research
∙
02/18/2023
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
Generative Pre-trained Transformer (GPT) models have shown remarkable ca...
share
research
∙
10/18/2022
Domain Specific Sub-network for Multi-Domain Neural Machine Translation
This paper presents Domain-Specific Sub-network (DoSS). It uses a set of...
research
∙
08/11/2022
Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation
This paper proposes a simple yet effective method to improve direct (X-t...
research
∙
11/26/2021
Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs
This paper describes our submission to the constrained track of WMT21 sh...
research
∙
09/22/2021
Scalable and Efficient MoE Training for Multitask Multilingual Models
The Mixture of Experts (MoE) models are an emerging class of sparsely ac...
research
∙
11/16/2020
