Due to the unbalanced training data distribution, the language ability o...
We present TransNormerLLM, the first linear attention-based Large Langua...
It is typically understood that the training of modern neural networks i...
Multilingual understanding models (or encoder-based), pre-trained via ma...
The goal of continuous sign language recognition(CSLR) research is to ap...
Traditional multilingual neural machine translation (MNMT) uses a single...
The ultimate goal of continuous sign language recognition(CSLR) is to
fa...
Aiming at the problem that the spatial-temporal hierarchical continuous ...
Continuous Sign Language Recognition (CSLR) is a challenging research ta...
In most machine learning tasks, we evaluate a model M on a given data
po...
In natural language processing (NLP) tasks, slow inference speed and hug...
Multilingual pre-trained models could leverage the training data from a ...