b'Biao Zhang'

research

∙ 09/09/2023

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

We introduce MADLAD-400, a manually audited, general domain 3T token mon...

0 Sneha Kudugunta, et al. ∙

research

∙ 05/29/2023

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

Recent works have explored text-guided image editing using diffusion mod...

0 Qian Wang, et al. ∙

research

∙ 05/23/2023

When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale

Multilingual machine translation (MMT), trained on a mixture of parallel...

0 Christos Baziotis, et al. ∙

research

∙ 05/02/2023

SLTUNET: A Simple Unified Model for Sign Language Translation

Despite recent successes with neural models for sign language translatio...

0 Biao Zhang, et al. ∙

research

∙ 03/29/2023

MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path

Image generation using diffusion can be controlled in multiple ways. In ...

0 Qian Wang, et al. ∙

research

∙ 02/21/2023

Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation

For end-to-end speech translation, regularizing the encoder with the Con...

0 Biao Zhang, et al. ∙

research

∙ 01/17/2023

Prompting Large Language Model for Machine Translation: A Case Study

Research on prompting has shown excellent performance with little or eve...

0 Biao Zhang, et al. ∙

research

∙ 10/24/2022

Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks

Fusing deep learning models trained on separately located clients into a...

0 Biao Zhang, et al. ∙

research

∙ 06/09/2022

Revisiting End-to-End Speech-to-Text Translation From Scratch

End-to-end (E2E) speech-to-text translation (ST) often depends on pretra...

0 Biao Zhang, et al. ∙

research

∙ 05/27/2022

3DILG: Irregular Latent Grids for 3D Generative Modeling

We propose a new representation for encoding 3D shapes as neural fields....

0 Biao Zhang, et al. ∙

research

∙ 02/04/2022

Data Scaling Laws in NMT: The Effect of Noise and Architecture

In this work, we study the effect of varying the architecture and traini...

4 Yamini Bansal, et al. ∙

research

∙ 02/01/2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation

Natural language understanding and generation models follow one of the t...

7 Biao Zhang, et al. ∙

research

∙ 09/21/2021

Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents

Document-level neural machine translation (DocNMT) delivers coherent tra...

0 Biao Zhang, et al. ∙

research

∙ 09/16/2021

Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis

We propose a novel and flexible roof modeling approach that can be used ...

0 Jing Ren, et al. ∙

research

∙ 06/01/2021

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation

Due to the great potential in facilitating software development, code ge...

0 Hui Jiang, et al. ∙

research

∙ 04/14/2021

Sparse Attention with Linear Units

Recently, it has been argued that encoder-decoder models can be made mor...

23 Biao Zhang, et al. ∙

research

∙ 10/27/2020

Fast Interleaved Bidirectional Sequence Generation

Independence assumptions during sequence generation can speed up inferen...

1 Biao Zhang, et al. ∙

research

∙ 10/16/2020

Adaptive Feature Selection for End-to-End Speech Translation

Information in speech signals is not evenly distributed, making it an ad...

15 Biao Zhang, et al. ∙

research

∙ 10/16/2020

Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification

We propose a novel 3d shape representation for 3d shape reconstruction f...

9 Biao Zhang, et al. ∙

research

∙ 04/30/2020

Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation

Following previous work on automatic paraphrasing, we assess the feasibi...

0 Rachel Bawden, et al. ∙

research

∙ 04/24/2020

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Massively multilingual models for neural machine translation (NMT) are t...

0 Biao Zhang, et al. ∙

research

∙ 04/24/2020

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models

Sequence-to-sequence models usually transfer all encoder outputs to the ...

0 Biao Zhang, et al. ∙

research

∙ 11/30/2019

Point Cloud Instance Segmentation using Probabilistic Embeddings

In this paper we propose a new framework for point cloud instance segmen...

14 Biao Zhang, et al. ∙

research

∙ 10/16/2019

Root Mean Square Layer Normalization

Layer normalization (LayerNorm) has been successfully applied to various...

0 Biao Zhang, et al. ∙

research

∙ 08/29/2019

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

The general trend in NLP is towards increasing model capacity and perfor...

0 Biao Zhang, et al. ∙

research

∙ 05/30/2019

A Lightweight Recurrent Network for Sequence Modeling

Recurrent networks have achieved great success on various sequential tas...

0 Biao Zhang, et al. ∙

research

∙ 05/28/2019

Revisiting Low-Resource Neural Machine Translation: A Case Study

It has been shown that the performance of neural machine translation (NM...

0 Rico Sennrich, et al. ∙

research

∙ 10/30/2018

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

In this paper, we propose an additionsubtraction twin-gated recurrent ne...

0 Biao Zhang, et al. ∙

research

∙ 07/24/2018

Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

Although neural machine translation(NMT) yields promising translation pe...

0 Jing Yang, et al. ∙

research

∙ 05/02/2018

Accelerating Neural Transformer via an Average Attention Network

With parallelizable attention networks, the neural Transformer is very f...

0 Biao Zhang, et al. ∙

research

∙ 01/16/2018

Variational Recurrent Neural Machine Translation

Partially inspired by successful applications of variational recurrent n...

0 Jinsong Su, et al. ∙

research

∙ 04/27/2017

A GRU-Gated Attention Model for Neural Machine Translation

Neural machine translation (NMT) heavily relies on an attention network ...

0 Biao Zhang, et al. ∙

research

∙ 07/29/2016

Recurrent Neural Machine Translation

The vanilla attention-based neural machine translation has achieved prom...

0 Biao Zhang, et al. ∙

research

∙ 05/25/2016

BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

In this paper, we propose a bidimensional attention based recursive auto...

0 Biao Zhang, et al. ∙

research

∙ 05/25/2016

Variational Neural Machine Translation

Models of neural machine translation are often from a discriminative fam...

0 Biao Zhang, et al. ∙

research

∙ 03/12/2016

Variational Neural Discourse Relation Recognizer

Implicit discourse relation recognition is a crucial component for autom...

0 Biao Zhang, et al. ∙

research

∙ 03/12/2016

Neural Discourse Relation Recognition with Semantic Memory

Humans comprehend the meanings and relations of discourses heavily relyi...

0 Biao Zhang, et al. ∙

Biao Zhang

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