| The rise and potential of large language model based agents: A survey Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ... arXiv preprint arXiv:2309.07864, 2023 | 415 | 2023 |
| Acquiring Knowledge from Pre-trained Model to Neural Machine Translation R Weng, H Yu, S Huang, S Cheng, W Luo AAAI 2020, 2020 | 80 | 2020 |
| On learning universal representations across languages X Wei, R Weng, Y Hu, L Xing, H Yu, W Luo ICLR 2021, 2020 | 76 | 2020 |
| Secrets of rlhf in large language models part i: Ppo R Zheng, S Dou, S Gao, Y Hua, W Shen, B Wang, Y Liu, S Jin, Q Liu, ... arXiv preprint arXiv:2307.04964, 2023 | 56 | 2023 |
| Neural machine translation with word predictions R Weng, S Huang, Z Zheng, X Dai, J Chen EMNLP 2017, 2017 | 44 | 2017 |
| Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering P Wu, S Huang, R Weng, Z Zheng, J Zhang, X Yan, J Chen ACL 2019, 2019 | 34 | 2019 |
| Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation X Wei, H Yu, Y Hu, R Weng, W Luo, J Xie, R Jin ACL 2022, 2022 | 30 | 2022 |
| Multiscale Collaborative Deep Models for Neural Machine Translation X Wei, H Yu, Y Hu, Y Zhang, R Weng, W Luo ACL 2020, 2020 | 30 | 2020 |
| Towards Enhancing Faithfulness for Neural Machine Translation R Weng, H Yu, X Wei, W Luo EMNLP 2020, 2020 | 22 | 2020 |
| Uncertainty-Aware Semantic Augmentation for Neural Machine Translation X Wei, H Yu, Y Hu, R Weng, L Xing, W Luo EMNLP 2020, 2020 | 22 | 2020 |
| Correct-and-memorize: Learning to Translate from Interactive Revisions R Weng, H Zhou, S Huang, L Li, Y Xia, J Chen IJCAI 2019, 2019 | 16 | 2019 |
| Improving self-attention networks with sequential relations Z Zheng, S Huang, R Weng, XY Dai, J Chen IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1707-1716, 2020 | 13 | 2020 |
| GRET: Global Representation Enhanced Transformer R Weng, H Wei, S Huang, H Yu, L Bing, W Luo, J Chen AAAI 2020, 2020 | 11 | 2020 |
| The Rise and Potential of Large Language Model Based Agents: A Survey (2023) Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ... URL https://arxiv. org/abs/2309.07864, 0 | 10 | |
| Improving neural machine translation with pre-trained representation R Weng, H Yu, S Huang, W Luo, J Chen arXiv preprint arXiv:1908.07688, 2019 | 7 | 2019 |
| Learning to discriminate noises for incorporating external information in neural machine translation Z Zheng, S Huang, Z Sun, R Weng, XY Dai, J Chen arXiv preprint arXiv:1810.10317, 2018 | 6 | 2018 |
| Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation Q Wang, R Weng, M Chen COLING 2022, 2022 | 5 | 2022 |
| Ar: Auto-repair the synthetic data for neural machine translation S Cheng, S Kuang, R Weng, H Yu, C Zhu, W Luo arXiv preprint arXiv:2004.02196, 2020 | 5 | 2020 |
| Deep Fusing Pre-trained Models into Neural Machine Translation R Weng, H Yu, W Luo, M Zhang AAAI 2022, 2022 | 4 | 2022 |
| G-tuning: Improving generalization of pre-trained language models with generative adversarial network R Weng, WS Cheng, M Zhang Findings of the Association for Computational Linguistics: ACL 2023, 4747-4755, 2023 | 1 | 2023 |
Heng YuBeijing Normal University; School of Artificial Intelligence在 bnu.edu.cn 的电子邮件经过验证
