b'Longyue Wang'

research

∙ 09/03/2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

While large language models (LLMs) have demonstrated remarkable capabili...

0 Yue Zhang, et al. ∙

research

∙ 07/16/2023

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

Modeling discourse – the linguistic phenomena that go beyond individual ...

0 Longyue Wang, et al. ∙

research

∙ 07/06/2023

On the Cultural Gap in Text-to-Image Generation

One challenge in text-to-image (T2I) generation is the inadvertent refle...

0 Bingshuai Liu, et al. ∙

research

∙ 06/15/2023

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Although instruction-tuned large language models (LLMs) have exhibited r...

0 Chenyang Lyu, et al. ∙

research

∙ 05/31/2023

How Does Pretraining Improve Discourse-Aware Translation?

Pretrained language models (PLMs) have produced substantial improvements...

0 Zhihong Huang, et al. ∙

research

∙ 05/25/2023

Revisiting Non-Autoregressive Translation at Scale

In real-world systems, scaling has been critical for improving the trans...

0 Zhihao Wang, et al. ∙

research

∙ 05/22/2023

Deepfake Text Detection in the Wild

Recent advances in large language models have enabled them to reach a le...

0 Yafu Li, et al. ∙

research

∙ 05/17/2023

A Survey on Zero Pronoun Translation

Zero pronouns (ZPs) are frequently omitted in pro-drop languages (e.g. C...

0 Longyue Wang, et al. ∙

research

∙ 05/02/2023

New Trends in Machine Translation using Large Language Models: Case Examples with ChatGPT

Machine Translation (MT) has made significant progress in recent years u...

0 Chenyang Lyu, et al. ∙

research

∙ 04/20/2023

Prompt-Learning for Cross-Lingual Relation Extraction

Relation Extraction (RE) is a crucial task in Information Extraction, wh...

0 Chiaming Hsu, et al. ∙

research

∙ 04/05/2023

Document-Level Machine Translation with Large Language Models

Large language models (LLMs) such as Chat-GPT can produce coherent, cohe...

0 Longyue Wang, et al. ∙

research

∙ 02/16/2023

Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production

Knowledge-aided dialogue response generation aims at augmenting chatbots...

0 Ante Wang, et al. ∙

research

∙ 10/08/2022

ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation

Recently, a new training oaxe loss has proven effective to ameliorate th...

0 Cunxiao Du, et al. ∙

research

∙ 10/05/2021

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation

Pre-training (PT) and back-translation (BT) are two simple and powerful ...

0 Xuebo Liu, et al. ∙

research

∙ 07/17/2021

On the Copying Behaviors of Pre-Training for Neural Machine Translation

Previous studies have shown that initializing neural machine translation...

0 Xuebo Liu, et al. ∙

research

∙ 06/10/2021

Progressive Multi-Granularity Training for Non-Autoregressive Translation

Non-autoregressive translation (NAT) significantly accelerates the infer...

0 Liang Ding, et al. ∙

research

∙ 06/02/2021

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation

Knowledge distillation (KD) is commonly used to construct synthetic data...

0 Liang Ding, et al. ∙

research

∙ 05/27/2021

TranSmart: A Practical Interactive Machine Translation System

Automatic machine translation is super efficient to produce translations...

7 Guoping Huang, et al. ∙

research

∙ 12/29/2020

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning

Encoder layer fusion (EncoderFusion) is a technique to fuse all the enco...

0 Xuebo Liu, et al. ∙

research

∙ 12/29/2020

Understanding and Improving Lexical Choice in Non-Autoregressive Translation

Knowledge distillation (KD) is essential for training non-autoregressive...

0 Liang Ding, et al. ∙

research

∙ 11/02/2020

Context-Aware Cross-Attention for Non-Autoregressive Translation

Non-autoregressive translation (NAT) significantly accelerates the infer...

