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Wei Wang
492 publications
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134 publications
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110 publications
Jingren Zhou
90 publications
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79 publications
Alexander M. Rush
77 publications
Ji Zhang
74 publications
Luo Si
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Chenliang Li
55 publications
Chen Wu
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∙ 08/07/2023

COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment

Vision-Language Pre-training (VLP) methods based on object detection enj...

0 Chaoya Jiang, et al. ∙

∙ 07/17/2023

BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization

Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...

0 Chaoya Jiang, et al. ∙

∙ 02/01/2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Recent years have witnessed a big convergence of language, vision, and m...

0 Haiyang Xu, et al. ∙

∙ 05/24/2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Large-scale pretrained foundation models have been an emerging paradigm ...

0 Chenliang Li, et al. ∙

∙ 11/17/2021

Achieving Human Parity on Visual Question Answering

The Visual Question Answering (VQA) task utilizes both visual image and ...

0 Ming Yan, et al. ∙

∙ 08/21/2021

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training

Existing approaches to vision-language pre-training (VLP) heavily rely o...

0 Ming Yan, et al. ∙

∙ 06/03/2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

Vision-language pre-training (VLP) on large-scale image-text pairs has a...

0 Haiyang Xu, et al. ∙

∙ 05/24/2021

StructuralLM: Structural Pre-training for Form Understanding

Large pre-trained language models achieve state-of-the-art results when ...

0 Chenliang Li, et al. ∙

∙ 03/14/2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels

Vision-language pre-training (VLP) on large-scale image-text pairs has r...

0 Chenliang Li, et al. ∙

∙ 11/29/2020

Latent Template Induction with Gumbel-CRFs

Learning to control the structure of sentences is a challenging problem ...

0 Yao Fu, et al. ∙

∙ 10/30/2020

VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation

Recent studies about learning multilingual representations have achieved...

0 Fuli Luo, et al. ∙

∙ 04/14/2020

PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation

Self-supervised pre-training has emerged as a powerful technique for nat...

0 Bin Bi, et al. ∙

∙ 09/08/2019

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

The ability of semantic reasoning over the sentence pair is essential fo...

0 Xingyi Cheng, et al. ∙

∙ 09/06/2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Commonsense and background knowledge is required for a QA model to answe...

0 Bin Bi, et al. ∙

∙ 08/13/2019

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

Recently, the pre-trained language model, BERT (Devlin et al.(2018)Devli...

0 Wei Wang, et al. ∙

∙ 11/28/2018

A Deep Cascade Model for Multi-Document Reading Comprehension

A fundamental trade-off between effectiveness and efficiency needs to be...

0 Ming Yan, et al. ∙

∙ 09/29/2017

A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering

This paper proposes a novel neural machine reading model for open-domain...

0 Bin Bi, et al. ∙

∙ 09/27/2017

KeyVec: Key-semantics Preserving Document Representations

Previous studies have demonstrated the empirical success of word embeddi...

0 Bin Bi, et al. ∙

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