research
∙
06/08/2021
FastSeq: Make Sequence Generation Faster
Transformer-based models have made tremendous impacts in natural languag...
share
research
∙
05/11/2021
EL-Attention: Memory Efficient Lossless Attention for Generation
Transformer model with multi-head attention requires caching intermediat...
research
∙
04/16/2021
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
Now, the pre-training technique is ubiquitous in natural language proces...
research
∙
10/04/2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
In this paper, we propose a novel data augmentation method, referred to ...
research
∙
04/30/2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering
Reading long documents to answer open-domain questions remains challengi...
research
∙
01/13/2020