Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
EMNLP
Ruiyu, Xiao and Lei, Wu and Yuhang, Gou and Weinan, Zhang and Ting, Liu
Weinan Zhang
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
EMNLP
Ruiyu, Xiao and Lei, Wu and Yuhang, Gou and Weinan, Zhang and Ting, Liu
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
findings of ACL
Mingda, Li and Xinyu, Li and Yifan, Chen and Wenfeng, Xuan and Wei-Nan, Zhang
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
findings of ACL
Mingda, Li and Xinyu, Li and Yifan, Chen and Wenfeng, Xuan and Wei-Nan, Zhang
Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective
IEEE Transaction on Neural Networks and Learning Systems
Qi, Biqing and Zhou, Bowen and Zhang, Weinan and Liu, Jianxing and Wu, Ligang
Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective
IEEE Transaction on Neural Networks and Learning Systems
Qi, Biqing and Zhou, Bowen and Zhang, Weinan and Liu, Jianxing and Wu, Ligang
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
KDD
Dong, Hongyuan and Zhang, Weinan and Che*, Wanxiang
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
KDD
Dong, Hongyuan and Zhang, Weinan and Che*, Wanxiang
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
CCL
Zhuang, Ziyu and Chen, Qiguang and Ma, Longxuan and Li, Mingda and Han, Yi and Qian, Yushan and Bai, Haopeng and Zhang, Weinan and Liu, Ting
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
CCL
Zhuang, Ziyu and Chen, Qiguang and Ma, Longxuan and Li, Mingda and Han, Yi and Qian, Yushan and Bai, Haopeng and Zhang, Weinan and Liu, Ting
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
SIGIR
Liu, Yuanxing and Zhang, Weinan and Dong, Baohua and Fan, Yan and Wang, Hang and Feng, Fan and Chen, Yifan and Zhuang, Ziyu and Cui, Hengbin and Li, Yongbin and Che, Wanxiang
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
SIGIR
Liu, Yuanxing and Zhang, Weinan and Dong, Baohua and Fan, Yan and Wang, Hang and Feng, Fan and Chen, Yifan and Zhuang, Ziyu and Cui, Hengbin and Li, Yongbin and Che, Wanxiang
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
TOIS
Zhang, Weinan and Cui, Yiming and Zhang, Kaiyan and Wang, Yifa and Zhu, Qingfu and Li, Lingzhi and Liu, Ting
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
TOIS
Zhang, Weinan and Cui, Yiming and Zhang, Kaiyan and Wang, Yifa and Zhu, Qingfu and Li, Lingzhi and Liu, Ting
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Di, Donglin and Song, Xianyang and Zhang, Weinan and Zhang, Yue and Wang, Fanglin
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Di, Donglin and Song, Xianyang and Zhang, Weinan and Zhang, Yue and Wang, Fanglin
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment
ACL
Song, Haoyu and Dong, Li and Zhang, Weinan and Liu, Ting and Wei, Furu
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment
ACL
Song, Haoyu and Dong, Li and Zhang, Weinan and Liu, Ting and Wei, Furu
An Evaluation of Chinese Human-Computer Dialogue Technology
Data Intelligence (2019) 1 (2): 187–200.
Zhao, Zhengyu and Zhang, Weinan and Che, Wanxiang and Chen, Zhigang and Zhang, Yibo
An Evaluation of Chinese Human-Computer Dialogue Technology
Data Intelligence (2019) 1 (2): 187–200.
Zhao, Zhengyu and Zhang, Weinan and Che, Wanxiang and Chen, Zhigang and Zhang, Yibo