ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.

Yang B, Liu F, Zou Y, Wu X, Wang Y, Clifton DA

DOI: 10.1109/tpami.2024.3371376
Published: 2024 Aug
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2024.3371376,
  title = {ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.},
  author = {Yang B and Liu F and Zou Y and Wu X and Wang Y and Clifton DA},
  year = {2024},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2024.3371376},
  url = {https://doi.org/10.1109/tpami.2024.3371376}
}

RIS

TY  - JOUR
TI  - ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.
AU  - Yang B
AU  - Liu F
AU  - Zou Y
AU  - Wu X
AU  - Wang Y
AU  - Clifton DA
PY  - 2024
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2024.3371376
UR  - https://doi.org/10.1109/tpami.2024.3371376
ER  -

APA

B, Y., F, L., Y, Z., X, W., Y, W., & DA, C. (2024). ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2024.3371376

Source records

pubmed · retrieved 2026-09-25T02:37:59.330Z
europe-pmc · retrieved 2026-09-25T02:37:59.369Z