Follow
Chongyang Tao
Chongyang Tao
Beihang University
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
Proc. ICLR, 2023
3752023
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
C Tao, L Mou, D Zhao, R Yan
Proc. AAAI, 722--729, 2018
2442018
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
Proc. ICLR, 2024
2002024
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
X Zhao, W Wu, C Xu, C Tao, D Zhao, R Yan
Proc. EMNLP, 2020
1972020
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
W Hu*, Z Lin*, B Liu*, C Tao, Z Tao, J Ma, D Zhao, R Yan
Proc. ICLR, 2018
1622018
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism.
C Tao, S Gao, M Shang, W Wu, D Zhao, R Yan
Proc. IJCAI, 4418-4424, 2018
1482018
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
Proc. WSDM, 267-275, 2019
1462019
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
Proc. ACL, 2019
1322019
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
1222023
Low-Resource Knowledge-Grounded Dialogue Generation
X Zhao, W Wu, C Tao, C Xu, D Zhao, R Yan
Proc. ICLR, 2020
1072020
Zero-Resource Knowledge-Grounded Dialogue Generation
L Li, C Xu, W Wu, Y Zhao, X Zhao, C Tao
Proc. NeurIPS, 2020
732020
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
Y Wang, C Xu, Q Sun, H Hu, C Tao, X Geng, D Jiang
Proc. ACL, 2022
672022
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
R Xu, C Tao, D Jiang, X Zhao, D Zhao, R Yan
Proc. AAAI, 2021
652021
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
X Zhao*, C Tao*, W Wu, C Xu, D Zhao, R Yan
Proc. IJCAI, 2019
422019
Neural Response Generation with Meta-Words
C Xu, W Wu, C Tao, H Hu, M Schuerman, Y Wang
Proc. ACL, 2019
402019
Iterative Document Representation Learning Towards Summarization with Polishing
X Chen, S Gao, C Tao, Y Song, D Zhao, R Yan
Proc. EMNLP, 2018
402018
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
JC Gu, C Tao, ZH Ling, C Xu, X Geng, D Jiang
Proc. ACL, 2021
392021
Multi-Granularity Structural Knowledge Distillation for Language Model Compression
C Liu, C Tao, J Feng, D Zhao
Proc. ACL, 1001-1011, 2022
342022
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
J Li, C Tao, Y Feng, D Zhao, R Yan
Proc. EMNLP, 1291-1296, 2019
342019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
J Feng*, C Tao*, W Wu, Y Feng, D Zhao, R Yan
Proc. ACL, 2019
312019
The system can't perform the operation now. Try again later.
Articles 1–20