Follow
Xingxing Zhang
Xingxing Zhang
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Sentence Simplification with Deep Reinforcement Learning
X Zhang, M Lapata
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
4962017
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
X Zhang, F Wei, M Zhou
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
4942019
Chinese poetry generation with recurrent neural networks
X Zhang, M Lapata
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
4232014
Neural Latent Extractive Document Summarization
X Zhang, M Lapata, F Wei, M Zhou
arXiv preprint arXiv:1808.07187, 2018
2122018
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition
L Lu, X Zhang, S Renais
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
1612016
Top-down tree long short-term memory networks
X Zhang, L Lu, M Lapata
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
132*2016
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition
L Lu, X Zhang, K Cho, S Renals
Sixteenth Annual Conference of the International Speech Communication …, 2015
1292015
Longnet: Scaling transformers to 1,000,000,000 tokens
J Ding, S Ma, L Dong, X Zhang, S Huang, W Wang, F Wei
arXiv preprint arXiv:2307.02486, 2023
1262023
Dependency Parsing as Head Selection
X Zhang, J Cheng, M Lapata
Proceedings of the 15th Conference of the European Chapter of the …, 2017
1182017
Sequence Level Contrastive Learning for Text Summarization
S Xu, X Zhang, Y Wu, F Wei
arXiv preprint arXiv:2109.03481, 2021
1022021
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue.
X Jiang, J Yu, Z Qin, Y Zhuang, X Zhang, Y Hu, Q Wu
AAAI 1 (3), 5, 2020
702020
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
S Xu, X Zhang, Y Wu, F Wei, M Zhou
arXiv preprint arXiv:2010.08242, 2020
612020
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
M Chen, T Ge, X Zhang, F Wei, M Zhou
arXiv preprint arXiv:2010.03260, 2020
512020
Pre-training for Abstractive Document Summarization by Reinstating Source Text
Y Zou, X Zhang, W Lu, F Wei, M Zhou
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
502020
Towards accurate distant supervision for relational facts extraction
X Zhang, J Zhang, J Zeng, J Yan, Z Chen, Z Sui
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
322013
Momentum Calibration for Text Generation
X Zhang, Y Liu, X Wang, P He, Y Yu, SQ Chen, W Xiong, F Wei
arXiv preprint arXiv:2212.04257, 2022
252022
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Z Tang, X Zhang, B Wan, F Wei
arXiv preprint arXiv:2403.02884, 2024
222024
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
H Li, Q Dong, Z Tang, C Wang, X Zhang, H Huang, S Huang, X Huang, ...
arXiv preprint arXiv:2402.13064, 2024
212024
Attention Temperature Matters in Abstractive Summarization Distillation
S Zhang, X Zhang, H Bao, F Wei
arXiv preprint arXiv:2106.03441, 2021
192021
Automatic grammatical error correction for sequence-to-sequence text generation: An empirical study
T Ge, X Zhang, F Wei, M Zhou
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
192019
The system can't perform the operation now. Try again later.
Articles 1–20