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Shengyu Mao
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2020 – today
- 2025
[c10]Mengru Wang, Ziwen Xu, Shengyu Mao, Shumin Deng, Zhaopeng Tu, Huajun Chen, Ningyu Zhang:
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms. ACL (1) 2025: 23381-23399
[i10]Mengru Wang, Ziwen Xu, Shengyu Mao, Shumin Deng, Zhaopeng Tu, Huajun Chen, Ningyu Zhang:
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms. CoRR abs/2505.20322 (2025)- 2024
[c9]Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang:
Editing Conceptual Knowledge for Large Language Models. EMNLP (Findings) 2024: 706-724
[c8]Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
RaFe: Ranking Feedback Improves Query Rewriting for RAG. EMNLP (Findings) 2024: 884-901
[c7]Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang:
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. EMNLP 2024: 1266-1280
[c6]Shengyu Mao, Xiaohan Wang, Mengru Wang, Yong Jiang, Pengjun Xie, Fei Huang, Ningyu Zhang:
Editing Personality For Large Language Models. NLPCC (2) 2024: 241-254
[i9]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:
A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR abs/2401.01286 (2024)
[i8]Xiaohan Wang, Shengyu Mao, Ningyu Zhang, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen:
Editing Conceptual Knowledge for Large Language Models. CoRR abs/2403.06259 (2024)
[i7]Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
RaFe: Ranking Feedback Improves Query Rewriting for RAG. CoRR abs/2405.14431 (2024)
[i6]Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang:
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. CoRR abs/2408.02103 (2024)- 2023
[c5]Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi:
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. ACL (1) 2023: 351-363
[c4]Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Rumination for Pre-trained Language Models. EMNLP 2023: 3387-3404
[c3]Yunzhi Yao
, Shengyu Mao
, Ningyu Zhang
, Xiang Chen
, Shumin Deng
, Xi Chen
, Huajun Chen
:
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. SIGIR 2023: 911-921
[i5]Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Rumination for Pre-trained Language Models. CoRR abs/2305.08732 (2023)
[i4]Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi:
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. CoRR abs/2305.13617 (2023)
[i3]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:
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. CoRR abs/2308.07269 (2023)
[i2]Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Editing Personality for LLMs. CoRR abs/2310.02168 (2023)- 2022
[c2]Shengyu Mao, Pengyi Hao, Cong Bai:
Deep Correlation based Concept Recommendation for MOOCs. SEKE 2022: 622-627
[i1]Yunzhi Yao, Shengyu Mao, Xiang Chen, Ningyu Zhang, Shumin Deng, Huajun Chen:
Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction. CoRR abs/2210.10709 (2022)- 2021
[c1]Binglong Ye, Shengyu Mao, Pengyi Hao, Wei Chen, Cong Bai:
Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities. KSEM 2021: 279-293
Coauthor Index

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last updated on 2025-10-02 01:20 CEST by the dblp team
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