff0c\u4ee5\u63d0\u9ad8\u667a\u80fd\u4f53\u7684\u5b66\u4e60\u6548\u7387\u548c\u51b3\u7b56\u51c6\u786e\u6027\u3002\u6211\u4eec\u5c06\u63a2\u7a76\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u524d\u6cbf\u65b9\u6cd5\uff0c\u4ee5\u53ca\u5728\uff08\u5927\u6a21\u578b\uff09\u667a\u80fd\u4f53\u51b3\u7b56\uff0c\u535a\u5f08\u4e2d\u7684\u7cfb\u5217\u65b9\u6cd5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Sanghack Lee, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al.<\/span> &#8220;<strong>Characterizing Optimal Mixed Policies: Where to Intervene, What to Observe<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2020.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u4e86\u5728\u591a\u79cd\u51b3\u7b56\u9009\u62e9\u7684\u573a\u666f\u4e2d\uff0c\u5982\u4f55\u57fa\u4e8e\u56e0\u679c\u5206\u6790\u65b9\u6cd5\u5206\u6790\u51b3\u7b56\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ee5\u53ca\u901a\u8fc7\u5206\u6790\u5230\u7684\u5173\u7cfb\u505a\u66f4\u597d\u7684\u51b3\u7b56\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Junzhe Zhang, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al.<\/span> &#8220;<strong>Online Reinforcement Learning for Mixed Policy Scopes<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2022.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u8ba8\u8bba\u4e86\u5f3a\u5316\u5b66\u4e60\u573a\u666f\u5f53\u4e2d\u5982\u4f55\u91c7\u7528\u56e0\u679c\u5206\u6790\u66f4\u597d\u7684\u8fdb\u884c\u5728\u7ebf\u5b66\u4e60\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Maximilian Seitzer, Bernhard Sch\u00f6lkopf, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al.<\/span>&nbsp;&#8220;<strong>Causal Influence Detection for Improving Efficiency in Reinforcement Learning<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2021.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528\u53d1\u73b0\u7684\u56e0\u679c\u5f71\u54cd\u5173\u7cfb\uff0c\u63d0\u5347\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u7684\u5b66\u4e60\u6548\u7387\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Mengyue Yang, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al.<\/span> &#8220;<strong>Invariant Learning via Probability of Sufficient and Necessary Causes<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728\u89c2\u5bdf\u6570\u636e\u4e2d\u8bc6\u522b\u5bf9\u76ee\u6807\u6709\u5145\u5206\u5fc5\u8981\u56e0\u679c\u6548\u5e94\u7684\u8868\u5f81\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Sumedh A. Sontakke,<span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al<\/span>. &#8220;<strong>Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning<\/strong><strong>.<\/strong>&#8221; <em>ICML<\/em>, 2021.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u4e86\u5728\u52a8\u6001\u7684\u53ef\u4ea4\u4e92\u7269\u7406\u573a\u666f\u4e2d\uff0c\u5982\u4f55\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u548c\u56e0\u679c\u5206\u6790\u65b9\u6cd5\uff0c\u5bf9\u89c2\u5bdf\u8fdb\u884c\u56e0\u679c\u89e3\u8026\uff0c\u5206\u8fa8\u51fa\u5bf9\u5e94\u4e0d\u540c\u7269\u7406\u6982\u5ff5\u7684\u8868\u5f81\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Jonathan Richens, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al<\/span>. &#8220;<strong>Robust agents learn causal world models<\/strong><strong>.