| Exploring the Feasibility of ChatGPT for Event Extraction J Gao, H Zhao, C Yu, R Xu arXiv preprint arXiv:2303.03836, 2023 | 106 | 2023 |
| Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations J Gao, Y Liu, H Deng, W Wang, Y Cao, J Du, R Xu EMNLP'2021 (Findings), 2021 | 91 | 2021 |
| Generating Multiple Diverse Responses for Short-text Conversation J Gao, W Bi, X Liu, J Li, S Shi AAAI'2019, 2019 | 62 | 2019 |
| A Discrete CVAE for Response Generation on Short-Text Conversation J Gao, W Bi, X Liu, J Li, G Zhou, S Shi EMNLP'2019, 2019 | 52 | 2019 |
| Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method Y Liu, W Bi, J Gao, X Liu, J Yao, S Shi EMNLP'2018, 2018 | 31 | 2018 |
| Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction J Gao, C Yu, W Wang, H Zhao, R Xu EMNLP'2022 (Findings), 2022 | 25 | 2022 |
| Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering J Gao, W Wang, C Yu, H Zhao, W Ng, R Xu ACL'2022, 2022 | 23 | 2022 |
| Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction C Lou, J Gao, C Yu, W Wang, H Zhao, W Tu, R Xu SIGIR'2022, 2022 | 16 | 2022 |
| Fine-Grained Sentence Functions for Short-Text Conversation W Bi, J Gao, X Liu, S Shi ACL'2019, 2019 | 15 | 2019 |
| Interpretable Proof Generation via Iterative Backward Reasoning H Qu, Y Cao, J Gao, L Ding, R Xu NAACL'2022, 2022 | 14 | 2022 |
| TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack Y Cao, D Li, M Fang, T Zhou, J Gao, Y Zhan, D Tao EMNLP'2022, 2022 | 13 | 2022 |
| Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset H Deng, Y Zhang, Y Zhang, W Ying, C Yu, J Gao, W Wang, X Bai, N Yang, ... EMNLP'2022, 2022 | 9* | 2022 |
| REAM♯: An enhancement approach to reference-based evaluation metrics for open-domain dialog generation J Gao, W Bi, R Xu, S Shi ACL'2021 (Findings), 2021 | 9 | 2021 |
| A Generative Approach for Script Event Prediction via Contrastive Fine-tuning F Zhu, J Gao, C Yu, W Wang, C Xu, X Mu, M Yang, R Xu AAAI'2023, 2023 | 8 | 2023 |
| Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction J Gao, H Zhao, Y Zhang, W Wang, C Yu, R Xu arXiv preprint arXiv:2310.05092, 2023 | 6 | 2023 |
| EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models J Gao, H Zhao, W Wang, C Yu, R Xu arXiv preprint arXiv:2402.11430, 2024 | 2 | 2024 |
| A Diffusion Model for Event Skeleton Generation F Zhu, L Zhang, J Gao, B Qin, R Xu, H Yang ACL'2023 (Findings), 2023 | 2 | 2023 |
| WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations H Deng, C Wang, X Li, D Yuan, J Zhan, T Zhou, J Ma, J Gao, R Xu ACL'2024, 2024 | | 2024 |
| Towards versatile graph learning approach: from the perspective of large language models L Wei, J Gao, H Zhao, Q Yao arXiv preprint arXiv:2402.11641, 2024 | | 2024 |
Ruifeng XuProfessor, Harbin Institute of Technology at Shenzhen在 hit.edu.cn 的电子邮件经过验证
