Qingfeng Sun
Qingfeng Sun
Data Scientist, Microsoft
Verified email at - Homepage
Cited by
Cited by
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
C Xu*, Q Sun*, K Zheng*, X Geng, P Zhao, J Feng, C Tao, Q Lin, D Jiang
ICLR-2024, 2023
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
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification
S Sun*, Q Sun*, K Zhou, T Lv
EMNLP-2019, 2019
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
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
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
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
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection
K Zheng, Q Sun, Y Yang, F Xu
EMNLP-2022, Findings, 2022
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting
Q Sun, C Xu, H Hu, Y Wang, J Miao, X Geng, Y Chen, F Xu, D Jiang
NAACL-2022, 2022
Self-supervised multi-modal sequential recommendation
K Song, Q Sun, C Xu, K Zheng, Y Yang
arXiv preprint arXiv:2304.13277, 2023
Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners
K Zheng, Q Sun, Y Yang, T Lv, Y Pi, C Zhao, F Xu, Q Zhang
ACL-2023, Findings, 2023
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