| 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 | 118 | 2022 |
| 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 | 116* | 2021 |
| One2Set: Generating diverse keyphrases as a set J Ye, T Gui, Y Luo, Y Xu, Q Zhang arXiv preprint arXiv:2105.11134, 2021 | 88 | 2021 |
| Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering Z Wu, Y Wang, J Ye, L Kong | 69 | 2023 |
| Compositional exemplars for in-context learning J Ye, Z Wu, J Feng, T Yu, L Kong International Conference on Machine Learning, 39818-39833, 2023 | 57 | 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 | 47* | 2023 |
| 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 | 38 | 2022 |
| 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 | 28 | 2020 |
| 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 | 27 | 2021 |
| 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 | 24 | 2023 |
| Heterogeneous graph neural networks for keyphrase generation J Ye, R Cai, T Gui, Q Zhang arXiv preprint arXiv:2109.04703, 2021 | 22 | 2021 |
| 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 | 17 | 2021 |
| G-llava: Solving geometric problem with multi-modal large language model J Gao, R Pi, J Zhang, J Ye, W Zhong, Y Wang, L Hong, J Han, H Xu, Z Li, ... arXiv preprint arXiv:2312.11370, 2023 | 16* | 2023 |
| Generating Data for Symbolic Language with Large Language Models J Ye, C Li, L Kong, T Yu arXiv preprint arXiv:2305.13917, 2023 | 10 | 2023 |
| Language versatilists vs. specialists: An empirical revisiting on multilingual transfer ability J Ye, X Tao, L Kong arXiv preprint arXiv:2306.06688, 2023 | 7 | 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 |
| PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA S Wang, B Xue, J Ye, J Jiang, L Chen, L Kong, C Wu arXiv preprint arXiv:2402.16902, 2024 | 1 | 2024 |
| 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 | 1 | 2021 |
| Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models J Ye, S Gong, L Chen, L Zheng, J Gao, H Shi, C Wu, Z Li, W Bi, L Kong arXiv preprint arXiv:2402.07754, 2024 | | 2024 |
Lingpeng KongGoogle DeepMind, The University of Hong Kong在 cs.hku.hk 的电子邮件经过验证
