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Found 2 papers, 1 papers with code
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
Recent advances in vision-and-language modeling have seen the development of Transformer architectures that achieve remarkable performance on multimodal reasoning tasks.
Masked ELMo: An evolution of ELMo towards fully contextual RNN language models
This paper presents Masked ELMo, a new RNN-based model for language model pre-training, evolved from the ELMo language model.
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