Pinzheng Wang

According to our database, Pinzheng Wang authored at least 10 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.

Dan Qiao, Yi Su, Pinzheng Wang, Jing Ye, Wenjing Xie, Yuechi Zhou, Yuyang Ding, Zecheng Tang, Jikai Wang, Yixin Ji, Yue Wang, Pei Guo, Zechen Sun, Zikang Zhang, Juntao Li, Pingfu Chao, Wenliang Chen, Guohong Fu, Guodong Zhou, Qiaoming Zhu, Min Zhang

CoRR, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.

Yuyang Ding, Juntao Li, Pinzheng Wang, Zecheng Tang, Bowen Yan, Min Zhang

CoRR, 2024

Achieving Stronger Generation via Simple Contrastive Tuning.

Zhimeng Wang, Pinzheng Wang, Juntao Li, Yibin Chen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CMD: a framework for Context-aware Model self-Detoxification.

Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.

Yuyang Ding, Juntao Li, Pinzheng Wang, Zecheng Tang, Yan Bowen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.

Juntao Li, Zecheng Tang, Yuyang Ding, Pinzheng Wang, Pei Guo, Wangjie You, Dan Qiao, Wenliang Chen, Guohong Fu, Qiaoming Zhu, Guodong Zhou, Min Zhang

CoRR, 2023

Detoxify Language Model Step-by-Step.

Zecheng Tang, Keyan Zhou, Pinzheng Wang, Yuyang Ding, Juntao Li, Min Zhang

CoRR, 2023

UFNRec: Utilizing False Negative Samples for Sequential Recommendation.

Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Future Augmentation with Self-distillation in Recommendation.

Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !

Zecheng Tang, Pinzheng Wang, Keyan Zhou, Juntao Li, Ziqiang Cao, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023