<\/strong>&#8221; <em>ICLR<\/em>, 2024. Honorable mention outstanding paper award.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u8ba8\u8bba\u4e86\u667a\u80fd\u4f53\u662f\u5426\u5fc5\u987b\u5b66\u4e60\u56e0\u679c\u6a21\u578b\u624d\u80fd\u6cdb\u5316\u5230\u65b0\u9886\u57df\u3002\u672c\u6587\u8868\u660e\u4efb\u4f55\u80fd\u591f\u5728\u4e00\u5927\u7c7b\u5206\u5e03\u53d8\u5316\u4e0b\u6ee1\u8db3\u9057\u61be\u754c\u9650\u7684\u667a\u80fd\u4f53\uff0c\u90fd\u5fc5\u987b\u5b66\u4e60\u5230\u6570\u636e\u751f\u6210\u8fc7\u7a0b\u7684\u8fd1\u4f3c\u56e0\u679c\u6a21\u578b\uff0c\u5bf9\u4e8e\u6700\u4f18\u7684\u667a\u80fd\u4f53\uff0c\u8be5\u6a21\u578b\u4f1a\u6536\u655b\u5230\u771f\u5b9e\u7684\u56e0\u679c\u6a21\u578b<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Lewis Hammond, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al<\/span>. &#8220;<strong>Reasoning about Causality in Games<\/strong><strong>.<\/strong>&#8221; <em>Artificial Intelligence Journal<\/em>, 2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u8ba8\u8bba\u4e86\u5728\u591a\u667a\u80fd\u4f53\u535a\u5f08\u573a\u666f\u91cc\u8003\u8651\u56e0\u679c\u6548\u5e94\u7684\u95ee\u9898\u573a\u666f\uff0c\u63d0\u4f9b\u4e86\u5168\u65b0\u7684\u56e0\u679c\u535a\u5f08\u5b9a\u4e49\u548c\u5206\u6790\u3002<\/span><\/p>\n<\/li>\n<\/ol>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u8868\u5f81\u5b66\u4e60<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u867d\u7136\u57fa\u4e8e\u6df1\u5ea6\u8868\u5f81\u5b66\u4e60\u7684\u5148\u8fdb\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff08\u5305\u62ec\u5927\u8bed\u8a00\u6a21\u578b GPT \u548c LLaMa\uff09\u5728\u6570\u636e\u5206\u6790\u548c\u751f\u6210\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u5b83\u4eec\u901a\u5e38\u4f1a\u8bc6\u522b\u76f8\u5173\u6027\u800c\u4e0d\u662f\u56e0\u679c\u5173\u7cfb\u3002\u8fd9\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6f5c\u5728\u7684\u865a\u5047\u76f8\u5173\u6027\u548c\u7b97\u6cd5\u504f\u5dee\uff0c\u4ece\u800c\u9650\u5236\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\u548c\u53ef\u4fe1\u5ea6\u3002\u56e0\u679c\u8868\u5f81\u5b66\u4e60\uff08Causal Representation Learning\uff09\u65e8\u5728\u7406\u89e3\u6570\u636e\u7684\u751f\u6210\u8fc7\u7a0b\uff0c \u5e76\u7814\u7a76\u6f5c\u5728\u7684\u56e0\u679c\u5173\u7cfb\u3002\u901a\u8fc7\u56e0\u679c\u8868\u5f81\u5b66\u4e60 (CRL)\uff0c\u7814\u7a76\u4eba\u5458\u548c\u4ece\u4e1a\u8005\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u7279\u5f81\u5982\u4f55\u5f71\u54cd\u7ed3\u679c\uff0c\u8bc6\u522b\u53ef\u80fd\u5f71\u54cd\u51b3\u7b56\u548c\u6cdb\u5316\u7684\u6f5c\u5728\u504f\u89c1\u6216\u6df7\u6742\u56e0\u7d20\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Hyvarinen, <span style=\"color: rgb(63, 63, 63);letter-spacing: 0.578px;text-wrap: wrap;\">et al.<\/span> &#8220;<strong>Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2016.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4e3b\u8981\u63d0\u51fa\u4e86\u5229\u7528\u65f6\u5e8f\u6570\u636e\u7684\u975e\u7a33\u6001\u7ed3\u6784\u4f5c\u4e3a\u8f85\u52a9\u4fe1\u606f\u8fdb\u884c\u975e\u7ebf\u6027\u72ec\u7acb\u6210\u5206\u5206\u6790\uff0c\u4ece\u800c\u8bc6\u522b\u6f5c\u5728\u7684\u56e0\u679c\u8868\u5f81\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Khemakhem, Ilyes, et al. &#8220;<strong>Variational Autoencoders and Nonlinear ICA: A Unifying Framework<\/strong><strong>.