Preprint2020
LamBERT
Unknown
LAMBERT enhances RoBERTa with layout embeddings and relative bias for layout-aware document understanding without raw images.
0Feb 1, 2020
arXiv
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Unknown
LAMBERT enhances RoBERTa with layout embeddings and relative bias for layout-aware document understanding without raw images.
Unknown
DeBERTa enhances BERT and RoBERTa through disentangled attention, an enhanced mask decoder, and virtual adversarial training.
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XLM-RoBERTa scales multilingual masked language modeling to 100 languages, achieving strong cross-lingual transfer without translation objectives.
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RoBERTa shows BERT was undertrained and achieves state-of-the-art by optimizing hyperparameters and training on more data.