research
∙
08/09/2023
Extrapolating Large Language Models to Non-English by Aligning Languages
Due to the unbalanced training data distribution, the language ability o...
share
research
∙
07/27/2023
Scaling TransNormer to 175 Billion Parameters
We present TransNormerLLM, the first linear attention-based Large Langua...
research
∙
05/24/2023
Utility-Probability Duality of Neural Networks
It is typically understood that the training of modern neural networks i...
research
∙
05/22/2023
Extrapolating Multilingual Understanding Models as Multilingual Generators
Multilingual understanding models (or encoder-based), pre-trained via ma...
research
∙
03/13/2023
Continuous sign language recognition based on cross-resolution knowledge distillation
The goal of continuous sign language recognition(CSLR) research is to ap...
research
∙
12/20/2022
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation
Traditional multilingual neural machine translation (MNMT) uses a single...
research
∙
11/07/2022
Temporal superimposed crossover module for effective continuous sign language
The ultimate goal of continuous sign language recognition(CSLR) is to fa...
research
∙
07/03/2022
Continuous Sign Language Recognition via Temporal Super-Resolution Network
Aiming at the problem that the spatial-temporal hierarchical continuous ...
research
∙
04/08/2022
Multi-scale temporal network for continuous sign language recognition
Continuous Sign Language Recognition (CSLR) is a challenging research ta...
research
∙
03/13/2021
Simpson's Bias in NLP Training
In most machine learning tasks, we evaluate a model M on a given data po...
research
∙
12/11/2020
Reinforced Multi-Teacher Selection for Knowledge Distillation
In natural language processing (NLP) tasks, slow inference speed and hug...
research
∙
04/29/2020
