Yunzhi Yao

Most-cited papers

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen, Ningyu Zhang, Ningyu Zhang, Xin Xie +6 more
2021The Web Conference519 citations Open access
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Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bo Tian, Siyuan Cheng +4 more
2023Conference on Empirical Methods in Natural Language Processing512 citations Open access
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Reasoning with Language Model Prompting: A Survey
Shuo-Fei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen +5 more
2022Annual Meeting of the Association for Computational Linguistics454 citations Open access
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LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities
Yu-Qi Zhu, Xiao-Han Wang, Jing Chen, Shuo-Fei Qiao +5 more
2023World wide web (Bussum)333 citations Open access
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Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
Cunxiang Wang, Xiaoze Liu, Yuan-Hao Yue, Xiangru Tang +12 more
2023arXiv.org305 citations Open access
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LightMem: Lightweight and Efficient Memory-Augmented Generation
Jizhan Fang, Xin-Le Deng, Haoming Xu, Ziyan Jiang +8 more
2025arXiv.org190 citations
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A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang, Yunzhi Yao, Bo Tian, Peng Wang +18 more
2024arXiv.org189 citations
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WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
Peng Wang, Ze-Xi Li, Ningyu Zhang, Ziwen Xu +5 more
2024Neural Information Processing Systems133 citations
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Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao +5 more
2022NAACL-HLT130 citations Open access
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Detoxifying Large Language Models via Knowledge Editing
Meng-Ru Wang, Ningyu Zhang, Ziwen Xu, Ze-Kun Xi +6 more
2024Annual Meeting of the Association for Computational Linguistics127 citations
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EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
Peng Wang, Ningyu Zhang, Xin Xie, Yunzhi Yao +8 more
2023Annual Meeting of the Association for Computational Linguistics127 citations Open access
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Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Meng-Ru Wang, Yunzhi Yao, Ziwen Xu, Shuo-Fei Qiao +9 more
2024Conference on Empirical Methods in Natural Language Processing81 citations
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Knowledge Circuits in Pretrained Transformers
Yunzhi Yao, Ningyu Zhang, Ze-Kun Xi, Meng-Ru Wang +3 more
2024Neural Information Processing Systems72 citations
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DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Ningyu Zhang, Xin Xu, Li Tao, Hai-Yang Yu +18 more
2022Conference on Empirical Methods in Natural Language Processing66 citations Open access
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Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains
Yunzhi Yao, Shao-Han Huang, Wen-Hui Wang, Li Dong +1 more
2021Findings61 citations Open access
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Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Nvidia Aaron Blakeman, A. Thomas, Aastha Jhunjhunwala, Abhibha Gupta +496 more
202655 citations
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Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Xiang Chen, Ningyu Zhang, Ningyu Zhang, Lei Li +6 more
2022arXiv.org54 citations Open access
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Survey on Factuality in Large Language Models
Cunxiang Wang, Xiao-Ze Liu, Yuan-Hao Yue, Qipeng Guo +14 more
2025ACM Computing Surveys53 citations Open access
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Kformer: Knowledge Injection in Transformer Feed-Forward Layers
Yunzhi Yao, Shao-Han Huang, Ningyu Zhang, Li Dong +2 more
2022Natural Language Processing and Chinese Computing53 citations Open access
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Unveiling the Pitfalls of Knowledge Editing for Large Language Models
Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Meng-Ru Wang +2 more
2023arXiv.org51 citations Open access
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Editing Conceptual Knowledge for Large Language Models
Xiao-Han Wang, Shengyu Mao, Ningyu Zhang, Shumin Deng +5 more
2024Conference on Empirical Methods in Natural Language Processing28 citations
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How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin +4 more
2025Annual Meeting of the Association for Computational Linguistics27 citations
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Editing Personality for LLMs
Shengyu Mao, Ningyu Zhang, Xiao-Han Wang, Meng-Ru Wang +5 more
2023arXiv.org24 citations Open access
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Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiangnan Chen +3 more
2022Annual International ACM SIGIR Conference on Research and Development in Information Retrieval24 citations Open access
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StructMem: Structured Memory for Long-Horizon Behavior in LLMs
Buqiang Xu, Yijun Chen, Jizhan Fang, R. Zhong +4 more