<\/strong>&#8221; <em>AISTATS<\/em>, 2020.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u8ba8\u8bba\u4e86\u53d8\u5206\u81ea\u7f16\u7801\u5668\u4e0e\u975e\u7ebf\u6027\u72ec\u7acb\u6210\u5206\u5206\u6790\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u63d0\u51fa\u4e86\u5229\u7528\u8f85\u52a9\u53d8\u91cf\uff0c \u901a\u8fc7\u57fa\u4e8e\u53d8\u5206\u81ea\u7f16\u7801\u5668\u7684\u6df1\u5ea6\u751f\u6210\u6a21\u578b\u8fdb\u884c\u53ef\u8bc6\u522b\u6f5c\u5728\u8868\u5f81\u8868\u5f81\u5b66\u4e60\u7684\u7406\u8bba\u6846\u67b6\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Kong, Lingjing, et al. &#8220;<strong>Partial disentanglement for domain adaptation<\/strong><strong>.<\/strong>&#8221; <em>ICML<\/em>, 2022.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u5728\u591a\u6e90\u57df\u81ea\u9002\u5e94\u4efb\u52a1\u4e2d\uff0c\u53ef\u4ee5\u5b66\u4e60\u5177\u6709\u90e8\u5206\u53ef\u8bc6\u522b\u6027\u7684\u56e0\u679c\u8868\u5f81\uff0c\u89e3\u8026\u57df\u53d8\u4e0e\u57df\u4e0d\u53d8\u7279\u5f81\uff0c \u4ece\u800c\u5b9e\u73b0\u57df\u81ea\u9002\u5e94\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Yao, Weiran, et al. &#8220;<strong>Temporally Disentangled Representation Learning<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2022.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u5145\u5206\u53d8\u5316\u6761\u4ef6\u7684\u65f6\u5e8f\u6570\u636e\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u80fd\u591f\u5728\u7a33\u6001\u4e0e\u975e\u7a33\u6001\u3001\u56e0\u679c\u7ed3\u6784\u53d8\u5316\u4e0e\u89c2\u6d4b\u53d8\u5316\u7b49\u591a\u79cd\u573a\u666f\u4e0b\u5b66\u4e60\u53ef\u8bc6\u522b\u7684\u6f5c\u5728\u53d8\u91cf\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zheng, Yujia, et al. &#8220;<strong>On the Identifiability of Nonlinear ICA: Sparsity and Beyond<\/strong><strong>.<\/strong>&#8221; <em>NeurIPS<\/em>, 2022.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8e\u7ed3\u6784\u5316\u7a00\u758f\u6027\u7684\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u65b9\u6cd5\uff0c \u53ef\u4ee5\u5728\u6ca1\u6709\u8f85\u52a9\u53d8\u91cf\u6216\u8005\u5148\u9a8c\u5f52\u7eb3\u504f\u7f6e\u7684\u6761\u4ef6\u4e0b\u5b66\u4e60\u53ef\u8bc6\u522b\u7684\u6f5c\u5728\u8868\u5f81\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Lachapelle, S\u00e9bastien, et al. &nbsp;&#8220;<strong>Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies<\/strong><strong>.<\/strong>&#8221; <em>arXiv preprint arXiv:2401.04890<\/em>, 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u7cfb\u7edf\u4e14\u5168\u9762\u5730\u4ecb\u7ecd\u4e86\u4e00\u79cd\u57fa\u4e8e\u673a\u5236\u7a00\u758f\u6b63\u5219\u5316\u7684\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u65b9\u6cd5\uff0c\u901a\u8fc7\u540c\u65f6\u5b66\u4e60\u6f5c\u5728\u56e0\u7d20\u548c\u89e3\u91ca\u5b83\u4eec\u7684\u7a00\u758f\u56e0\u679c\u56fe\u6a21\u578b\u6765\u5b9e\u73b0\u5177\u6709\u53ef\u8bc6\u522b\u6027\u7684\u7279\u5f81\u89e3\u8026\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, Guangyi, et al. &#8220;<strong>CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process<\/strong><strong>.