Fei Yuan | DeepAI

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Featured Co-authors

Lei Li
255 publications
Yu Qiao
242 publications
Hai Zhao
159 publications
Nan Duan
128 publications
Jing Li
126 publications
Dong Li
125 publications
Daxin Jiang
100 publications
Jiajun Chen
63 publications
Jian Pei
62 publications
Lingpeng Kong
59 publications
Shujian Huang
57 publications

∙ 08/09/2023

Extrapolating Large Language Models to Non-English by Aligning Languages

Due to the unbalanced training data distribution, the language ability o...

0 Wenhao Zhu, et al. ∙

∙ 07/27/2023

Scaling TransNormer to 175 Billion Parameters

We present TransNormerLLM, the first linear attention-based Large Langua...

0 Zhen Qin, et al. ∙

∙ 05/24/2023

Utility-Probability Duality of Neural Networks

It is typically understood that the training of modern neural networks i...

0 Huang Bojun, et al. ∙

∙ 05/22/2023

Extrapolating Multilingual Understanding Models as Multilingual Generators

Multilingual understanding models (or encoder-based), pre-trained via ma...

0 Bohong Wu, et al. ∙

∙ 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...

0 Qidan Zhu, et al. ∙

∙ 12/20/2022

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation

Traditional multilingual neural machine translation (MNMT) uses a single...

0 Fei Yuan, et al. ∙

∙ 11/07/2022

Temporal superimposed crossover module for effective continuous sign language

The ultimate goal of continuous sign language recognition(CSLR) is to fa...

0 Qidan Zhu, et al. ∙

∙ 07/03/2022

Continuous Sign Language Recognition via Temporal Super-Resolution Network

Aiming at the problem that the spatial-temporal hierarchical continuous ...

0 Qidan Zhu, et al. ∙

∙ 04/08/2022

Multi-scale temporal network for continuous sign language recognition

Continuous Sign Language Recognition (CSLR) is a challenging research ta...

0 Qidan Zhu, et al. ∙

∙ 03/13/2021

Simpson's Bias in NLP Training

In most machine learning tasks, we evaluate a model M on a given data po...

0 Fei Yuan, et al. ∙

∙ 12/11/2020

Reinforced Multi-Teacher Selection for Knowledge Distillation

In natural language processing (NLP) tasks, slow inference speed and hug...

0 Fei Yuan, et al. ∙

∙ 04/29/2020

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension

Multilingual pre-trained models could leverage the training data from a ...

0 Fei Yuan, et al. ∙

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