Sentence Simplification with Deep Reinforcement Learning X Zhang, M Lapata Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 496 | 2017 |
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 | 494 | 2019 |
Chinese poetry generation with recurrent neural networks X Zhang, M Lapata Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 423 | 2014 |
Neural Latent Extractive Document Summarization X Zhang, M Lapata, F Wei, M Zhou arXiv preprint arXiv:1808.07187, 2018 | 212 | 2018 |
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 | 161 | 2016 |
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 | 129 | 2015 |
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 | 126 | 2023 |
Dependency Parsing as Head Selection X Zhang, J Cheng, M Lapata Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 118 | 2017 |
Sequence Level Contrastive Learning for Text Summarization S Xu, X Zhang, Y Wu, F Wei arXiv preprint arXiv:2109.03481, 2021 | 102 | 2021 |
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 | 70 | 2020 |
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers S Xu, X Zhang, Y Wu, F Wei, M Zhou arXiv preprint arXiv:2010.08242, 2020 | 61 | 2020 |
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 | 51 | 2020 |
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 | 50 | 2020 |
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 | 32 | 2013 |
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 | 25 | 2022 |
MathScale: Scaling Instruction Tuning for Mathematical Reasoning Z Tang, X Zhang, B Wan, F Wei arXiv preprint arXiv:2403.02884, 2024 | 22 | 2024 |
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 | 21 | 2024 |
Attention Temperature Matters in Abstractive Summarization Distillation S Zhang, X Zhang, H Bao, F Wei arXiv preprint arXiv:2106.03441, 2021 | 19 | 2021 |
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 | 19 | 2019 |