<\/strong>&#8221; <em>ICML<\/em>, 2024. \u672c\u6587\u63d0\u51fa\u5229\u7528\u65f6\u5e8f\u4e0a\u4e0b\u6587\u4fe1\u606f\u5728\u751f\u6210\u8fc7\u7a0b\u4e0d\u53ef\u9006\u7684\u6761\u4ef6\u4e0b\u8fdb\u884c\u53ef\u8bc6\u522b\u7684\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, Guangyi, et al. &#8220;<strong>LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer<\/strong><strong>.<\/strong>&#8221; <em>ICLR<\/em>, 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u4ee5\u4e8b\u6545\u5f52\u56e0\u4e0e\u53cd\u4e8b\u5b9e\u9884\u6d4b\u4e3a\u4f8b\uff0c\u8ba8\u8bba\u4e86\u56e0\u679c\u8868\u5f81\u5982\u4f55\u88ab\u5e94\u7528\u4e8e\u89c6\u9891\u63a8\u7406\u3002<\/span><\/p>\n<\/li>\n<\/ol>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u53d1\u73b0\u6700\u65b0\u8fdb\u5c55<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u53d1\u73b0\u662f\u4ece\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u56e0\u679c\u5173\u7cfb\u7684\u8fc7\u7a0b\uff0c\u65e8\u5728\u53d1\u73b0\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u4f9d\u8d56\u5173\u7cfb\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u76f8\u5173\u6027\u3002\u5b83\u662f\u56e0\u679c\u63a8\u7406\u7684\u57fa\u7840\uff0c\u5bf9\u4e8e\u9884\u6d4b\u3001\u51b3\u7b56\u5236\u5b9a\u548c\u79d1\u5b66\u7406\u89e3\u975e\u5e38\u91cd\u8981\u3002\u56e0\u679c\u53d1\u73b0\u7684\u6838\u5fc3\u6311\u6218\u5728\u4e8e\u5904\u7406\u9690\u85cf\u53d8\u91cf\u3001\u5faa\u73af\u56e0\u679c\u5173\u7cfb\u3001\u9ad8\u7ef4\u975e\u7ebf\u6027\u6570\u636e\u3001\u52a8\u6001\u53d8\u5316\u5173\u7cfb\uff0c\u540c\u65f6\u786e\u4fdd\u7ed3\u679c\u7684\u53ef\u89e3\u91ca\u6027\u548c\u9ad8\u6548\u8ba1\u7b97\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Montagna , et al. &#8220;<strong>Scalable Causal Discovery with Score Matching.<\/strong>&#8221; <em>CLeaR<\/em>, 2023.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u5c55\u793a\u4e86\u5982\u4f55\u4ece\u89c2\u6d4b\u5230\u7684\u975e\u7ebf\u6027\u52a0\u6027\u9ad8\u65af\u566a\u58f0\u6a21\u578b\u7684\u5bf9\u6570\u4f3c\u7136\u51fd\u6570\u7684\u4e8c\u9636\u5bfc\u6570\u4e2d\u53d1\u73b0\u6574\u4e2a\u56e0\u679c\u56fe\u3002\u8fd9\u4e2a\u65b9\u6cd5\u5b9e\u73b0\u4e86\u539f\u5219\u6027\u548c\u53ef\u6269\u5c55\u7684\u56e0\u679c\u53d1\u73b0\uff0c\u5927\u5927\u964d\u4f4e\u4e86\u8ba1\u7b97\u95e8\u69db\u3002<\/span><\/p>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Wu, Anpeng, et al. &#8220;<strong>Learning Causal Relations from Subsampled Time Series with Two Time-Slices<\/strong><strong>.<\/strong>&#8221; <em>ICML<\/em>, 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u7814\u7a76\u4e86\u4ec5\u4f7f\u7528\u4e24\u4e2a\u65f6\u95f4\u7247\u7684\u5b50\u91c7\u6837\u65f6\u95f4\u5e8f\u5217\u4e2d\u5b66\u4e60\u53d8\u91cf\u95f4\u56e0\u679c\u5173\u7cfb\u7684\u65b9\u6cd5\uff0c\u5f00\u53d1\u4e86\u4e00\u79cd\u6761\u4ef6\u72ec\u7acb\u6027\u51c6\u5219\uff0c\u8be5\u6cd5\u5219\u53ef\u4ee5\u53cd\u590d\u5e94\u7528\u4e8e\u6d4b\u8bd5\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u6bcf\u4e2a\u8282\u70b9\uff0c\u5e76\u8bc6\u522b\u5176\u6240\u6709\u540e\u4ee3\u8282\u70b9\uff0c\u80fd\u591f\u663e\u8457\u964d\u4f4e\u5e72\u9884\u6210\u672c\u548c\u865a\u5047\u8fb9\u7684\u6570\u91cf\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Dong, Xinshuai, et al. &#8220;<strong>A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables<\/strong><strong>.