| Attention guided graph convolutional networks for relation extraction Z Guo, Y Zhang, W Lu ACL, 2019 | 537 | 2019 |
| An Unsupervised Sentence Embedding Method by Mutual Information Maximization Y Zhang, R He, Z Liu, KH Lim, L Bing EMNLP, 2020 | 183 | 2020 |
| Densely connected graph convolutional networks for graph-to-sequence learning Z Guo, Y Zhang, Z Teng, W Lu Transactions of the Association for Computational Linguistics 7, 297-312, 2019 | 141 | 2019 |
| DynaEval: Unifying Turn and Dialogue Level Evaluation C Zhang, Y Chen, LF D'Haro, Y Zhang, T Friedrichs, G Lee, H Li ACL, 2021 | 67 | 2021 |
| Revisiting Self-Training for Few-Shot Learning of Language Model Y Chen, Y Zhang, C Zhang, G Lee, R Cheng, H Li EMNLP, 2021 | 36 | 2021 |
| Bootstrapped Unsupervised Sentence Representation Learning Y Zhang, R He, Z Liu, L Bing, H Li ACL, 2021 | 36 | 2021 |
| Entdesc: Entity description generation by exploringknowledge graph L Cheng, D Wu, L Bing, Y Zhang, Z Jie, W Lu, L Si EMNLP, 2020 | 23 | 2020 |
| Empirical Study of Zero-Shot NER with ChatGPT T Xie, Q Li, J Zhang, Y Zhang, Z Liu, H Wang EMNLP, 2023 | 22 | 2023 |
| A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis J Liu, T Hu, Y Zhang, X Gai, Y Feng, Z Liu ICML-Workshop on Interpretable ML in Healthcare, 2023 | 21 | 2023 |
| Iam: A comprehensive and large-scale dataset for integrated argument mining tasks L Cheng, L Bing, R He, Q Yu, Y Zhang, L Si ACL, 2022 | 19 | 2022 |
| Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation Y Zhang, Z Guo, Z Teng, W Lu, SB Cohen, Z Liu, L Bing EMNLP, 2020 | 18 | 2020 |
| Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework Y Chen, Y Zhang, B Wang, Z Liu, H Li EMNLP, 2022 | 17 | 2022 |
| Hierarchical self-supervised learning for 3D tooth segmentation in intra-oral mesh scans Z Liu, X He, H Wang, H Xiong, Y Zhang, G Wang, J Hao, Y Feng, F Zhu, ... IEEE Transactions on Medical Imaging 42 (2), 467-480, 2022 | 16 | 2022 |
| Analyzing and Evaluating Faithfulness in Dialogue Summarization B Wang, C Zhang, Y Zhang, Y Chen, H Li EMNLP, 2022 | 16 | 2022 |
| Improving llm-based machine translation with systematic self-correction Z Feng, Y Zhang, H Li, B Wu, J Liao, W Liu, J Lang, Y Feng, J Wu, Z Liu Preprint, 2024 | 9* | 2024 |
| Self-improving for zero-shot named entity recognition with large language models T Xie, Q Li, Y Zhang, Z Liu, H Wang NAACL, 2024 | 8 | 2024 |
| Parameter-efficient transfer learning for medical visual question answering J Liu, T Hu, Y Zhang, Y Feng, J Hao, J Lv, Z Liu IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 8 | 2023 |
| Mixlora: Enhancing large language models fine-tuning with lora based mixture of experts D Li, Y Ma, N Wang, Z Cheng, L Duan, J Zuo, C Yang, M Tang arXiv preprint arXiv:2404.15159, 2024 | 4 | 2024 |
| A conversation is worth a thousand recommendations: A survey of holistic conversational recommender systems C Li, H Hu, Y Zhang, MY Kan, H Li arXiv preprint arXiv:2309.07682, 2023 | 4 | 2023 |
| Speech-aware multi-domain dialogue state generation with ASR error correction modules R Jiang, W Shi, B Wang, C Zhang, Y Zhang, C Pan, JJ Kim, H Li Proceedings of The Eleventh Dialog System Technology Challenge, 105-112, 2023 | 2 | 2023 |
Zuozhu LiuAssistant Professor, Zhejiang University/University of Illinois Urbana-Champaign在 intl.zju.edu.cn 的电子邮件经过验证
