research
∙
05/24/2023
Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing
Most research about natural language generation (NLG) relies on evaluati...
share
research
∙
05/23/2023
One-stop Training of Multiple Capacity Models for Multilingual Machine Translation
Training models with varying capacities can be advantageous for deployin...
research
∙
05/11/2023
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Large language models (LLMs) demonstrate impressive multilingual capabil...
research
∙
05/11/2023
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
Large language models (LLMs) have shown surprisingly good performance in...
research
∙
01/17/2023
HanoiT: Enhancing Context-aware Translation via Selective Context
Context-aware neural machine translation aims to use the document-level ...
research
∙
12/20/2022
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator
Pre-trained models have achieved remarkable success in natural language ...
research
∙
12/15/2022
TRIP: Triangular Document-level Pre-training for Multilingual Language Models
Despite the current success of multilingual pre-training, most prior wor...
research
∙
09/28/2022
Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation
Multilingual machine translation has been proven an effective strategy t...
research
∙
07/29/2022
GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation
Transformer structure, stacked by a sequence of encoder and decoder netw...
research
∙
02/10/2022
NÃœWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN
Language guided image inpainting aims to fill in the defective regions o...
research
∙
01/05/2022
SMDT: Selective Memory-Augmented Neural Document Translation
Existing document-level neural machine translation (NMT) models have suf...
research
∙
11/03/2021
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task
This report describes Microsoft's machine translation systems for the WM...
research
∙
12/31/2020
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
Multilingual machine translation enables a single model to translate bet...
research
∙
06/04/2020
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training
This paper presents a Multitask Multilingual Multimodal Pre-trained mode...
research
∙
03/03/2020
XGPT: Cross-modal Generative Pre-Training for Image Captioning
While many BERT-based cross-modal pre-trained models produce excellent r...
research
∙
02/15/2020
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
We propose UniViLM: a Unified Video and Language pre-training Model for ...
research
∙
09/03/2019