<\/strong>&#8221; <em>ICLR,&nbsp;<\/em>2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u79e9\u7f3a\u9677\u6d4b\u8bd5\u7684\u56e0\u679c\u53d1\u73b0\u6846\u67b6\u3002\u8be5\u6846\u67b6\u5141\u8bb8\u5b58\u5728\u5927\u91cf\u9690\u85cf\u53d8\u91cf\uff0c\u5e76\u4e14\u8fd9\u4e9b\u9690\u85cf\u53d8\u91cf\u4e4b\u95f4\u3001\u9690\u85cf\u53d8\u91cf\u4e0e\u89c2\u6d4b\u53d8\u91cf\u4e4b\u95f4\uff0c\u4ee5\u53ca\u89c2\u6d4b\u53d8\u91cf\u4e4b\u95f4\u53ef\u4ee5\u5b58\u5728\u590d\u6742\u7684\u56e0\u679c\u5173\u7cfb\u3002\u6240\u63d0\u51fa\u7684\u7b97\u6cd5\u80fd\u591f\u6709\u6548\u5730\u5b9a\u4f4d\u9690\u85cf\u53d8\u91cf\uff0c\u786e\u5b9a\u5176\u6570\u91cf\uff0c\u5e76\u63ed\u793a\u5305\u62ec\u89c2\u6d4b\u53d8\u91cf\u548c\u9690\u85cf\u53d8\u91cf\u5728\u5185\u7684\u5b8c\u6574\u56e0\u679c\u7ed3\u6784\uff0c\u76f4\u81f3Markov\u7b49\u4ef7\u7c7b\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Jin, Songyao, et al. &#8220;<strong>Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability<\/strong><strong>.<\/strong>&#8221; <em>ICLR<\/em>, 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u8003\u8651\u7ebf\u6027\u975e\u9ad8\u65af\u6f5c\u5728\u53d8\u91cf\u6a21\u578b\uff0c\u5e76\u5229\u7528\u4e86\u4e00\u79cd\u5e7f\u4e49\u72ec\u7acb\u566a\u58f0\u6761\u4ef6\u6765\u4f30\u8ba1\u8fd9\u6837\u7684\u6f5c\u5728\u53d8\u91cf\u56fe\u3002\u6240\u63d0\u51fa\u7684\u7b97\u6cd5\u901a\u8fc7\u5229\u7528\u9ad8\u9636\u7edf\u8ba1\u91cf\u80fd\u591f\u6709\u6548\u5730\u5b9a\u4f4d\u9690\u85cf\u53d8\u91cf\uff0c\u786e\u5b9a\u5176\u6570\u91cf\uff0c\u5e76\u63ed\u793a\u5305\u62ec\u89c2\u6d4b\u53d8\u91cf\u548c\u9690\u85cf\u53d8\u91cf\u5728\u5185\u7684\u5b8c\u6574\u56e0\u679c\u7ed3\u6784\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Dai, Haoyue, et al. &#8220;<strong>Local Causal Discovery with Linear non-Gaussian Cyclic Models<\/strong><strong>.<\/strong>&#8221; <em>AISTATS<\/em>, 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u901a\u7528\u3001\u7edf\u4e00\u7684\u5c40\u90e8\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u7ebf\u6027\u975e\u9ad8\u65af\u6a21\u578b\uff0c\u65e0\u8bba\u5176\u662f\u5faa\u73af\u7684\u8fd8\u662f\u65e0\u73af\u7684\u3002\u6587\u4e2d\u5c06\u72ec\u7acb\u6210\u5206\u5206\u6790\u7684\u5e94\u7528\u4ece\u5168\u5c40\u6269\u5c55\u5230\u72ec\u7acb\u5b50\u7a7a\u95f4\u5206\u6790\uff0c\u4ece\u800c\u80fd\u591f\u7cbe\u786e\u8bc6\u522b\u76ee\u6807\u53d8\u91cf\u7684Markov\u6bef\u4e2d\u7684\u7b49\u4ef7\u5c40\u90e8\u6709\u5411\u7ed3\u6784\u548c\u56e0\u679c\u5f3a\u5ea6\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Ng, Ignavier, et al. &#8220;<strong>Structure Learning with Continuous Optimization: A Sober Look and Beyond<\/strong><strong>.<\/strong>&#8221; <em>CLeaR<\/em>, 2024.