| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 1901 | 2023 |
| Curriculum learning for natural language understanding B Xu, L Zhang, Z Mao, Q Wang, H Xie, Y Zhang ACL 2020, 2020 | 208 | 2020 |
| Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction B Xu, Q Wang, Y Lyu, Y Zhu, Z Mao AAAI 2021, 2021 | 192 | 2021 |
| Expertprompting: Instructing large language models to be distinguished experts B Xu, A Yang, J Lin, Q Wang, C Zhou, Y Zhang, Z Mao arXiv preprint arXiv:2305.14688, 2023 | 111 | 2023 |
| UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction W Tang, B Xu, Y Zhao, Z Mao, Y Liu, Y Liao, H Xie EMNLP 2022, 2022 | 54 | 2022 |
| NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference B Xu, Q Wang, Z Mao, Y Lyu, Q She, Y Zhang ICLR 2023, 2023 | 44 | 2023 |
| EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction B Xu, Q Wang, Y Lyu, Y Shi, Y Zhu, J Gao, Z Mao NAACL 2022, 2022 | 39 | 2022 |
| S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction B Xu, Q Wang, Y Lyu, D Dai, Y Zhang, Z Mao ACL 2023, 2023 | 29 | 2023 |
| Self-evolved diverse data sampling for efficient instruction tuning S Wu, K Lu, B Xu, J Lin, Q Su, C Zhou arXiv preprint arXiv:2311.08182, 2023 | 23 | 2023 |
| Benchmarking large language models on controllable generation under diversified instructions Y Chen, B Xu, Q Wang, Y Liu, Z Mao Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17808 …, 2024 | 21 | 2024 |
| On the Calibration of Large Language Models and Alignment C Zhu, B Xu, Q Wang, Y Zhang, Z Mao Findings of EMNLP 2023, 2023 | 21 | 2023 |
| Building Chinese Biomedical Language Models via Multi-Level Text Discrimination Q Wang*, S Dai*, B Xu*, Y Lyu, Y Zhu, H Wu, H Wang arXiv preprint arXiv:2110.07244, 2021 | 20 | 2021 |
| Review and arrange: Curriculum learning for natural language understanding L Zhang, Z Mao, B Xu, Q Wang, Y Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3307-3320, 2021 | 12 | 2021 |
| Retrieval-augmented domain adaptation of language models B Xu, C Zhao, W Jiang, P Zhu, S Dai, C Pang, Z Sun, S Wang, Y Sun Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP …, 2023 | 11 | 2023 |
| Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition X Zeng, Y Chen, B Xu, T Zhang ICASSP 2023, 2023 | 2 | 2023 |
| EHealth: A Chinese Biomedical Language Model Built via Multi-Level Text Discrimination Q Wang, S Dai, B Xu, Y Lyu, H Wu, H Wang IEEE Transactions on Audio, Speech and Language Processing, 2025 | | 2025 |
| KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction J Kou, B Xu, C Zhu, Z Mao Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| Disentangled Learning with Synthetic Parallel Data for Text Style Transfer J Han, Q Wang, Z Guo, B Xu, L Zhang, Z Mao Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | | 2024 |
| Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension L Zhang, Q Wang, B Xu, Y Liu, Z Mao IEEE Signal Processing Letters, 2024 | | 2024 |
Zhendong MaoUniversity of Science and Technology of ChinaVerifierad e-postadress på ustc.edu.cn