2026Annual Meeting of the Association for Computational Linguistics20 citations
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Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
Meng-Ru Wang, Xing-Yu Chen, Yue Wang, Zhiwei He +11 more
2025Neural Information Processing Systems20 citations
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ReCode: Updating Code API Knowledge with Reinforcement Learning
Haoze Wu, Yunzhi Yao, Wen-Hao Yu, Hua-Jun Chen +1 more
2025AAAI Conference on Artificial Intelligence17 citations
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CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
Yunzhi Yao, Jizhan Fang, Jia-Chen Gu, Ningyu Zhang +3 more
2025Conference on Empirical Methods in Natural Language Processing14 citations
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OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
Ningyu Zhang, Ze-Kun Xi, Yu-Jie Luo, Peng Wang +10 more
2024VLDB Workshops12 citations
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Knowledge Editing for Large Language Models
Ningyu Zhang, Yunzhi Yao, Shumin Deng
2024International Conference on Language Resources and Evaluation11 citations
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Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chen Wu, He Sun, Hai-Wen Hong +8 more
2026Annual Meeting of the Association for Computational Linguistics9 citations
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EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
Ziwen Xu, Shuxun Wang, Kewei Xu, Haoming Xu +6 more
2025Conference on Empirical Methods in Natural Language Processing9 citations
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From Data to Behavior: Predicting Unintended Model Behaviors Before Training
Meng-Ru Wang, Zhen Xu, Jun-Feng Fang, Yunzhi Yao +3 more
2026arXiv.org8 citations
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Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction
Yunzhi Yao, Shengyu Mao, Xiang Chen, Ningyu Zhang +2 more
2022arXiv.org8 citations Open access
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CURE:Circuit-Aware Unlearning for LLM-based Recommendation
Zi-Heng Chen, Jiali Cheng, Zezhong Fan, Hadi Amiri +3 more
2026arXiv.org7 citations
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Knowledge Rumination for Pre-trained Language Models
Yunzhi Yao, Peng Wang, Shengyu Mao, Chuan-Qi Tan +3 more
2023Conference on Empirical Methods in Natural Language Processing6 citations Open access
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MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
Xin-Le Deng, R. Zhong, Hujin Peng, Xiaobe Lu +14 more
2026arXiv.org5 citations
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CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
Jizhan Fang, Tian-He Lu, Yunzhi Yao, Ziyan Jiang +3 more
2024Annual Meeting of the Association for Computational Linguistics5 citations Open access
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TokenPilot: Cache-Efficient Context Management for LLM Agents
Buqiang Xu, Z. Xue, Dian Chen, Chen-Yang Fu +11 more
2026arXiv.org4 citations
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Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
Haoming Xu, Ning-Yuan Zhao, Yunzhi Yao, Weihong Xu +6 more
2026Annual Meeting of the Association for Computational Linguistics4 citations
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Editing Large Language Models
Ningyu Zhang, Yunzhi Yao, Shumin Deng
2023International Joint Conference on Natural Language Processing4 citations
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How Do Large Language Models Learn Concepts During Continual Pre-Training?
B. Yao, Sha Li, Yunzhi Yao, Minqian Liu +6 more
2026arXiv.org3 citations
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When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
Haoming Xu, Weihong Xu, Zongrui Li, Meng-Ru Wang +5 more
2026arXiv.org3 citations
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Aligning Agentic World Models via Knowledgeable Experience Learning
Baochang Ren, Yunzhi Yao, Rui Sun, Shuo-Fei Qiao +2 more
2026arXiv.org3 citations
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Energy-Regularized Sequential Model Editing on Hyperspheres
Qing-Yuan Liu, Jia-Chen Gu, Yunzhi Yao, Hong Wang +1 more
2025arXiv.org3 citations
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Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence
Meng-Ru Wang, Jun-Feng Fang, Shuo-Fei Qiao, Zhen-Qiang Xu +16 more
20262 citations
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Exploring Model Kinship for Merging Large Language Models
Ye Hu, Yunzhi Yao, Ningyu Zhang, Shumin Deng +1 more
2024Conference on Empirical Methods in Natural Language Processing2 citations
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EM^2Mem: Event-Centric Multimodal Memory for Large Language Models
Yijun Chen, Yangfan Zheng, Yanyang Li, Bo-Yi Xiao +10 more
20261 citations
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Knowledge Injection of Structural CyberSecurity Concept into Large Language Models
Tung-Jui Hsieh, Yunzhi Yao, Shun-Wen Hsiao
2024BigData Congress [Services Society]1 citations
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S 2 ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, I. Beltagy +98 more
20221 citations
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