<\/span><\/p>\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u672c\u6587\u63a2\u8ba8\u4e86\u5728\u4f55\u79cd\u60c5\u51b5\u4e0b\uff0c\u8fde\u7eed\u4f18\u5316\u7528\u4e8e\u6709\u5411\u65e0\u73af\u56fe\uff08DAG\uff09\u7ed3\u6784\u5b66\u4e60\u80fd\u591f\u8868\u73b0\u826f\u597d\u6216\u4e0d\u80fd\u8868\u73b0\u826f\u597d\uff0c\u4ee5\u53ca\u4e3a\u4ec0\u4e48\u4f1a\u51fa\u73b0\u8fd9\u79cd\u60c5\u51b5\uff0c\u5e76\u63d0\u51fa\u4e86\u53ef\u80fd\u7684\u6539\u8fdb\u65b9\u5411\u3002<\/span><\/p>\n<\/li>\n<\/ol>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u56e0\u679c\u6570\u636e\u6316\u6398\u6700\u65b0\u8fdb\u5c55<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6570\u636e\u6316\u6398\u662f\u4eba\u5de5\u667a\u80fd\u548c\u6570\u636e\u5e93\u9886\u57df\u7814\u7a76\u7684\u70ed\u70b9\u95ee\u9898\uff0c\u65e8\u5728\u5bf9\u5927\u91cf\u539f\u59cb\u6570\u636e\u8fdb\u884c\u641c\u7d22\u548c\u5206\u6790\u7684\u8fc7\u7a0b\uff0c\u76ee\u7684\u662f\u8bc6\u522b\u6570\u636e\u7684\u89c4\u5f8b\u548c\u63d0\u53d6\u6570\u636e\u7684\u4fe1\u606f\u3002\u7136\u800c\uff0c\u5927\u591a\u6570\u76f8\u5173\u6027\u6570\u636e\u53d1\u6398\u7684\u6a21\u578b\u5b58\u5728\u4ee5\u4e0b\u7684\u6280\u672f\u74f6\u9888\uff1a\u9c81\u68d2\u6027\u5dee\uff0c\u5373\u52a0\u5165\u566a\u58f0\u4f1a\u6216\u6539\u53d8\u6a21\u578b\u5047\u8bbe\u5c06\u5f88\u5927\u7a0b\u5ea6\u4e0a\u5f71\u54cd\u6a21\u578b\u7684\u8f93\u51fa\u7ed3\u679c\uff1b\u53ef\u89e3\u91ca\u6027\u4f4e\uff0c\u5373\u5bf9\u4e8e\u5927\u591a\u6570\uff08\u7279\u522b\u662f\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff09\u7684\u6a21\u578b\u4e0d\u77e5\u9053\u5176\u5185\u5728\u673a\u5236\uff1b\u5916\u63a8\u6027\u5f31\uff0c\u5373\u5728\u90e8\u7f72\u6570\u636e\u5206\u5e03\u4e0e\u8bad\u7ec3\u5206\u5e03\u4e0d\u4e00\u81f4\u65f6\u635f\u5bb3\u6a21\u578b\u8868\u73b0\u3002\u76ee\u524d\uff0c\u8bb8\u591a\u57fa\u4e8e\u56e0\u679c\u7684\u6570\u636e\u6316\u6398\u7684\u65b9\u6cd5\u88ab\u63d0\u51fa\u4ee5\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/p>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Tan, Juntao, et al. &#8220;Counterfactual explainable recommendation.&#8221; CIKM, 2021. \u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u53cd\u4e8b\u5b9e\u53ef\u89e3\u91ca\u63a8\u8350\u65b9\u6cd5\u4ee5\u5bfb\u6c42\u7b80\u5355\uff08\u4f4e\u590d\u6742\u5ea6\uff09\u7684\u63a8\u8350\u548c\u6709\u6548\u7684\u89e3\u91ca\uff0c\u5e76\u4e14\u63d0\u51fa\u4e86\u53ef\u89e3\u91ca\u63a8\u8350\u7684\u8bc4\u4f30\u6307\u6807\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Wang, Zhenlei, et al. &#8220;Counterfactual data-augmented sequential recommendation.&#8221; SIGIR,<em> <\/em>2021. \u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u53cd\u4e8b\u5b9e\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\uff0c\u4ee5\u51cf\u8f7b\u5e8f\u5217\u63a8\u8350\u4e2d\u8bad\u7ec3\u6570\u636e\u7f3a\u5931\u7684\u5f71\u54cd\uff0c\u5e76\u589e\u5f3a\u6a21\u578b\u5e8f\u5217\u63a8\u8350\u7684\u80fd\u529b\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Du, Xiaoyu, et al. &#8220;Invariant representation learning for multimedia recommendation.&#8221; ACM MM, 2022. \u8be5\u7814\u7a76\u5728\u591a\u5a92\u4f53\u63a8\u8350\u9886\u57df\u63d0\u51fa\u4e86\u4e00\u4e2a\u4e0d\u53d8\u8868\u5f81\u5b66\u4e60\u6846\u67b6\u6765\u51cf\u8f7b\u865a\u5047\u76f8\u5173\u6027\u7684\u5f71\u54cd\uff0c\u5e76\u901a\u8fc7\u5b66\u4e60\u5230\u7684\u4e0d\u53d8\u7684\u56e0\u679c\u8868\u5f81\u5bf9\u7528\u6237\u8fdb\u884c\u7269\u54c1\u63a8\u8350\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Wang, Hao, et al. &#8220;ESCM2: entire space counterfactual multi-task model for post-click conversion rate estimation.