| Textflint: Unified multilingual robustness evaluation toolkit for natural language processing T Gui, X Wang, Q Zhang, Q Liu, Y Zou, X Zhou, R Zheng, C Zhang, Q Wu, ... arXiv preprint arXiv:2103.11441, 2021 | 61* | 2021 |
| One2Set: Generating diverse keyphrases as a set J Ye, T Gui, Y Luo, Y Xu, Q Zhang arXiv preprint arXiv:2105.11134, 2021 | 39 | 2021 |
| ZeroGen: Efficient zero-shot learning via dataset generation J Ye, J Gao, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong arXiv preprint arXiv:2202.07922, 2022 | 24 | 2022 |
| Leveraging document-level label consistency for named entity recognition T Gui, J Ye, Q Zhang, Y Zhou, Y Gong, X Huang Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 21 | 2021 |
| Uncertainty-aware label refinement for sequence labeling T Gui, J Ye, Q Zhang, Z Li, Z Fei, Y Gong, X Huang arXiv preprint arXiv:2012.10608, 2020 | 15 | 2020 |
| Heterogeneous graph neural networks for keyphrase generation J Ye, R Cai, T Gui, Q Zhang arXiv preprint arXiv:2109.04703, 2021 | 11 | 2021 |
| Self-adaptive In-context Learning Z Wu, Y Wang, J Ye, L Kong arXiv preprint arXiv:2212.10375, 2022 | 8 | 2022 |
| ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback J Ye, J Gao, J Feng, Z Wu, T Yu, L Kong arXiv preprint arXiv:2210.12329, 2022 | 8 | 2022 |
| Keyphrase generation with fine-grained evaluation-guided reinforcement learning Y Luo, Y Xu, J Ye, X Qiu, Q Zhang arXiv preprint arXiv:2104.08799, 2021 | 8 | 2021 |
| Compositional exemplars for in-context learning J Ye, Z Wu, J Feng, T Yu, L Kong arXiv preprint arXiv:2302.05698, 2023 | 5 | 2023 |
| Openicl: An open-source framework for in-context learning Z Wu, YX Wang, J Ye, J Feng, J Xu, Y Qiao, Z Wu arXiv preprint arXiv:2303.02913, 2023 | 4 | 2023 |
| Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning J Gao, R Pi, LIN Yong, H Xu, J Ye, Z Wu, W ZHANG, X Liang, Z Li, L Kong The Eleventh International Conference on Learning Representations, 2023 | 4* | 2023 |
| Constructing multiple tasks for augmentation: Improving neural image classification with k-means features T Gui, L Qing, Q Zhang, J Ye, H Yan, Z Fei, X Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10877 …, 2020 | 3 | 2020 |
| Generating Data for Symbolic Language with Large Language Models J Ye, C Li, L Kong, T Yu arXiv preprint arXiv:2305.13917, 2023 | | 2023 |
| Uncertainty-Aware Sequence Labeling J Ye, X Zhou, X Zheng, T Gui, Q Zhang IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 14 (8), 1, 2021 | | 2021 |
Qi Zhang (张奇)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