0 Liang Ding, et al. ∙

research

∙ 10/06/2020

On the Sub-Layer Functionalities of Transformer Decoder

There have been significant efforts to interpret the encoder of Transfor...

8 Yilin Yang, et al. ∙

research

∙ 10/06/2020

On the Sparsity of Neural Machine Translation Models

Modern neural machine translation (NMT) models employ a large number of ...

0 Yong Wang, et al. ∙

research

∙ 05/03/2020

How Does Selective Mechanism Improve Self-Attention Networks?

Self-attention networks (SANs) with selective mechanism has produced sub...

0 Xinwei Geng, et al. ∙

research

∙ 04/28/2020

Self-Attention with Cross-Lingual Position Representation

Position encoding (PE), an essential part of self-attention networks (SA...

0 Liang Ding, et al. ∙

research

∙ 11/22/2019

Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks

The key challenge of multi-domain translation lies in simultaneously enc...

0 Yong Wang, et al. ∙

research

∙ 09/01/2019

Self-Attention with Structural Position Representations

Although self-attention networks (SANs) have advanced the state-of-the-a...

0 Xing Wang, et al. ∙

research

∙ 09/01/2019

One Model to Learn Both: Zero Pronoun Prediction and Translation

Zero pronouns (ZPs) are frequently omitted in pro-drop languages, but sh...

0 Longyue Wang, et al. ∙

research

∙ 09/01/2019

Towards Understanding Neural Machine Translation with Word Importance

Although neural machine translation (NMT) has advanced the state-of-the-...

0 Shilin He, et al. ∙

research

∙ 06/04/2019

Exploiting Sentential Context for Neural Machine Translation

In this work, we present novel approaches to exploit sentential context ...

0 Xing Wang, et al. ∙

research

∙ 06/03/2019

Assessing the Ability of Self-Attention Networks to Learn Word Order

Self-attention networks (SAN) have attracted a lot of interests due to t...

0 Baosong Yang, et al. ∙

research

∙ 04/05/2019

Convolutional Self-Attention Networks

Self-attention networks (SANs) have drawn increasing interest due to the...

0 Baosong Yang, et al. ∙

research

∙ 04/05/2019

Modeling Recurrence for Transformer

Recently, the Transformer model that is based solely on attention mechan...

0 Jie Hao, et al. ∙

research

∙ 02/15/2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement

With the promising progress of deep neural networks, layer aggregation h...

0 Zi-Yi Dou, et al. ∙

research

∙ 12/26/2018

Learning to Refine Source Representations for Neural Machine Translation

Neural machine translation (NMT) models generally adopt an encoder-decod...

0 Xinwei Geng, et al. ∙

research

∙ 10/31/2018

Convolutional Self-Attention Network

Self-attention network (SAN) has recently attracted increasing interest ...

0 Baosong Yang, et al. ∙

research

∙ 10/15/2018

Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...

0 Longyue Wang, et al. ∙

research

∙ 04/05/2018

Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

Although there are increasing and significant ties between China and Por...

0 Siyou Liu, et al. ∙

research

∙ 04/05/2018

Domain Adaptation for Statistical Machine Translation

Statistical machine translation (SMT) systems perform poorly when it is ...

0 Longyue Wang, et al. ∙

research

∙ 01/10/2018

Translating Pro-Drop Languages with Reconstruction Models

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...

0 Longyue Wang, et al. ∙

research

∙ 04/14/2017

Exploiting Cross-Sentence Context for Neural Machine Translation

In translation, considering the document as a whole can help to resolve ...

0 Longyue Wang, et al. ∙

research

∙ 05/22/2016

Automatic Construction of Discourse Corpora for Dialogue Translation

In this paper, a novel approach is proposed to automatically construct p...

0 Longyue Wang, et al. ∙

research

∙ 04/21/2016

A Novel Approach to Dropped Pronoun Translation

Dropped Pronouns (DP) in which pronouns are frequently dropped in the so...

0 Longyue Wang, et al. ∙

Longyue Wang

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