Yunzhi Yao

According to our database, Yunzhi Yao authored at least 45 papers between 2021 and 2026.

Collaborative distances:

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

2026

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models.

Haoming Xu, Weihong Xu, Zongrui Li, Mengru Wang, Yunzhi Yao, Chiyu Wu, Jin Shang, Yu Gong, Shumin Deng

CoRR, May, 2026

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems.

Xinle Deng, Ruobin Zhong, Hujin Peng, Xiaoben Lu, Yanzhe Wu, Guang Li, Buqiang Xu, Yunzhi Yao, Jizhan Fang, Haoliang Cao, Junjie Guo, Yuan Yuan, Ziqing Ma, Yuanqiang Yu, Rui Hu, Baohua Dong, Hangcheng Zhu, Ningyu Zhang

CoRR, May, 2026

StructMem: Structured Memory for Long-Horizon Behavior in LLMs.

Buqiang Xu, Yijun Chen, Jizhan Fang, Ruobin Zhong, Yunzhi Yao, Yuqi Zhu, Lun Du, Shumin Deng

CoRR, April, 2026

CURE:Circuit-Aware Unlearning for LLM-based Recommendation.

Ziheng Chen, Jiali Cheng, Zezhong Fan, Hadi Amiri, Yunzhi Yao, Xiangguo Sun, Yang Zhang

CoRR, April, 2026

SkillNet: Create, Evaluate, and Connect AI Skills.

Yuan Liang, Ruobin Zhong, Haoming Xu, Chen Jiang, Yi Zhong, Runnan Fang, Jia-Chen Gu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Xin Xu, Tongtong Wu, Kun Wang, Yang Liu, Zhen Bi, Jungang Lou, Yuchen Eleanor Jiang, Hangcheng Zhu, Gang Yu, Haiwen Hong, Longtao Huang, Hui Xue, Chenxi Wang, Yijun Wang, Zifei Shan, Xi Chen, Zhaopeng Tu, Feiyu Xiong, Xin Xie, Peng Zhang, Zhengke Gui, Lei Liang, Jun Zhou, Chiyu Wu, Jin Shang, Yu Gong, Junyu Lin, Changliang Xu, Hongjie Deng, Wen Zhang, Keyan Ding, Qiang Zhang, Fei Huang, Ningyu Zhang, Jeff Z. Pan, Guilin Qi, Haofen Wang, Huajun Chen

CoRR, March, 2026

From Data to Behavior: Predicting Unintended Model Behaviors Before Training.

Mengru Wang, Zhenqian Xu, Junfeng Fang, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang

CoRR, February, 2026

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics.

Ziwen Xu, Chenyan Wu, Hengyu Sun, Haiwen Hong, Mengru Wang, Yunzhi Yao, Longtao Huang, Hui Xue, Shumin Deng, Zhixuan Chu, Huajun Chen, Ningyu Zhang

CoRR, February, 2026

Survey on Factuality in Large Language Models.

Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

ACM Comput. Surv., January, 2026

Aligning Agentic World Models via Knowledgeable Experience Learning.

Baochang Ren, Yunzhi Yao, Rui Sun, Shuofei Qiao, Ningyu Zhang, Huajun Chen

CoRR, January, 2026

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency.

Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang, Xinle Deng, Shumin Deng, Jeff Z. Pan, Huajun Chen, Ningyu Zhang

CoRR, January, 2026

How Do Large Language Models Learn Concepts During Continual Pre-Training?

Barry Menglong Yao, Sha Li, Yunzhi Yao, Minqian Liu, Zaishuo Xia, Qifan Wang, Lifu Huang

CoRR, January, 2026

ReCode: Updating Code API Knowledge with Reinforcement Learning.

Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LightMem: Lightweight and Efficient Memory-Augmented Generation.

Jizhan Fang, Xinle Deng, Haoming Xu, Ziyan Jiang, Yuqi Tang, Ziwen Xu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Huajun Chen, Ningyu Zhang

CoRR, October, 2025

Energy-Regularized Sequential Model Editing on Hyperspheres.

Qingyuan Liu, Jia-Chen Gu, Yunzhi Yao, Hong Wang, Nanyun Peng

CoRR, October, 2025

ReCode: Updating Code API Knowledge with Reinforcement Learning.

Haoze Wu, Yunzhi Yao, Wenhao Yu, Huajun Chen, Ningyu Zhang

CoRR, June, 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, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners.

Yunzhi Yao, Jizhan Fang, Jia-Chen Gu, Ningyu Zhang, Shumin Deng, Huajun Chen, Nanyun Peng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Exploring Model Kinship for Merging Large Language Models.

Yedi Hu, Yunzhi Yao, Ningyu Zhang, Huajun Chen, Shumin Deng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training.

Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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, Huajun Chen, Ningyu Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

World Wide Web (WWW), September, 2024

Benchmarking Chinese Knowledge Rectification in Large Language Models.

Tianhe Lu, Jizhan Fang, Yunzhi Yao, Xin Xu, Ningyu Zhang, 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

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.

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

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Knowledge Circuits in Pretrained Transformers.

Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models.

Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unveiling the Pitfalls of Knowledge Editing for Large Language Models.

Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Mechanisms in Large Language Models: A Survey and Perspective.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Editing Conceptual Knowledge for Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Detoxifying Large Language Models via Knowledge Editing.

Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

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, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

CoRR, 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

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

Editing Large Language Models: Problems, Methods, and Opportunities.

Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang

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

Reasoning with Language Model Prompting: A Survey.

Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen

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

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.

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

CoRR, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.

Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Kformer: Knowledge Injection in Transformer Feed-Forward Layers.

Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, Ningyu Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains.

Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021