6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Simpson's Bias in NLP Training
Fei Yuan, Longtu Zhang, Huang Bojun +1
In most machine learning tasks, we evaluate a model on a given data population by measuring a population-level metric . Examples of such evaluation metric inclu…
cs.CL2020★ 2 cited
Reinforced Multi-Teacher Selection for Knowledge Distillation
Fei Yuan, Linjun Shou, Jian Pei +4
In natural language processing (NLP) tasks, slow inference speed and huge footprints in GPU usage remain the bottleneck of applying pre-trained deep models in production. As a popu…
cs.CL2020★ 6 cited
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou, Xuanyu Bai +5
Multilingual pre-trained models could leverage the training data from a rich source language (such as English) to improve performance on low resource languages. However, the transf…