| Wizardlm: Empowering large language models to follow complex instructions C Xu, Q Sun, K Zheng, X Geng, P Zhao, J Feng, C Tao, D Jiang ICLR-2024, 2023 | 837* | 2023 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024 | 792 | 2024 |
| Wizardcoder: Empowering code large language models with evol-instruct Z Luo, C Xu, P Zhao, Q Sun, X Geng, W Hu, C Tao, J Ma, Q Lin, D Jiang ICLR-2024, 2023 | 559 | 2023 |
| Wizardmath: Empowering mathematical reasoning for large language models via reinforced evol-instruct H Luo, Q Sun, C Xu, P Zhao, J Lou, C Tao, X Geng, Q Lin, S Chen, ... arXiv preprint arXiv:2308.09583, 2023 | 338 | 2023 |
| Knowledge-grounded dialogue generation with pre-trained language models X Zhao, W Wu, C Xu, C Tao, D Zhao, R Yan EMNLP 2020, 2020 | 226 | 2020 |
| Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the twelfth ACM international conference on web search and …, 2019 | 156 | 2019 |
| One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the 57th annual meeting of the association for computational …, 2019 | 140 | 2019 |
| A survey on knowledge distillation of large language models X Xu, M Li, C Tao, T Shen, R Cheng, J Li, C Xu, D Tao, T Zhou arXiv preprint arXiv:2402.13116, 2024 | 120 | 2024 |
| Low-Resource Knowledge-Grounded Dialogue Generation X Zhao, W Wu, C Tao, C Xu, D Zhao, R Yan ICLR-2020, 2020 | 117 | 2020 |
| A sequential matching framework for multi-turn response selection in retrieval-based chatbots Y Wu, W Wu, C Xing, C Xu, Z Li, M Zhou Computational Linguistics 45 (1), 163-197, 2019 | 96 | 2019 |
| PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks Y Wang, C Xu, Q Sun, H Hu, C Tao, X Geng, D Jiang ACL 2022, 2022 | 89 | 2022 |
| Neural response generation with dynamic vocabularies Y Wu, W Wu, D Yang, C Xu, Z Li, M Zhou AAAI-2018, 2017 | 83 | 2017 |
| Zero-Resource Knowledge-Grounded Dialogue Generation L Li, C Xu, W Wu, Y Zhao, X Zhao, C Tao NeurIPS 2020, 2020 | 80 | 2020 |
| ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation W Qi, Y Gong, Y Yan, C Xu, B Yao, B Zhou, B Cheng, D Jiang, J Chen, ... Demo of ACL 2021, 2021 | 62 | 2021 |
| MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding JC Gu, C Tao, ZH Ling, C Xu, X Geng, D Jiang ACL 2021, 2021 | 54 | 2021 |
| Multimodal Dialogue Response Generation Q Sun, Y Wang, C Xu, K Zheng, Y Yang, H Hu, F Xu, J Zhang, X Geng, ... ACL 2022, 2021 | 53 | 2021 |
| Towards robust ranker for text retrieval Y Zhou, T Shen, X Geng, C Tao, C Xu, G Long, B Jiao, D Jiang arXiv preprint arXiv:2206.08063, 2022 | 50 | 2022 |
| Learning Neural Templates for Recommender Dialogue System Z Liang, H Hu, C Xu, J Miao, Y He, Y Chen, X Geng, F Liang, D Jiang EMNLP 2021, 2021 | 48 | 2021 |
| Mmdialog: A large-scale multi-turn dialogue dataset towards multi-modal open-domain conversation J Feng, Q Sun, C Xu, P Zhao, Y Yang, C Tao, D Zhao, Q Lin ACL-2023, 2022 | 46 | 2022 |
| A document-grounded matching network for response selection in retrieval-based chatbots X Zhao, C Tao, W Wu, C Xu, D Zhao, R Yan IJCAI-2019, 2019 | 46 | 2019 |
Chongyang TaoAssociate Professor of Computer Science, Beihang Universitybuaa.edu.cn의 이메일 확인됨