Concept information
Preferred term
ALUM
Definition(s)
- Language model "which regularizes the training objective by applying perturbations in the embedding space that maximizes the adversarial loss" (Liu et al., 2020).
Broader concept(s)
Synonym(s)
- Adversarial training for large neural LangUage Models
Bibliographic citation(s)
- • Liu, X., Cheng, H., He, P., Chen, W., Wang, Y., Poon, H., & Gao, J. (2020). Adversarial training for large neural language models. arXiv:2004.08994 [cs]. http://arxiv.org/abs/2004.08994
has application field
has for input language
has repository
implements
is encoded in
is executed in
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/LTK-KBQWDCLS-T
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