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LDSeq: Latent Diffusion Models for Sequence to Sequence Tex..:
, In:
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence
,
Ding, Yizhou
;
Tian, Jidong
;
Mei, Shanxing
... - p. 546-552 , 2023
Link:
https://dl.acm.org/doi/10.1145/3638584.3638617
RT T1 <cTitle>Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence</cTitle>: T1 <Title>LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3638617&Exemplar=1&LAN=DE A1 Ding, Yizhou A1 Tian, Jidong A1 Mei, Shanxing A1 Zhou, Yifan A1 Dong, Yuwu A1 He, Hao A1 Hu, Weisheng PB ACM YR 2023 K1 Diffusion probabilistic models K1 Latent variable models K1 Sequence-to-sequence text generation K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Natural language generation SP 546 OP 552 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638584.3638617 DO https://dl.acm.org/doi/10.1145/3638584.3638617 SF ELIB - SuUB Bremen
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