{"id":31,"date":"2023-02-01T08:20:01","date_gmt":"2023-02-01T08:20:01","guid":{"rendered":"https:\/\/sigkg.cn\/ccks2023\/en\/?page_id=31"},"modified":"2023-06-18T12:56:45","modified_gmt":"2023-06-18T12:56:45","slug":"frontier-trends","status":"publish","type":"page","link":"http:\/\/sigkg.cn\/ccks2023\/en\/frontier\/","title":{"rendered":"Frontiers and Trends Forum"},"content":{"rendered":"\n<p>Title 1: <strong>Knowledge\u00a0Graph\u00a0Construction\u00a0and\u00a0Reasoning:\u00a0Recent\u00a0Progress\u00a0and\u00a0Opportunities<\/strong><\/p>\n\n\n\n<p>Abstract\uff1aKnowledge\u00a0graph\u00a0(KG)\u00a0construction\u00a0and\u00a0reasoning\u00a0are\u00a0research\u00a0fields\u00a0of\u00a0great\u00a0significance,\u00a0aiming\u00a0to\u00a0construct\u00a0and\u00a0reason\u00a0over\u00a0rich\u00a0KGs\u00a0for\u00a0better\u00a0knowledge\u00a0understanding\u00a0and\u00a0processing.\u00a0Recent\u00a0years\u00a0has\u00a0witnessed\u00a0significant\u00a0progress\u00a0in\u00a0KG\u00a0construction\u00a0and\u00a0reasoning.\u00a0This\u00a0talk\u00a0will\u00a0focus\u00a0on\u00a0several\u00a0important\u00a0trends,\u00a0including\u00a0end-to-end\u00a0KG\u00a0construction\u00a0and\u00a0reasoning,\u00a0modularization\u00a0of\u00a0tools\u00a0for\u00a0complex\u00a0KG\u00a0construction\u00a0and\u00a0reasoning,\u00a0diverse\u00a0types\u00a0of\u00a0reasoning,\u00a0multimodal\u00a0data\u00a0integration,\u00a0and\u00a0KG\u00a0construction\u00a0and\u00a0reasoning\u00a0that\u00a0combines\u00a0implicit\u00a0knowledge\u00a0from\u00a0LLMs\u00a0and\u00a0multi-agent\u00a0collaboration.\u00a0Furthermore,\u00a0this\u00a0report\u00a0will\u00a0also\u00a0provide\u00a0a\u00a0brief\u00a0overview\u00a0of\u00a0the\u00a0latest\u00a0developments\u00a0in\u00a0industrial\u00a0applications\u00a0of\u00a0KG\u00a0construction\u00a0and\u00a0reasoning.<\/p>\n\n\n\n<figure class=\"wp-block-image size-medium\"><img decoding=\"async\" loading=\"lazy\" width=\"300\" height=\"300\" src=\"https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-13-300x300.png\" alt=\"\" class=\"wp-image-135\" srcset=\"https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-13-300x300.png 300w, https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-13-150x150.png 150w, https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-13-88x88.png 88w, https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-13.png 408w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>Bio\uff1aDr.\u00a0Ningyu\u00a0Zhang\u00a0is\u00a0an\u00a0associate\u00a0professor\u00a0at\u00a0Zhejiang\u00a0University.\u00a0His\u00a0research\u00a0interests\u00a0include\u00a0knowledge\u00a0graph\u00a0and\u00a0natural\u00a0language\u00a0processing.