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1 Ergebnisse
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GLM-Dialog: Noise-tolerant Pre-training for Knowledge-groun..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Zhang, Jing
;
Zhang, Xiaokang
;
Zhang-Li, Daniel
... - p. 5564-5575 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599832
RT T1
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation
UL https://suche.suub.uni-bremen.de/peid=acm-3599832&Exemplar=1&LAN=DE A1 Zhang, Jing A1 Zhang, Xiaokang A1 Zhang-Li, Daniel A1 Yu, Jifan A1 Yao, Zijun A1 Ma, Zeyao A1 Xu, Yiqi A1 Wang, Haohua A1 Zhang, Xiaohan A1 Lin, Nianyi A1 Lu, Sunrui A1 Li, Juanzi A1 Tang, Jie PB ACM YR 2023 K1 dialogue evaluation K1 dialogue system K1 large language model K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Discourse, dialogue and pragmatics SP 5564 OP 5575 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599832 DO https://dl.acm.org/doi/10.1145/3580305.3599832 SF ELIB - SuUB Bremen
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