156 citations · 243 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 67 cited
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong +21
In this paper, we introduce XGLUE, a new benchmark dataset that can be used to train large-scale cross-lingual pre-trained models using multilingual and bilingual corpora and evalu…
cs.CL2020★ 20 cited
XGPT: Cross-modal Generative Pre-Training for Image Captioning
Qiaolin Xia, Haoyang Huang, Nan Duan +7
While many BERT-based cross-modal pre-trained models produce excellent results on downstream understanding tasks like image-text retrieval and VQA, they cannot be applied to genera…
cs.CV2020★ 156 cited
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data
Di Qi, Lin Su, Jia Song +3
In this paper, we introduce a new vision-language pre-trained model -- ImageBERT -- for image-text joint embedding. Our model is a Transformer-based model, which takes different mo…