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08/04/2023
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation
Applying Reinforcement Learning (RL) to sequence generation models enabl...
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05/31/2023
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
Two-Tower Vision-Language (VL) models have shown promising improvements ...
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05/27/2023
Augmenting Large Language Model Translators via Translation Memories
Using translation memories (TMs) as prompts is a promising approach to i...
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05/26/2023
TranSFormer: Slow-Fast Transformer for Machine Translation
Learning multiscale Transformer models has been evidenced as a viable ap...
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12/20/2022
EIT: Enhanced Interactive Transformer
In this paper, we propose a novel architecture, the Enhanced Interactive...
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06/19/2022
Learning Multiscale Transformer Models for Sequence Generation
Multiscale feature hierarchies have been witnessed the success in the co...
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03/17/2022
On Vision Features in Multimodal Machine Translation
Previous work on multimodal machine translation (MMT) has focused on the...
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12/12/2021
Graph Pattern Matching in GQL and SQL/PGQ
As graph databases become widespread, JTC1 – the committee in joint char...
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09/22/2021
The NiuTrans Machine Translation Systems for WMT21
This paper describes NiuTrans neural machine translation systems of the ...
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09/16/2021
The NiuTrans System for WNGT 2020 Efficiency Task
This paper describes the submissions of the NiuTrans Team to the WNGT 20...
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09/16/2021
The NiuTrans System for the WMT21 Efficiency Task
This paper describes the NiuTrans system for the WMT21 translation effic...
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04/06/2021
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation
It has been found that residual networks are an Euler discretization of ...
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12/27/2020
Learning Light-Weight Translation Models from Deep Transformer
Recently, deep models have shown tremendous improvements in neural machi...
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10/08/2020
Shallow-to-Deep Training for Neural Machine Translation
Deep encoders have been proven to be effective in improving neural machi...
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09/19/2020
Weight Distillation: Transferring the Knowledge in Neural Network Parameters
Knowledge distillation has been proven to be effective in model accelera...
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05/07/2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
In encoder-decoder neural models, multiple encoders are in general used ...
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06/05/2019
