Wei Wang

According to our database, Wei Wang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Polyp-DAM: Polyp segmentation via depth anything model.

Zhuoran Zheng, Chen Wu, Wei Wang, Yeying Jin, Xiuyi Jia

CoRR, 2024

2023

Achieving Human Parity on Visual Question Answering.

Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin

ACM Trans. Inf. Syst., 2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.

Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

CoRR, 2023

How well do Large Language Models perform in Arithmetic tasks?

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang

CoRR, 2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling.

Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang

CoRR, 2023

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

Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou

Proceedings of the International Conference on Machine Learning, 2023

PEER: Pre-training ELECTRA Extended by Ranking.

Ru He, Wei Wang, Songfang Huang, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si

CoRR, 2022

STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training.

Xiaoyang Sun, Wei Wang, Shenghao Qiu, Renyu Yang, Songfang Huang, Jie Xu, Zheng Wang

Proceedings of the SC22: International Conference for High Performance Computing, 2022

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

Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Achieving Human Parity on Visual Question Answering.

Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin

CoRR, 2021

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

Ming Yan, Haiyang Xu, Chenliang Li, Bin Bi, Junfeng Tian, Min Gui, Wei Wang

CoRR, 2021

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

Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang

CoRR, 2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction.

Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

StructuralLM: Structural Pre-training for Form Understanding.

Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Pretraining Framework for Passage Ranking and Expansion.

Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

CoRR, 2020

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

Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang

CoRR, 2020

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

Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks.

Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.

Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang

CoRR, 2019

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

Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, Luo Si

CoRR, 2019

IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.

Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering.

Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Deep Cascade Model for Multi-Document Reading Comprehension.

Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering.

Wei Wang, Chen Wu, Ming Yan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018