| 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 | 597 | 2023 |
| CNN-Based Chinese NER with Lexicon Rethinking. T Gui, R Ma, Q Zhang, L Zhao, YG Jiang, X Huang ijcai 2019, 2019 | 297 | 2019 |
| A unified generative framework for various NER subtasks H Yan, T Gui, J Dai, Q Guo, Z Zhang, X Qiu arXiv preprint arXiv:2106.01223, 2021 | 291 | 2021 |
| A lexicon-based graph neural network for Chinese NER T Gui, Y Zou, Q Zhang, M Peng, J Fu, Z Wei, XJ Huang Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 274 | 2019 |
| A comprehensive capability analysis of gpt-3 and gpt-3.5 series models J Ye, X Chen, N Xu, C Zu, Z Shao, S Liu, Y Cui, Z Zhou, C Gong, Y Shen, ... arXiv preprint arXiv:2303.10420, 2023 | 186 | 2023 |
| Template-free prompt tuning for few-shot NER R Ma, X Zhou, T Gui, Y Tan, L Li, Q Zhang, X Huang arXiv preprint arXiv:2109.13532, 2021 | 182 | 2021 |
| Internlm2 technical report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 155 | 2024 |
| Cooperative multimodal approach to depression detection in twitter T Gui, L Zhu, Q Zhang, M Peng, X Zhou, K Ding, Z Chen Proceedings of the AAAI conference on artificial intelligence 33 (01), 110-117, 2019 | 135 | 2019 |
| Trainable undersampling for class-imbalance learning M Peng, Q Zhang, X Xing, T Gui, X Huang, YG Jiang, K Ding, Z Chen Proceedings of the AAAI conference on artificial intelligence 33 (01), 4707-4714, 2019 | 120 | 2019 |
| Part-of-speech tagging for twitter with adversarial neural networks T Gui, Q Zhang, H Huang, M Peng, XJ Huang Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 108 | 2017 |
| One2Set: Generating diverse keyphrases as a set J Ye, T Gui, Y Luo, Y Xu, Q Zhang arXiv preprint arXiv:2105.11134, 2021 | 99 | 2021 |
| 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 | 91 | 2023 |
| Textflint: Unified multilingual robustness evaluation toolkit for natural language processing X Wang, Q Liu, T Gui, Q Zhang, Y Zou, X Zhou, J Ye, Y Zhang, R Zheng, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 90 | 2021 |
| Orthogonal subspace learning for language model continual learning X Wang, T Chen, Q Ge, H Xia, R Bao, R Zheng, Q Zhang, T Gui, X Huang arXiv preprint arXiv:2310.14152, 2023 | 59 | 2023 |
| A lexicon-based supervised attention model for neural sentiment analysis Y Zou, T Gui, Q Zhang, XJ Huang Proceedings of the 27th international conference on computational …, 2018 | 54 | 2018 |
| Secrets of rlhf in large language models part ii: Reward modeling B Wang, R Zheng, L Chen, Y Liu, S Dou, C Huang, W Shen, S Jin, E Zhou, ... arXiv preprint arXiv:2401.06080, 2024 | 52 | 2024 |
| Llama beyond english: An empirical study on language capability transfer J Zhao, Z Zhang, L Gao, Q Zhang, T Gui, X Huang arXiv preprint arXiv:2401.01055, 2024 | 43 | 2024 |
| Instructuie: Multi-task instruction tuning for unified information extraction X Wang, W Zhou, C Zu, H Xia, T Chen, Y Zhang, R Zheng, J Ye, Q Zhang, ... arXiv preprint arXiv:2304.08085, 2023 | 41 | 2023 |
| How robust is gpt-3.5 to predecessors? a comprehensive study on language understanding tasks X Chen, J Ye, C Zu, N Xu, R Zheng, M Peng, J Zhou, T Gui, Q Zhang, ... arXiv preprint arXiv:2303.00293, 2023 | 40 | 2023 |
| Sentiment-aware multimodal pre-training for multimodal sentiment analysis J Ye, J Zhou, J Tian, R Wang, J Zhou, T Gui, Q Zhang, X Huang Knowledge-Based Systems 258, 110021, 2022 | 40 | 2022 |
Qi Zhang (张奇)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
