Masked Language Modeling (MLM) is a powerful technique in Natural Language Processing (NLP) that enables models to understand context and predict missing words in a sentence. It's a key component of ...

Most natural language understanding breakthroughs occur in popularly spoken languages, while low-resource languages are rarely examined. We pre-trained as well as compared different Transformer-based ...

Unified vision-language frameworks have greatly advanced in recent years, most of which adopt an encoder-decoder architecture to unify image-text tasks as sequence-to-sequence generation. However, ...

MLM use the encoder module to mask some of its inputs, challenging the model to fill in the gaps. At the same time, CLM predicts the next element in the sequence using a masked attention layer in the ...

Multilingual pre-trained language models, such as mBERT and XLM-R, have shown impressive cross-lingual ability. Surprisingly, both of them use multilingual masked language model (MLM) without any ...