\u00a0He\u00a0has\u00a0published\u00a0multiple\u00a0top\u00a0conference\u00a0papers\u00a0and\u00a0journal\u00a0articles\u00a0in\u00a0the\u00a0field\u00a0of\u00a0knowledge\u00a0graph\u00a0and\u00a0natural\u00a0language\u00a0processing,\u00a0including\u00a0ACL,\u00a0EMNLP,\u00a0NAACL,\u00a0NeurIPS,\u00a0ICLR,\u00a0and\u00a0more.\u00a0His\u00a0work\u00a0has\u00a0been\u00a0cited\u00a0over\u00a0two\u00a0thousand\u00a0times\u00a0on\u00a0Google\u00a0Scholar,\u00a0and\u00a0four\u00a0of\u00a0his\u00a0papers\u00a0have\u00a0been\u00a0selected\u00a0as\u00a0Paper\u00a0Digest\u00a0Most\u00a0Influential\u00a0Paper.\u00a0He\u00a0has\u00a0received\u00a0the\u00a0second\u00a0prize\u00a0of\u00a0Zhejiang\u00a0Province\u00a0Science\u00a0and\u00a0Technology\u00a0Progress\u00a0Award\u00a0and\u00a0has\u00a0been\u00a0awarded\u00a0the\u00a0Best\u00a0Paper\u00a0or\u00a0Best\u00a0Paper\u00a0Nomination\u00a0at\u00a0the\u00a0IJCKG\u00a0and\u00a0CCKS.\u00a0He\u00a0has\u00a0served\u00a0as\u00a0the\u00a0program\u00a0chair\u00a0for\u00a0ACL\u00a0and\u00a0EMNLP,\u00a0an\u00a0action\u00a0editor\u00a0for\u00a0ARR,\u00a0a\u00a0senior\u00a0program\u00a0committee\u00a0member\u00a0for\u00a0IJCAI,\u00a0an\u00a0associate\u00a0editor\u00a0for\u00a0ACM\u00a0Transactions\u00a0on\u00a0Asian\u00a0and\u00a0Low-Resource\u00a0Language\u00a0Information\u00a0Processing,\u00a0and\u00a0a\u00a0program\u00a0committee\u00a0member\u00a0for\u00a0conferences\u00a0such\u00a0as\u00a0NeurIPS,\u00a0ICLR,\u00a0and\u00a0ICML.\u00a0He\u00a0is\u00a0also\u00a0a\u00a0member\u00a0of\u00a0the\u00a0Language\u00a0and\u00a0Knowledge\u00a0Computing\u00a0Committee\u00a0and\u00a0the\u00a0Youth\u00a0Working\u00a0Committee\u00a0of\u00a0the\u00a0Chinese\u00a0Information\u00a0Processing\u00a0Society\u00a0of\u00a0China.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Title 2: <strong>Knowledge-Enhanced\u00a0Large-Scale\u00a0Language\u00a0Models<\/strong><\/p>\n\n\n\n<p>Abstract\uff1aWith\u00a0the\u00a0development\u00a0of\u00a0large-scale\u00a0language\u00a0models\u00a0and\u00a0generative\u00a0artificial\u00a0intelligence\u00a0technology,\u00a0large\u00a0conversational\u00a0models\u00a0such\u00a0as\u00a0ChatGPT\u00a0have\u00a0attracted\u00a0widespread\u00a0attention\u00a0in\u00a0academia\u00a0and\u00a0industry.\u00a0They\u00a0have\u00a0been\u00a0successfully\u00a0applied\u00a0in\u00a0various\u00a0scenarios\u00a0such\u00a0as\u00a0information\u00a0retrieval,\u00a0code\u00a0generation,\u00a0intelligent\u00a0customer\u00a0service,\u00a0and\u00a0text\u00a0editing.\u00a0While\u00a0the\u00a0immense\u00a0size\u00a0of\u00a0these\u00a0models\u00a0and\u00a0their\u00a0massive\u00a0unsupervised\u00a0pretraining\u00a0corpora\u00a0enable\u00a0them\u00a0to\u00a0store\u00a0vast\u00a0amounts\u00a0of\u00a0the\u00a0general\u00a0domain\u00a0and\u00a0specialized\u00a0knowledge,\u00a0as\u00a0well\u00a0as\u00a0exhibit\u00a0excellent\u00a0text\u00a0generation\u00a0and\u00a0language\u00a0understanding\u00a0capabilities,\u00a0they\u00a0still\u00a0face\u00a0challenges\u00a0related\u00a0to\u00a0fabricating\u00a0facts\u00a0and\u00a0producing\u00a0misleading\u00a0statements.