Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. - Yunzhi Yao; Shaohan Huang; Wenhui Wang 003; Li Dong 004; Furu Wei (ACL/IJCNLP (Findings), 2021)

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. - Xiang Chen 016; Ningyu Zhang 001; Lei Li 040; Yunzhi Yao; Shumin Deng; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (NAACL-HLT (Findings), 2022)

Kformer: Knowledge Injection in Transformer Feed-Forward Layers. - Yunzhi Yao; Shaohan Huang; Li Dong 004; Furu Wei; Huajun Chen; Ningyu Zhang 001 (NLPCC (1), 2022)

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. - Xiang Chen 016; Ningyu Zhang 001; Xin Xie 006; Shumin Deng; Yunzhi Yao; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (WWW, 2022)

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. - Ningyu Zhang 001; Xin Xu 010; Liankuan Tao; Haiyang Yu 003; Hongbin Ye; Xin Xie 006; Xiang Chen 016; Zhoubo Li; Lei Li 040; Xiaozhuan Liang; Yunzhi Yao; Shumin Deng; et al. (CoRR, 2022)

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. - Xiang Chen 016; Ningyu Zhang 001; Lei Li 040; Yunzhi Yao; Shumin Deng; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (CoRR, 2022)

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction. - Yunzhi Yao; Shengyu Mao; Xiang Chen 016; Ningyu Zhang 001; Shumin Deng; Huajun Chen (CoRR, 2022)

Reasoning with Language Model Prompting: A Survey. - Shuofei Qiao; Yixin Ou; Ningyu Zhang 001; Xiang Chen 016; Yunzhi Yao; Shumin Deng; Chuanqi Tan; Fei Huang 002; Huajun Chen (ACL (1), 2023)

Knowledge Rumination for Pre-trained Language Models. - Yunzhi Yao; Peng Wang 104; Shengyu Mao; Chuanqi Tan; Fei Huang 002; Huajun Chen; Ningyu Zhang 001 (EMNLP, 2023)

Editing Large Language Models: Problems, Methods, and Opportunities. - Yunzhi Yao; Peng Wang 104; Bozhong Tian; Siyuan Cheng 008; Zhoubo Li; Shumin Deng; Huajun Chen; Ningyu Zhang 001 (EMNLP, 2023)

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. - Yunzhi Yao; Shengyu Mao; Ningyu Zhang 001; Xiang Chen 016; Shumin Deng; Xi Chen 003; Huajun Chen (SIGIR, 2023)

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. - Peng Wang 104; Ningyu Zhang 001; Bozhong Tian; Zekun Xi; Yunzhi Yao; Ziwen Xu; Mengru Wang; Shengyu Mao; Xiaohan Wang; Siyuan Cheng 008; Kangwei Liu; Yuansheng Ni; et al. (CoRR, 2023)

Editing Personality for LLMs. - Shengyu Mao; Ningyu Zhang 001; Xiaohan Wang; Mengru Wang; Yunzhi Yao; Yong Jiang 001; Pengjun Xie; Fei Huang 002; Huajun Chen (CoRR, 2023)

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. - Cunxiang Wang; Xiaoze Liu; Yuanhao Yue; Xiangru Tang; Tianhang Zhang; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang; Linyi Yang; et al. (CoRR, 2023)

Detoxifying Large Language Models via Knowledge Editing. - Mengru Wang; Ningyu Zhang 001; Ziwen Xu; Zekun Xi; Shumin Deng; Yunzhi Yao; Qishen Zhang; Linyi Yang; Jindong Wang 001; Huajun Chen (ACL (1), 2024)

Editing Conceptual Knowledge for Large Language Models. - Xiaohan Wang; Shengyu Mao; Shumin Deng; Yunzhi Yao; Yue Shen; Lei Liang 002; Jinjie Gu; Huajun Chen; Ningyu Zhang 001 (EMNLP (Findings), 2024)

