Tinybert: Distilling bert for natural language understanding X Jiao, Y Yin, L Shang, X Jiang, X Chen, L Li, F Wang, Q Liu
arXiv preprint arXiv:1909.10351, 2019
2046 2019 ERNIE: Enhanced Language Representation with Informative Entities Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu
arXiv preprint arXiv:1905.07129, 2019
1839 2019 FILIP: Fine-grained Interactive Language-Image Pre-Training L Yao, R Huang, L Hou, G Lu, M Niu, H Xu, X Liang, Z Li, X Jiang, C Xu
arXiv preprint arXiv:2111.07783, 2021
615 2021 Dynabert: Dynamic bert with adaptive width and depth L Hou, Z Huang, L Shang, X Jiang, X Chen, Q Liu
Advances in Neural Information Processing Systems 33, 2020
327 2020 Aligning Large Language Models with Human: A Survey Y Wang, W Zhong, L Li, F Mi, X Zeng, W Huang, L Shang, X Jiang, Q Liu
arXiv preprint arXiv:2307.12966, 2023
291 2023 Paraphrase generation with deep reinforcement learning Z Li, X Jiang, L Shang, H Li
arXiv preprint arXiv:1711.00279, 2017
272 2017 Neural generative question answering J Yin, X Jiang, Z Lu, L Shang, H Li, X Li
arXiv preprint arXiv:1512.01337, 2015
266 2015 PanGu- W Zeng, X Ren, T Su, H Wang, Y Liao, Z Wang, X Jiang, ZZ Yang, K Wang, ...
arXiv preprint arXiv:2104.12369, 2021
251 2021 BinaryBERT: Pushing the Limit of BERT Quantization H Bai, W Zhang, L Hou, L Shang, J Jin, X Jiang, Q Liu, M Lyu, I King
arXiv preprint arXiv:2012.15701, 2020
244 2020 TernaryBERT: Distillation-aware Ultra-low Bit BERT W Zhang, L Hou, Y Yin, L Shang, X Chen, X Jiang, Q Liu
arXiv preprint arXiv:2009.12812, 2020
217 2020 A ranking approach to keyphrase extraction X Jiang, Y Hu, H Li
Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009
213 2009 Affective neural response generation N Asghar, P Poupart, J Hoey, X Jiang, L Mou
European Conference on Information Retrieval, 154-166, 2018
198 2018 Integrating Graph Contextualized Knowledge into Pre-trained Language Models B He, D Zhou, J Xiao, Q Liu, NJ Yuan, T Xu
arXiv preprint arXiv:1912.00147, 2019
177 2019 On position embeddings in bert B Wang, L Shang, C Lioma, X Jiang, H Yang, Q Liu, JG Simonsen
International Conference on Learning Representations, 2020
154 2020 NEZHA: Neural Contextualized Representation for Chinese Language Understanding J Wei, X Ren, X Li, W Huang, Y Liao, Y Wang, J Lin, X Jiang, X Chen, ...
arXiv preprint arXiv:1909.00204, 2019
142 2019 SYNCOBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation X Wang, FM Yasheng Wang, P Zhou, Y Wan, X Liu, L Li, H Wu, J Liu, ...
126 2021 Generate & Rank: A Multi-task Framework for Math Word Problems J Shen, Y Yin, L Li, L Shang, X Jiang, M Zhang, Q Liu
arXiv preprint arXiv:2109.03034, 2021
125 2021 Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark J Gu, X Meng, G Lu, L Hou, N Minzhe, X Liang, L Yao, R Huang, W Zhang, ...
Advances in Neural Information Processing Systems 35, 26418-26431, 2022
124 2022 Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation W Dai, L Hou, L Shang, X Jiang, Q Liu, P Fung
arXiv preprint arXiv:2203.06386, 2022
104 2022 Decomposable Neural Paraphrase Generation Z Li, X Jiang, L Shang, Q Liu
arXiv preprint arXiv:1906.09741, 2019
103 2019 
Qun LiuNoah's Ark Lab, HuaweiEmail verificata su huawei.com