\u00a0This\u00a0talk\u00a0will\u00a0focus\u00a0on\u00a0the\u00a0integration\u00a0of\u00a0external\u00a0knowledge\u00a0bases\u00a0and\u00a0the\u00a0mining\u00a0and\u00a0refinement\u00a0of\u00a0internal\u00a0knowledge\u00a0within\u00a0large\u00a0language\u00a0models,\u00a0which\u00a0significantly\u00a0improve\u00a0the\u00a0issues\u00a0of\u00a0fabricating\u00a0facts\u00a0and\u00a0generating\u00a0misleading\u00a0statements.\u00a0Furthermore,\u00a0by\u00a0integrating\u00a0with\u00a0knowledge\u00a0bases,\u00a0the\u00a0complex\u00a0reasoning\u00a0and\u00a0continual\u00a0learning\u00a0abilities\u00a0of\u00a0large\u00a0models\u00a0can\u00a0be\u00a0further\u00a0enhanced.<\/p>\n\n\n\n<figure class=\"wp-block-image size-medium\"><img decoding=\"async\" loading=\"lazy\" width=\"300\" height=\"274\" src=\"https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-14-300x274.png\" alt=\"\" class=\"wp-image-136\" srcset=\"https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-14-300x274.png 300w, https:\/\/sigkg.cn\/ccks2023\/en\/wp-content\/uploads\/2023\/06\/image-14.png 768w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>Bio\uff1aDr.\u00a0Lu\u00a0Chen\u00a0is\u00a0an\u00a0Assistant\u00a0Research\u00a0Professor\u00a0in\u00a0the\u00a0Department\u00a0of\u00a0Computer\u00a0Science\u00a0and\u00a0Engineering\u00a0at\u00a0Shanghai\u00a0Jiao\u00a0Tong\u00a0University.\u00a0\u00a0\u00a0His\u00a0research\u00a0interests\u00a0include\u00a0intelligent\u00a0dialogue\u00a0and\u00a0question-answering\u00a0systems,\u00a0natural\u00a0language\u00a0processing,\u00a0etc.\u00a0\u00a0\u00a0He\u00a0has\u00a0published\u00a0over\u00a040\u00a0papers\u00a0in\u00a0major\u00a0international\u00a0conferences\u00a0and\u00a0journals\u00a0in\u00a0the\u00a0field\u00a0of\u00a0natural\u00a0language\u00a0processing,\u00a0such\u00a0as\u00a0TACL,\u00a0ACL,\u00a0EMNLP,\u00a0and\u00a0NAACL.\u00a0\u00a0\u00a0He\u00a0has\u00a0received\u00a0COLING2018\u00a0Area\u00a0Chair\u00a0Favorites,\u00a0NCMMSC2022\u00a0Best\u00a0Paper\u00a0Award,\u00a0and\u00a0a\u00a0nomination\u00a0for\u00a02021\u00a0CCF\u00a0Outstanding\u00a0Ph.D.\u00a0Thesis\u00a0Award.\u00a0\u00a0\u00a0He\u00a0has\u00a0participated\u00a0in\u00a0some\u00a0international\u00a0challenges\u00a0in\u00a0the\u00a0field\u00a0of\u00a0intelligent\u00a0human-computer\u00a0dialogue\u00a0and\u00a0question\u00a0answering,\u00a0such\u00a0as\u00a0DSTC,\u00a0Spider,\u00a0CSpider,\u00a0and\u00a0CBLUE2.0,\u00a0winning\u00a0championships\u00a0or\u00a0achieving\u00a0first\u00a0place.