A survey on in-context learning Q Dong, L Li, D Dai, C Zheng, Z Wu, B Chang, X Sun, J Xu, Z Sui arXiv preprint arXiv:2301.00234, 2022 | 637 | 2022 |
Understanding and improving layer normalization J Xu, X Sun, Z Zhang, G Zhao, J Lin Advances in neural information processing systems 32, 2019 | 294 | 2019 |
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation J Xu, X Ren, J Lin, X Sun Proc. of EMNLP 2018, 3940-3949, 2018 | 237* | 2018 |
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach J Xu, X Sun, Q Zeng, X Ren, X Zhang, H Wang, W Li Proc. of ACL 2018, 2018 | 224 | 2018 |
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering S Lv, D Guo, J Xu, D Tang, N Duan, M Gong, L Shou, D Jiang, G Cao, ... Prof. of AAAI 2020, 2019 | 198 | 2019 |
Modeling the stock relation with graph network for overnight stock movement prediction W Li, R Bao, K Harimoto, D Chen, J Xu, Q Su Proceedings of the twenty-ninth international conference on international …, 2021 | 151 | 2021 |
Reasoning over semantic-level graph for fact checking W Zhong, J Xu, D Tang, Z Xu, N Duan, M Zhou, J Wang, J Yin arXiv preprint arXiv:1909.03745, 2019 | 145 | 2019 |
Pkuseg: A toolkit for multi-domain chinese word segmentation R Luo, J Xu, Y Zhang, Z Zhang, X Ren, X Sun arXiv preprint arXiv:1906.11455, 2019 | 134 | 2019 |
A Skeleton-Based Model for Promoting Coherence among Sentences in Narrative Story Generation J Xu, X Ren, Y Zhang, Q Zeng, X Cai, X Sun Proc. of EMNLP 2018, 2018 | 110 | 2018 |
A survey on green deep learning J Xu, W Zhou, Z Fu, H Zhou, L Li arXiv preprint arXiv:2111.05193, 2021 | 81 | 2021 |
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization S Ma, X Sun, J Xu, H Wang, W Li, Q Su Proc. of ACL 2017, 2017 | 78 | 2017 |
Dependency-Based Gated Recursive Neural Network for Chinese Word Segmentation J Xu, X Sun Proc. of ACL 2016, 567-572, 2016 | 74 | 2016 |
Vocabulary learning via optimal transport for neural machine translation J Xu, H Zhou, C Gan, Z Zheng, L Li arXiv preprint arXiv:2012.15671, 2020 | 73 | 2020 |
Calibrating factual knowledge in pretrained language models Q Dong, D Dai, Y Song, J Xu, Z Sui, L Li arXiv preprint arXiv:2210.03329, 2022 | 67 | 2022 |
Learning Sentiment Memories for Sentiment Modification without Parallel Data Y Zhang, J Xu, P Yang, X Sun arXiv preprint arXiv:1808.07311, 2018 | 65 | 2018 |
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text J Xu, J Wen, X Sun, Q Su arXiv preprint arXiv:1711.07010, 2017 | 59 | 2017 |
KNAS: green neural architecture search J Xu, L Zhao, J Lin, R Gao, X Sun, H Yang International Conference on Machine Learning, 11613-11625, 2021 | 57 | 2021 |
Asking clarification questions in knowledge-based question answering J Xu, Y Wang, D Tang, N Duan, P Yang, Q Zeng, M Zhou, X Sun Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 52 | 2019 |
Muse: Parallel multi-scale attention for sequence to sequence learning G Zhao, X Sun, J Xu, Z Zhang, L Luo arXiv preprint arXiv:1911.09483, 2019 | 51 | 2019 |
Can We Edit Factual Knowledge by In-Context Learning? C Zheng, L Li, Q Dong, Y Fan, Z Wu, J Xu, B Chang arXiv preprint arXiv:2305.12740, 2023 | 49 | 2023 |