Zaixiang Zheng | DeepAI

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∙ 08/23/2023

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

The recent surge of generative AI has been fueled by the generative powe...

0 Jiasheng Ye, et al. ∙

∙ 02/20/2023

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

While diffusion models have achieved great success in generating continu...

0 Jiasheng Ye, et al. ∙

∙ 11/11/2022

Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators

Recently, non-autoregressive (NAR) neural machine translation models hav...

0 Xinyou Wang, et al. ∙

∙ 09/23/2021

The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21

This paper describes the Volctrans' submission to the WMT21 news transla...

0 Lihua Qian, et al. ∙

∙ 05/15/2021

DirectQE: Direct Pretraining for Machine Translation Quality Estimation

Machine Translation Quality Estimation (QE) is a task of predicting the ...

0 Qu Cui, et al. ∙

∙ 05/07/2021

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

Sequence-to-sequence (seq2seq) problems such as machine translation are ...

0 Zaixiang Zheng, et al. ∙

∙ 12/31/2020

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation

It is well accepted that the choice of token vocabulary largely affects ...

0 Jingjing Xu, et al. ∙

∙ 05/16/2020

RPD: A Distance Function Between Word Embeddings

It is well-understood that different algorithms, training processes, and...

0 Xuhui Zhou, et al. ∙

∙ 02/19/2020

Toward Making the Most of Context in Neural Machine Translation

Document-level machine translation manages to outperform sentence level ...

0 Zaixiang Zheng, et al. ∙

∙ 11/09/2019

Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective

Natural Language Inference (NLI) aims to determine the logic relationshi...

0 Zhen Cheng, et al. ∙

∙ 07/17/2019

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

Relation detection is a core step in many natural language process appli...

0 Peng Wu, et al. ∙

∙ 04/21/2019

Dynamic Past and Future for Neural Machine Translation

Previous studies have shown that neural machine translation (NMT) models...

0 Zaixiang Zheng, et al. ∙

∙ 10/24/2018

Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation

Previous studies show that incorporating external information could impr...

0 Zaixiang Zheng, et al. ∙

∙ 11/27/2017

Modeling Past and Future for Neural Machine Translation

Existing neural machine translation systems do not explicitly model what...

0 Zaixiang Zheng, et al. ∙

∙ 08/05/2017

Neural Machine Translation with Word Predictions

In the encoder-decoder architecture for neural machine translation (NMT)...

0 Rongxiang Weng, et al. ∙

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