&#8221; SIGIR, 2022. \u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd \u201c\u5168\u7a7a\u95f4\u53cd\u4e8b\u5b9e\u591a\u4efb\u52a1\u5efa\u6a21\u201d \u7684\u65b9\u6cd5\u4ee5\u540c\u65f6\u89e3\u51b3\u9884\u6d4b\u70b9\u51fb\u540e\u7684\u8f6c\u5316\u7387\u65f6\u7684\u4f30\u8ba1\u504f\u5dee\u548c\u6570\u636e\u7a00\u758f\u6027\u95ee\u9898\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Gao, Chen, et al. &#8220;Causal inference in recommender systems: A survey and future directions.&#8221; ACM Transactions on Information Systems, 2024. \u8be5\u7814\u7a76\u5bf9\u57fa\u4e8e\u56e0\u679c\u63a8\u65ad\u7684\u63a8\u8350\u7cfb\u7edf\u6587\u732e\u8fdb\u884c\u4e86\u5168\u9762\u56de\u987e\uff0c\u5f3a\u8c03\u4e86\u57fa\u4e8e\u76f8\u5173\u6027\u7684\u63a8\u8350\u7cfb\u7edf\u9762\u4e34\u7684\u5178\u578b\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e86\u672a\u6765\u56e0\u679c\u63a8\u8350\u7684\u4e00\u4e9b\u6f5c\u5728\u7814\u7a76\u65b9\u5411\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Li, Haoxuan, et al. &#8220;Debiased collaborative filtering with kernel-based causal balancing.&#8221; ICLR 2024, Spotlight. \u8be5\u7814\u7a76\u5206\u6790\u4e86\u73b0\u6709\u65b9\u6cd5\u5728\u5b66\u4e60\u503e\u5411\u5f97\u5206\u65f6\u5728\u6ee1\u8db3\u56e0\u679c\u5e73\u8861\u7ea6\u675f\u65b9\u9762\u7684\u5c40\u9650\u6027\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u6838\u51fd\u6570\u5728\u518d\u751f\u6838\u5e0c\u5c14\u4f2f\u7279\u7a7a\u95f4\u4e2d\u8fd1\u4f3c\u5e73\u8861\u51fd\u6570\u7684\u65b9\u6cd5\uff0c\u4ee5\u66f4\u597d\u5730\u6ee1\u8db3\u56e0\u679c\u5e73\u8861\u7ea6\u675f\u3002<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Li, Haoxuan, et al. &#8220;Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.&#8221; ICML, 2024. \u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u51e0\u79cd\u65b0\u578b\u7684\u53cc\u7a33\u5065\u4f30\u8ba1\u91cf\u4ee5\u89e3\u51b3\u534f\u540c\u8fc7\u6ee4\u4e2d\u7684\u9009\u62e9\u504f\u5dee\u95ee\u9898\uff0c\u8fd9\u4e9b\u4f30\u8ba1\u91cf\u653e\u5bbd\u4e86\u4f30\u8ba1\u65e0\u504f\u6027\u5bf9\u4e8e\u51c6\u786e\u4f2a\u6807\u7b7e\u4f30\u8ba1\u7684\u5047\u8bbe\u3002<\/span><\/section>\n<\/li>\n<\/ol>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"50\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\u81f4\u8c22\uff1a\u611f\u8c22\u674e\u660a\u8f69\u3001\u6768\u68a6\u6708\u3001\u9648\u5e7f\u4e49\uff0c\u4ee5\u53ca\u5468\u5ddd\u3001\u90d1\u6df3\u5143\u3001\u9ec4\u78a7\u8587\u5bf9\u8bfb\u4e66\u4f1a\u7684\u5927\u529b\u652f\u6301\u4ee5\u53ca\u63a8\u8350\u7684\u8bba\u6587\u9605\u8bfb\u6750\u6599\u3002<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/p>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u5173\u4e8e\u4e3e\u529e\u65b9\u548c\u96c6\u667a\u4ff1\u4e50\u90e8\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u4e3b\u529e\u65b9\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/strong><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u534f\u529e\u65b9\uff1a\u96c6\u667a\u5b66\u56ed<\/strong><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u96c6\u667a\u4ff1\u4e50\u90e8\u6210\u7acb\u4e8e 2003 \u5e74\uff0c\u662f\u4e00\u4e2a\u4ece\u4e8b\u5b66\u672f\u7814\u7a76\u3001\u4eab\u53d7\u79d1\u5b66\u4e50\u8da3\u7684\u63a2\u7d22\u8005\u7684\u56e2\u4f53\uff0c\u4e5f\u662f\u56fd\u5185\u6700\u65e9\u7684\u7814\u7a76\u4eba\u5de5\u667a\u80fd\u3001\u590d\u6742\u7cfb\u7edf\u7684\u79d1\u5b66\u793e\u533a\u3002<strong>\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\uff08\u6c11\u529e\u975e\u8425\u5229\u4f01\u4e1a\uff09<\/strong>\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u7684\u8fd0\u8425\u4e3b\u4f53\uff0c\u957f\u671f\u8fd0\u8425\u793e\u533a\u751f\u6001\uff0c\u50ac\u5316\u7406\u8bba\u521b\u65b0\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u96c6\u667a\u5b66\u56ed<\/strong>\u6210\u7acb\u4e8e2016\u5e74\uff0c\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u5b55\u80b2\u7684\u521b\u4e1a\u56e2\u961f\u3002\u96c6\u667a\u5b66\u56ed\u81f4\u529b\u4e8e\u4f20\u64ad\u590d\u6742\u6027\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u524d\u6cbf\u77e5\u8bc6\u548c\u65b0\u5174\u6280\u672f\uff0c\u4fc3\u8fdb\u3001\u63a8\u52a8\u590d\u6742\u79d1\u5b66\u9886\u57df\u7684\u77e5\u8bc6\u63a2\u7d22\u4e0e\u751f\u6001\u6784\u5efa\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u96c6\u667a\u4ff1\u4e50\u90e8\u8bfb\u4e66\u4f1a<\/strong>\u662f\u9762\u5411\u5e7f\u5927\u79d1\u7814\u5de5\u4f5c\u8005\u7684\u7cfb\u5217\u8bba\u6587\u7814\u8bfb\u6d3b\u52a8\uff0c\u5176\u76ee\u7684\u662f\u5171\u540c\u6df1\u5165\u5b66\u4e60\u63a2\u8ba8\u67d0\u4e2a\u79d1\u5b66\u8bae\u9898\uff0c\u4e86\u89e3\u524d\u6cbf\u8fdb\u5c55\uff0c\u6fc0\u53d1\u79d1\u7814\u7075\u611f\uff0c\u4fc3\u8fdb\u79d1\u7814\u5408\u4f5c\uff0c\u964d\u4f4e\u79d1\u7814\u95e8\u69db\u3002\u52a0\u5165\u96c6\u667aVIP\uff0c\u5373\u53ef\u89e3\u9501\u5305\u62ec\u96c6\u667a\u5b66\u56ed\u7684\u5168\u7ad9\u8bfe\u7a0b\u3001\u8bfb\u4e66\u4f1a\u3002\u8be6\u89c1\uff1a<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247684525&amp;idx=1&amp;sn=bee7098c0fdf998e7efd72def2442287&amp;chksm=e8994b20dfeec2360074b521111d22ada050fec084bd381175d2ffd708e31b3f94482be0daee&amp;scene=21#wechat_redirect\" textvalue=\"\u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><br  \/><\/span><\/section>\n<section style=\"margin-bottom: 0px;\"><br  \/><\/section>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 0px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100208029\" data-ratio=\"0.5712962962962963\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1080\" style=\"\" src=\"\/wp-content\/uploads\/2024\/05\/wxsync-2024-05-d52823b9e62428dc5ee6e5de8d308bbb.png\"  \/><\/p>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 0px;\"><br  \/><\/p>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 0px;\"><br  \/><\/p>\n<p style=\"margin-bottom: 0px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.544px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><span style=\"outline: 0px;color: rgb(255, 255, 255);font-family: PingFangSC-light;font-size: 15px;font-weight: 700;letter-spacing: 0.544px;text-align: left;background-color: rgb(12, 130, 169);\">\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/p>\n<p style=\"display: none;\"><mp-style-type data-value=\"3\"><\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Dan Page for Quanta Magazine \u5bfc\u8bed 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