Shengyu Mao

According to our database, Shengyu Mao authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Editing Conceptual Knowledge for Large Language Models.

Xiaohan Wang, Shengyu Mao, Ningyu Zhang, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen

CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.

Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

CoRR, 2024

2023

Editing Personality for LLMs.

Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CoRR, 2023

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models.

Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, Kangwei Liu, Yuansheng Ni, Guozhou Zheng, Huajun Chen

CoRR, 2023

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction.

Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Knowledge Rumination for Pre-trained Language Models.

Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres.

Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction.

Yunzhi Yao, Shengyu Mao, Xiang Chen, Ningyu Zhang, Shumin Deng, Huajun Chen

CoRR, 2022

Deep Correlation based Concept Recommendation for MOOCs.

Shengyu Mao, Pengyi Hao, Cong Bai

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

2021

Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities.

Binglong Ye, Shengyu Mao, Pengyi Hao, Wei Chen, Cong Bai

Proceedings of the Knowledge Science, Engineering and Management, 2021