| Zero-Shot Information Extraction via Chatting with ChatGPT X Wei, X Cui, N Cheng, X Wang, X Zhang, S Huang, P Xie, J Xu, Y Chen, ... https://arxiv.org/pdf/2302.10205.pdf, 2023 | 214 | 2023 |
| Towards holistic and automatic evaluation of open-domain dialogue generation B Pang, E Nijkamp, W Han, L Zhou, Y Liu, K Tu Association for Computational Linguistics (ACL), 2020 | 79 | 2020 |
| Unsupervised Neural Dependency Parsing Y Jiang, W Han, K Tu Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 63 | 2016 |
| Robust transfer learning with pretrained language models through adapters W Han, B Pang, Y Wu arXiv preprint arXiv:2108.02340, 2021 | 56 | 2021 |
| Evaluating and inducing personality in pre-trained language models G Jiang, M Xu, SC Zhu, W Han, C Zhang, Y Zhu Advances in Neural Information Processing Systems 36, 2024 | 36 | 2024 |
| Adversarial Attack and Defense of Structured Prediction Models W Han, L Zhang, Y Jiang, K Tu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 36 | 2020 |
| Mpi: Evaluating and inducing personality in pre-trained language models G Jiang, M Xu, SC Zhu, W Han, C Zhang, Y Zhu arXiv preprint arXiv:2206.07550, 2022 | 29 | 2022 |
| Dependency Grammar Induction with Neural Lexicalization and Big Training Data W Han, J Yong, T Kewei Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 22 | 2017 |
| ToHRE: A top-down classification strategy with hierarchical bag representation for distantly supervised relation extraction E Yu, W Han, Y Tian, Y Chang Proceedings of the 28th international conference on computational …, 2020 | 20 | 2020 |
| Unsupervised vision-language grammar induction with shared structure modeling B Wan, W Han, Z Zheng, T Tuytelaars Proceedings ICLR 2022, 2022 | 19 | 2022 |
| Second-order unsupervised neural dependency parsing S Yang, Y Jiang, W Han, K Tu Proceedings of the 28th International Conference on Computational …, 2020 | 19 | 2020 |
| Enhancing Unsupervised Generative Dependency Parser with Contextual Information W Han, Y Jiang, K Tu ACL, 2019 | 19 | 2019 |
| Mmicl: Empowering vision-language model with multi-modal in-context learning H Zhao, Z Cai, S Si, X Ma, K An, L Chen, Z Liu, S Wang, W Han, B Chang arXiv preprint arXiv:2309.07915, 2023 | 16 | 2023 |
| Intentqa: Context-aware video intent reasoning J Li, P Wei, W Han, L Fan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Constrained Text Generation with Global Guidance--Case Study on CommonGen Y Liu, L Zhang, W Han, Y Zhang, K Tu arXiv preprint arXiv:2103.07170, 2021 | 12 | 2021 |
| On the complexity of bayesian generalization YZ Shi, M Xu, JE Hopcroft, K He, JB Tenenbaum, SC Zhu, YN Wu, W Han, ... Proceedings of the 40th International Conference on Machine Learning 202, 31389, 2023 | 11* | 2023 |
| A Survey of Unsupervised Dependency Parsing W Han, Y Jiang, HT Ng, K Tu Proceedings of the 28th International Conference on Computational …, 2020 | 11 | 2020 |
| Human-in-the-loop through chain-of-thought Z Cai, B Chang, W Han arXiv preprint arXiv:2306.07932, 2023 | 10 | 2023 |
| Unsupervised vision-language parsing: Seamlessly bridging visual scene graphs with language structures via dependency relationships C Lou, W Han, Y Lin, Z Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition J Yong, H Wenjuan, T Kewei EMNLP, 2017 | 9 | 2017 |
Kewei TuSchool of Information Science and Technology, ShanghaiTech University, ChinaVerified email at shanghaitech.edu.cn
