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Li Dong
Li Dong
Microsoft Research
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Titel
Zitiert von
Zitiert von
Jahr
BEiT: BERT Pre-Training of Image Transformers
H Bao, L Dong, S Piao, F Wei
International Conference on Learning Representations, 2022
29162022
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
X Li, X Yin, C Li, X Hu, P Zhang, L Zhang, L Wang, H Hu, L Dong, F Wei, ...
European Conference on Computer Vision (ECCV 2020), 2020
21162020
Swin Transformer V2: Scaling Up Capacity and Resolution
Z Liu, H Hu, Y Lin, Z Yao, Z Xie, Y Wei, J Ning, Y Cao, Z Zhang, L Dong, ...
International Conference on Computer Vision and Pattern Recognition, 2022
18762022
Unified Language Model Pre-training for Natural Language Understanding and Generation
L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
18172019
Long Short-Term Memory-Networks for Machine Reading
J Cheng, L Dong, M Lapata
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
16512016
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
L Dong, F Wei, C Tan, D Tang, M Zhou, K Xu
The 52nd Annual Meeting of the Association for Computational Linguistics …, 2014
12382014
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
W Wang, F Wei, L Dong, H Bao, N Yang, M Zhou
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
11792020
Language to Logical Form with Neural Attention
L Dong, M Lapata
The 54th Annual Meeting of the Association for Computational Linguistics …, 2016
9062016
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks
W Wang, H Bao, L Dong, J Bjorck, Z Peng, Q Liu, K Aggarwal, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
886*2023
Question Answering over Freebase with Multi-Column Convolutional Neural Networks
L Dong, F Wei, M Zhou, K Xu
The 53rd Annual Meeting of the Association for Computational Linguistics and …, 2015
5882015
Kosmos-2: Grounding Multimodal Large Language Models to the World
Z Peng, W Wang, L Dong, Y Hao, S Huang, S Ma, F Wei
International Conference on Learning Representations, 2024
5352024
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
H Bao, W Wang, L Dong, Q Liu, OK Mohammed, K Aggarwal, S Som, ...
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
5032022
Coarse-to-Fine Decoding for Neural Semantic Parsing
L Dong, M Lapata
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
4782018
Language Is Not All You Need: Aligning Perception with Language Models
S Huang, L Dong, W Wang, Y Hao, S Singhal, S Ma, T Lv, L Cui, ...
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
472*2023
Knowledge Neurons in Pretrained Transformers
D Dai, L Dong, Y Hao, Z Sui, F Wei
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
4702022
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
H Bao, L Dong, F Wei, W Wang, N Yang, X Liu, Y Wang, S Piao, J Gao, ...
Thirty-Seventh International Conference on Machine Learning, 7006--7016, 2020
4222020
Moodlens: an emoticon-based sentiment analysis system for chinese tweets
J Zhao, L Dong, J Wu, K Xu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
3782012
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
Z Chi, L Dong, F Wei, N Yang, S Singhal, W Wang, X Song, XL Mao, ...
North American Association for Computational Linguistics (NAACL), 2021
3452021
Data-to-Text Generation with Content Selection and Planning
R Puduppully, L Dong, M Lapata
Thirty-Third AAAI Conference on Artificial Intelligence, 2019
3402019
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
D Dai, Y Sun, L Dong, Y Hao, Z Sui, F Wei
Findings of the Association for Computational Linguistics: ACL 2023, 2023
3322023
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