Követés
Can Xu
Can Xu
E-mail megerősítve itt: microsoft.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
4122023
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
2382023
Knowledge-grounded dialogue generation with pre-trained language models
X Zhao, W Wu, C Xu, C Tao, D Zhao, R Yan
EMNLP 2020, 2020
1992020
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
1472019
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
1442023
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
1322019
Low-Resource Knowledge-Grounded Dialogue Generation
X Zhao, W Wu, C Tao, C Xu, D Zhao, R Yan
ICLR-2020, 2020
1082020
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
942019
Neural response generation with dynamic vocabularies
Y Wu, W Wu, D Yang, C Xu, Z Li, M Zhou
AAAI-2018, 2017
802017
Zero-Resource Knowledge-Grounded Dialogue Generation
L Li, C Xu, W Wu, Y Zhao, X Zhao, C Tao
NeurIPS 2020, 2020
722020
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
712022
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
572021
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
432019
Knowledge enhanced hybrid neural network for text matching
Y Wu, W Wu, X Can, Z Li, M Zhou
AAAI-2018, 2016
432016
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ...
arXiv preprint arXiv:2404.14219, 2024
402024
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
402021
Neural Response Generation with Meta-Words
C Xu, W Wu, C Tao, H Hu, M Schuerman, Y Wang
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
402019
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
392021
Towards explainable and controllable open domain dialogue generation with dialogue acts
C Xu, W Wu, Y Wu
arXiv preprint arXiv:1807.07255, 2018
342018
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
332021
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