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Yunzhi Yao
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2020 – today
- 2026
- [j2]Cunxiang Wang
, Xiaoze Liu
Survey on Factuality in Large Language Models. ACM Comput. Surv. 58(1): 13:1-13:37 (2026) - [c22]Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang:
ReCode: Updating Code API Knowledge with Reinforcement Learning. AAAI 2026: 33908-33916 - [i37]Barry Menglong Yao, Sha Li, Yunzhi Yao, Minqian Liu, Zaishuo Xia, Qifan Wang, Lifu Huang:
How Do Large Language Models Learn Concepts During Continual Pre-Training? CoRR abs/2601.03570 (2026) - [i36]Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang, Xinle Deng, Shumin Deng, Jeff Z. Pan, Huajun Chen, Ningyu Zhang:
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency. CoRR abs/2601.05905 (2026) - [i35]Baochang Ren, Yunzhi Yao, Rui Sun, Shuofei Qiao, Ningyu Zhang, Huajun Chen:
Aligning Agentic World Models via Knowledgeable Experience Learning. CoRR abs/2601.13247 (2026) - [i34]Ziwen Xu, Chenyan Wu, Hengyu Sun
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics. CoRR abs/2602.02343 (2026) - [i33]Mengru Wang, Zhenqian Xu, Junfeng Fang, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang:
From Data to Behavior: Predicting Unintended Model Behaviors Before Training. CoRR abs/2602.04735 (2026) - [i32]Yuan Liang, Ruobin Zhong
SkillNet: Create, Evaluate, and Connect AI Skills. CoRR abs/2603.04448 (2026) - [i31]Ziheng Chen, Jiali Cheng, Zezhong Fan, Hadi Amiri, Yunzhi Yao, Xiangguo Sun, Yang Zhang:
CURE:Circuit-Aware Unlearning for LLM-based Recommendation. CoRR abs/2604.04982 (2026) - 2025
- [c21]Jizhan Fang, Tianhe Lu
CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs. ACL (1) 2025: 8789-8807 - [c20]Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen:
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training. ACL (Findings) 2025: 19889-19913 - [c19]Ziwen Xu, Shuxun Wang, Kewei Xu, Haoming Xu, Mengru Wang, Xinle Deng, Yunzhi Yao, Guozhou Zheng, Huajun Chen, Ningyu Zhang:
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models. EMNLP (System Demonstrations) 2025: 522-535 - [c18]Yedi Hu, Yunzhi Yao, Ningyu Zhang, Huajun Chen, Shumin Deng:
Exploring Model Kinship for Merging Large Language Models. EMNLP (Findings) 2025: 596-625 - [c17]Yunzhi Yao, Jizhan Fang, Jia-Chen Gu, Ningyu Zhang, Shumin Deng, Huajun Chen, Nanyun Peng:
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners. EMNLP 2025: 11366-11382 - [i30]Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen:
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training. CoRR abs/2502.11196 (2025) - [i29]Yunzhi Yao, Jizhan Fang, Jia-Chen Gu, Ningyu Zhang, Shumin Deng, Huajun Chen, Nanyun Peng:
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners. CoRR abs/2503.16356 (2025) - [i28]Ziwen Xu, Shuxun Wang, Kewei Xu, Haoming Xu, Mengru Wang, Xinle Deng, Yunzhi Yao, Guozhou Zheng, Huajun Chen, Ningyu Zhang:
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models. CoRR abs/2504.15133 (2025) - [i27]Mengru Wang, Xingyu Chen, Yue Wang, Zhiwei He, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu:
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training. CoRR abs/2505.14681 (2025) - [i26]Haoze Wu, Yunzhi Yao, Wenhao Yu, Huajun Chen, Ningyu Zhang:
ReCode: Updating Code API Knowledge with Reinforcement Learning. CoRR abs/2506.20495 (2025) - [i25]Qingyuan Liu, Jia-Chen Gu, Yunzhi Yao, Hong Wang, Nanyun Peng:
Energy-Regularized Sequential Model Editing on Hyperspheres. CoRR abs/2510.01172 (2025) - [i24]Jizhan Fang, Xinle Deng, Haoming Xu, Ziyan Jiang, Yuqi Tang, Ziwen Xu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Huajun Chen, Ningyu Zhang:
LightMem: Lightweight and Efficient Memory-Augmented Generation. CoRR abs/2510.18866 (2025) - 2024
- [j1]Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang:
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. World Wide Web (WWW) 27(5): 58 (2024) - [c16]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. ACL (3) 2024: 82-93 - [c15]Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen:
Detoxifying Large Language Models via Knowledge Editing. ACL (1) 2024: 3093-3118 - [c14]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 - [c13]Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. EMNLP (Findings) 2024: 7097-7135 - [c12]Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen:
