| Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3438-3445, 2020 | 1286 | 2020 |
| Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015 | 674* | 2015 |
| DocRED: A Large-Scale Document-Level Relation Extraction Dataset Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 637* | 2019 |
| Toolllm: Facilitating large language models to master 16000+ real-world apis Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ... arXiv preprint arXiv:2307.16789, 2023 | 530 | 2023 |
| End-to-end learning of semantic role labeling using recurrent neural networks Jie Zhou, Wei Xu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 493* | 2015 |
| Is chatgpt a good nlg evaluator? a preliminary study J Wang, Y Liang, F Meng, Z Sun, H Shi, Z Li, J Xu, J Qu, J Zhou arXiv preprint arXiv:2303.04048, 2023 | 354 | 2023 |
| FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 297* | 2019 |
| Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu Transactions of the Association for Computational Linguistics 4, 371--383, 2016 | 270 | 2016 |
| Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents W Chen, Y Su, J Zuo, C Yang, C Yuan, C Qian, CM Chan, Y Qin, Y Lu, ... arXiv preprint arXiv:2308.10848 2 (4), 6, 2023 | 262 | 2023 |
| An empirical study of catastrophic forgetting in large language models during continual fine-tuning Y Luo, Z Yang, F Meng, Y Li, J Zhou, Y Zhang arXiv preprint arXiv:2308.08747, 2023 | 232 | 2023 |
| Learning from context or names? an empirical study on neural relation extraction Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 218* | 2020 |
| MAVEN: A Massive General Domain Event Detection Dataset Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 205* | 2020 |
| A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 192* | 2019 |
| More data, more relations, more context and more openness: A review and outlook for relation extraction Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao ... Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 182* | 2020 |
| Deeptransport: Learning spatial-temporal dependency for traffic condition forecasting X Cheng, R Zhang, J Zhou, W Xu 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 171 | 2018 |
| Large language models are not robust multiple choice selectors C Zheng, H Zhou, F Meng, J Zhou, M Huang arXiv preprint arXiv:2309.03882, 2023 | 168 | 2023 |
| A novel graph-based multi-modal fusion encoder for neural machine translation Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 167* | 2020 |
| Turbotransformers: an efficient gpu serving system for transformer models J Fang, Y Yu, C Zhao, J Zhou Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021 | 156 | 2021 |
| On transferability of prompt tuning for natural language processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 150 | 2022 |
| Transformer-patcher: One mistake worth one neuron Z Huang, Y Shen, X Zhang, J Zhou, W Rong, Z Xiong arXiv preprint arXiv:2301.09785, 2023 | 147 | 2023 |
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