Knowledge Mechanisms in Large Language Models: A Survey and Perspective. - Mengru Wang; Yunzhi Yao; Ziwen Xu; Shuofei Qiao; Shumin Deng; Peng Wang 104; Xiang Chen 016; Jia-Chen Gu; Yong Jiang 001; Pengjun Xie; Fei Huang 002; Huajun Chen; et al. (EMNLP (Findings), 2024)

Unveiling the Pitfalls of Knowledge Editing for Large Language Models. - Zhoubo Li; Ningyu Zhang 001; Yunzhi Yao; Mengru Wang; Xi Chen 003; Huajun Chen (ICLR, 2024)

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models. - Peng Wang 104; Zexi Li; Ningyu Zhang 001; Ziwen Xu; Yunzhi Yao; Yong Jiang 001; Pengjun Xie; Fei Huang 002; Huajun Chen (NeurIPS, 2024)

Knowledge Circuits in Pretrained Transformers. - Yunzhi Yao; Ningyu Zhang 001; Zekun Xi; Mengru Wang; Ziwen Xu; Shumin Deng; Huajun Chen (NeurIPS, 2024)

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. - Ningyu Zhang 001; Zekun Xi; Yujie Luo; Peng Wang 104; Bozhong Tian; Yunzhi Yao; Jintian Zhang; Shumin Deng; Mengshu Sun; Lei Liang 002; Zhiqiang Zhang 012; Xiaowei Zhu; et al. (VLDB Workshops, 2024)

A Comprehensive Study of Knowledge Editing for Large Language Models. - Ningyu Zhang 001; Yunzhi Yao; Bozhong Tian; Peng Wang 104; Shumin Deng; Mengru Wang; Zekun Xi; Shengyu Mao; Jintian Zhang; Yuansheng Ni; Siyuan Cheng 008; Ziwen Xu; et al. (CoRR, 2024)

Benchmarking Chinese Knowledge Rectification in Large Language Models. - Tianhe Lu; Jizhan Fang; Yunzhi Yao; Xin Xu 010; Ningyu Zhang 001; Huajun Chen (CoRR, 2024)

Exploring Model Kinship for Merging Large Language Models. - Yedi Hu; Yunzhi Yao; Ningyu Zhang 001; Shumin Deng; Huajun Chen (CoRR, 2024)

LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. - Yuqi Zhu; Xiaohan Wang; Jing Chen; Shuofei Qiao; Yixin Ou; Yunzhi Yao; Shumin Deng; Huajun Chen; Ningyu Zhang 001 (World Wide Web (WWW), 2024)

CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs. - Jizhan Fang; Tianhe Lu; Yunzhi Yao; Ziyan Jiang; Xin Xu 010; Huajun Chen; Ningyu Zhang 001 (ACL (1), 2025)

How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training. - Yixin Ou; Yunzhi Yao; Ningyu Zhang 001; Hui Jin; Jiacheng Sun; Shumin Deng; Zhenguo Li; Huajun Chen (ACL (Findings), 2025)

CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners. - Yunzhi Yao; Jizhan Fang; Jia-Chen Gu; Ningyu Zhang 001; Shumin Deng; Huajun Chen; Nanyun Peng 001 (CoRR, 2025)

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models. - Ziwen Xu; Shuxun Wang; Kewei Xu; Haoming Xu; Mengru Wang; Xinle Deng; Yunzhi Yao; Guozhou Zheng; Huajun Chen; Ningyu Zhang 001 (CoRR, 2025)

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training. - Mengru Wang; Xingyu Chen; Yue Wang; Zhiwei He 002; Jiahao Xu; Tian Liang; Qiuzhi Liu; Yunzhi Yao; Wenxuan Wang 001; Ruotian Ma; Haitao Mi; Ningyu Zhang 001; et al. (CoRR, 2025)

ReCode: Updating Code API Knowledge with Reinforcement Learning. - Haoze Wu; Yunzhi Yao; Wenhao Yu 002; Huajun Chen; Ningyu Zhang 001 (CoRR, 2025)