Unveiling the Pitfalls of Knowledge Editing for Large Language Models. ICLR 2024 - [c11]Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models. NeurIPS 2024 - [c10]Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen:
Knowledge Circuits in Pretrained Transformers. NeurIPS 2024 - [c9]Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. VLDB Workshops 2024 - [i23]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) - [i22]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) - [i21]Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang
Detoxifying Large Language Models via Knowledge Editing. CoRR abs/2403.14472 (2024) - [i20]Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models. CoRR abs/2405.14768 (2024) - [i19]Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen:
Knowledge Circuits in Pretrained Transformers. CoRR abs/2405.17969 (2024) - [i18]Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. CoRR abs/2407.15017 (2024) - [i17]Tianhe Lu, Jizhan Fang, Yunzhi Yao, Xin Xu, Ningyu Zhang, Huajun Chen:
Benchmarking Chinese Knowledge Rectification in Large Language Models. CoRR abs/2409.05806 (2024) - [i16]Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. CoRR abs/2409.07497 (2024) - [i15]Yedi Hu, Yunzhi Yao, Ningyu Zhang, Shumin Deng, Huajun Chen:
Exploring Model Kinship for Merging Large Language Models. CoRR abs/2410.12613 (2024) - 2023
- [c8]Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen:
Reasoning with Language Model Prompting: A Survey. ACL (1) 2023: 5368-5393 - [c7]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 - [c6]Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang:
Editing Large Language Models: Problems, Methods, and Opportunities. EMNLP 2023: 10222-10240 - [c5]Yunzhi Yao
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. SIGIR 2023: 911-921 - [i14]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) - [i13]Yuqi Zhu
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities. CoRR abs/2305.13168 (2023) - [i12]Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang:
Editing Large Language Models: Problems, Methods, and Opportunities. CoRR abs/2305.13172 (2023) - [i11]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) - [i10]Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen:
Unveiling the Pitfalls of Knowledge Editing for Large Language Models. CoRR abs/2310.02129 (2023) - [i9]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) - [i8]Cunxiang Wang, Xiaoze Liu
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - 2022
- [c4]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. NAACL-HLT (Findings) 2022: 1607-1618 - [c3]Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, Ningyu Zhang:
Kformer: Knowledge Injection in Transformer Feed-Forward Layers. NLPCC (1) 2022: 131-143 - [c2]Xiang Chen, Ningyu Zhang
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. WWW 2022: 2778-2788 - [i7]Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen:
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. CoRR abs/2201.03335 (2022) - [i6]Yunzhi Yao, Shaohan Huang, Ningyu Zhang, Li Dong, Furu Wei, Huajun Chen:
Kformer: Knowledge Injection in Transformer Feed-Forward Layers. CoRR abs/2201.05742 (2022) - [i5]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. CoRR abs/2205.03521 (2022) - [i4]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) - [i3]Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen:
Reasoning with Language Model Prompting: A Survey. CoRR abs/2212.09597 (2022) - 2021
- [c1]Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei:
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. ACL/IJCNLP (Findings) 2021: 460-470 - [i2]Xiang Chen, Ningyu Zhang
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. CoRR abs/2104.07650 (2021) - [i1]Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei:
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. CoRR abs/2106.13474 (2021)
Coauthor Index
[c22] [i36] [i35] [i34] [i33] [i32] [c21] [c20] [c19] [c18] [c17] [i30] [i29] [i28] [i27] [i26] [i24] [j1] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c8] [c7] [c6] [c5] [i14] [i13] [i12] [i11] [i10] [i9] [c4] [c3] [c2] [i7] [i6] [i5] [i4] [i3] [i2]
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