\u00a0\u00a0Some\u00a0of\u00a0his\u00a0research\u00a0outcomes\u00a0have\u00a0been\u00a0widely\u00a0applied\u00a0in\u00a0the\u00a0industry\u00a0and\u00a0He\u00a0received\u00a0the\u00a023rd\u00a0China\u00a0Patent\u00a0Award.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title 1: Knowledge\u00a0Graph\u00a0Construction\u00a0and\u00a0Reasoning:\u00a0Recent\u00a0Progress\u00a0and\u00a0Opportunities Abstract\uff1aKnowledge\u00a0graph\u00a0(KG)\u00a0construction\u00a0and\u00a0reasoning\u00a0are\u00a0research\u00a0fields\u00a0of\u00a0great\u00a0significance,\u00a0aiming\u00a0to\u00a0construct\u00a0and\u00a0reason\u00a0over\u00a0rich\u00a0KGs\u00a0for\u00a0better\u00a0knowledge\u00a0understanding\u00a0and\u00a0processing.\u00a0Recent\u00a0years\u00a0has\u00a0witnessed\u00a0significant\u00a0progress\u00a0in\u00a0KG\u00a0construction\u00a0and\u00a0reasoning.\u00a0This\u00a0talk\u00a0will\u00a0focus\u00a0on\u00a0several\u00a0important\u00a0trends,\u00a0including\u00a0end-to-end\u00a0KG\u00a0construction\u00a0and\u00a0reasoning,\u00a0modularization\u00a0of\u00a0tools\u00a0for\u00a0complex\u00a0KG\u00a0construction\u00a0and\u00a0reasoning,\u00a0diverse\u00a0types\u00a0of\u00a0reasoning,\u00a0multimodal\u00a0data\u00a0integration,\u00a0and\u00a0KG\u00a0construction\u00a0and\u00a0reasoning\u00a0that\u00a0combines\u00a0implicit\u00a0knowledge\u00a0from\u00a0LLMs\u00a0and\u00a0multi-agent\u00a0collaboration.\u00a0Furthermore,\u00a0this\u00a0report\u00a0will\u00a0also\u00a0provide\u00a0a\u00a0brief\u00a0overview\u00a0of\u00a0the\u00a0latest\u00a0developments\u00a0in\u00a0industrial\u00a0applications\u00a0of\u00a0KG\u00a0construction\u00a0and\u00a0reasoning. Bio\uff1aDr.\u00a0Ningyu\u00a0Zhang\u00a0is\u00a0an\u00a0associate\u00a0professor\u00a0at\u00a0Zhejiang\u00a0University.\u00a0His\u00a0research\u00a0interests\u00a0include\u00a0knowledge\u00a0graph\u00a0and\u00a0natural\u00a0language\u00a0processing.\u00a0He\u00a0has\u00a0published\u00a0multiple\u00a0top\u00a0conference\u00a0papers\u00a0and\u00a0journal\u00a0articles\u00a0in\u00a0the\u00a0field\u00a0of\u00a0knowledge\u00a0graph\u00a0and\u00a0natural\u00a0language\u00a0processing,\u00a0including\u00a0ACL,\u00a0EMNLP,\u00a0NAACL,\u00a0NeurIPS,\u00a0ICLR,\u00a0and\u00a0more.\u00a0His\u00a0work\u00a0has\u00a0been\u00a0cited\u00a0over\u00a0two\u00a0thousand\u00a0times\u00a0on\u00a0Google\u00a0Scholar,\u00a0and\u00a0four\u00a0of\u00a0his\u00a0papers\u00a0have\u00a0been\u00a0selected\u00a0as\u00a0Paper\u00a0Digest\u00a0Most\u00a0Influential\u00a0Paper.\u00a0He\u00a0has\u00a0received\u00a0the\u00a0second\u00a0prize\u00a0of\u00a0Zhejiang\u00a0Province\u00a0Science\u00a0and\u00a0Technology\u00a0Progress\u00a0Award\u00a0and\u00a0has\u00a0been\u00a0awarded\u00a0the\u00a0Best\u00a0Paper\u00a0or\u00a0Best\u00a0Paper\u00a0Nomination\u00a0at\u00a0the\u00a0IJCKG\u00a0and\u00a0CCKS.