متابعة
Wenhui Wang
Wenhui Wang
Microsoft Research
بريد إلكتروني تم التحقق منه على microsoft.com
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
Advances in neural information processing systems 32, 2019‏
18892019
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
Advances in Neural Information Processing Systems 33, 5776-5788, 2020‏
12662020
Gated self-matching networks for reading comprehension and question answering‏
W Wang, N Yang, F Wei, B Chang, M Zhou‏
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017‏
8672017
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
783*2023
Kosmos-2: Grounding multimodal large language models to the world‏
Z Peng, W Wang, L Dong, Y Hao, S Huang, S Ma, F Wei‏
arXiv preprint arXiv:2306.14824, 2023‏
6072023
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, ...‏
Advances in Neural Information Processing Systems 36, 72096-72109, 2023‏
4802023
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, J Gao, S Piao, ...‏
International conference on machine learning, 642-652, 2020‏
4442020
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, ...‏
arXiv preprint arXiv:2007.07834, 2020‏
3592020
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, ...‏
Advances in Neural Information Processing Systems 35, 32897-32912, 2022‏
3482022
Minilmv2: Multi-head self-attention relation distillation for compressing pretrained transformers‏
W Wang, H Bao, S Huang, L Dong, F Wei‏
arXiv preprint arXiv:2012.15828, 2020‏
2302020
Graph-based dependency parsing with bidirectional LSTM‏
W Wang, B Chang‏
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016‏
1852016
The era of 1-bit llms: All large language models are in 1.58 bits‏
S Ma, H Wang, L Ma, L Wang, W Wang, S Huang, L Dong, R Wang, J Xue, ...‏
arXiv preprint arXiv:2402.17764, 2024‏
1672024
Multiway attention networks for modeling sentence pairs.‏
C Tan, F Wei, W Wang, W Lv, M Zhou‏
IJCAI, 4411-4417, 2018‏
1542018
Longnet: Scaling transformers to 1,000,000,000 tokens‏
J Ding, S Ma, L Dong, X Zhang, S Huang, W Wang, N Zheng, F Wei‏
arXiv preprint arXiv:2307.02486, 2023‏
1522023
Cross-lingual natural language generation via pre-training‏
Z Chi, L Dong, F Wei, W Wang, XL Mao, H Huang‏
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7570-7577, 2020‏
1492020
Language models are general-purpose interfaces‏
Y Hao, H Song, L Dong, S Huang, Z Chi, W Wang, S Ma, F Wei‏
arXiv preprint arXiv:2206.06336, 2022‏
1082022
Learning to ask unanswerable questions for machine reading comprehension‏
H Zhu, L Dong, F Wei, W Wang, B Qin, T Liu‏
arXiv preprint arXiv:1906.06045, 2019‏
552019
Harvesting and refining question-answer pairs for unsupervised QA‏
Z Li, W Wang, L Dong, F Wei, K Xu‏
arXiv preprint arXiv:2005.02925, 2020‏
522020
Vl-beit: Generative vision-language pretraining‏
H Bao, W Wang, L Dong, F Wei‏
arXiv preprint arXiv:2206.01127, 2022‏
512022
Grounding multimodal large language models to the world‏
Z Peng, W Wang, L Dong, Y Hao, S Huang, S Ma, Q Ye, F Wei‏
The Twelfth International Conference on Learning Representations, 2024‏
502024
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مقالات 1–20