\u00a0He\u00a0has\u00a0served\u00a0as\u00a0the\u00a0program\u00a0chair\u00a0for\u00a0ACL\u00a0and\u00a0EMNLP,\u00a0an\u00a0action\u00a0editor\u00a0for\u00a0ARR,\u00a0a\u00a0senior\u00a0program\u00a0committee\u00a0member\u00a0for\u00a0IJCAI,\u00a0an\u00a0associate\u00a0editor\u00a0for\u00a0ACM\u00a0Transactions\u00a0on\u00a0Asian\u00a0and\u00a0Low-Resource\u00a0Language\u00a0Information\u00a0Processing,\u00a0and\u00a0a\u00a0program\u00a0committee\u00a0member\u00a0for\u00a0conferences\u00a0such\u00a0as\u00a0NeurIPS,\u00a0ICLR,\u00a0and\u00a0ICML.\u00a0He\u00a0is\u00a0also\u00a0a\u00a0member\u00a0of\u00a0the\u00a0Language\u00a0and\u00a0Knowledge\u00a0Computing\u00a0Committee\u00a0and\u00a0the\u00a0Youth\u00a0Working\u00a0Committee\u00a0of\u00a0the\u00a0Chinese\u00a0Information\u00a0Processing\u00a0Society\u00a0of\u00a0China. Title 2: Knowledge-Enhanced\u00a0Large-Scale\u00a0Language\u00a0Models Abstract\uff1aWith\u00a0the\u00a0development\u00a0of\u00a0large-scale\u00a0language\u00a0models\u00a0and\u00a0generative\u00a0artificial\u00a0intelligence\u00a0technology,\u00a0large\u00a0conversational\u00a0models\u00a0such\u00a0as\u00a0ChatGPT\u00a0have\u00a0attracted\u00a0widespread\u00a0attention\u00a0in\u00a0academia\u00a0and\u00a0industry.\u00a0They\u00a0have\u00a0been\u00a0successfully\u00a0applied\u00a0in\u00a0various\u00a0scenarios\u00a0such\u00a0as\u00a0information\u00a0retrieval,\u00a0code\u00a0generation,\u00a0intelligent\u00a0customer\u00a0service,\u00a0and\u00a0text\u00a0editing.\u00a0While\u00a0the\u00a0immense\u00a0size\u00a0of\u00a0these\u00a0models\u00a0and\u00a0their\u00a0massive\u00a0unsupervised\u00a0pretraining\u00a0corpora\u00a0enable\u00a0them\u00a0to\u00a0store\u00a0vast\u00a0amounts\u00a0of\u00a0the\u00a0general\u00a0domain\u00a0and\u00a0specialized\u00a0knowledge,\u00a0as\u00a0well\u00a0as\u00a0exhibit\u00a0excellent\u00a0text\u00a0generation\u00a0and\u00a0language\u00a0understanding\u00a0capabilities,\u00a0they\u00a0still\u00a0face\u00a0challenges\u00a0related\u00a0to\u00a0fabricating\u00a0facts\u00a0and\u00a0producing\u00a0misleading\u00a0statements.\u00a0This\u00a0talk\u00a0will\u00a0focus\u00a0on\u00a0the\u00a0integration\u00a0of\u00a0external\u00a0knowledge\u00a0bases\u00a0and\u00a0the\u00a0mining\u00a0and\u00a0refinement\u00a0of\u00a0internal\u00a0knowledge\u00a0within\u00a0large\u00a0language\u00a0models,\u00a0which\u00a0significantly\u00a0improve\u00a0the\u00a0issues\u00a0of\u00a0fabricating\u00a0facts\u00a0and\u00a0generating\u00a0misleading\u00a0statements.\u00a0Furthermore,\u00a0by\u00a0integrating\u00a0with\u00a0knowledge\u00a0bases,\u00a0the\u00a0complex\u00a0reasoning\u00a0and\u00a0continual\u00a0learning\u00a0abilities\u00a0of\u00a0large\u00a0models\u00a0can\u00a0be\u00a0further\u00a0enhanced. 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