Shumin Deng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
16
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks. | Zekun Xi, Ziyan Jiang, Yujie Bao, Zhenqian Xu, Shumin Deng |
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities. | Ziwen Xu, Kewei Xu, Haoming Xu, Haiwen Hong, Longtao Huang, Hui Xue, Ningyu Zhang, Yongliang Shen, Guozhou Zheng, Huajun Chen, Shumin Deng |
| 2026 | ACL | 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 |
| 2026 | WSDM | LookAhead Tuning: Safer Language Models via Partial Answer Previews. | Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng |
| 2025 | ACL | 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 |
| 2025 | ACL | Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms. | Mengru Wang, Ziwen Xu, Shengyu Mao, Shumin Deng, Zhaopeng Tu, Huajun Chen, Ningyu Zhang |
| 2025 | ACL | ReLearn: Unlearning via Learning for Large Language Models. | Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu Zhang |
| 2025 | COLING | DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation. | Minzhi Li, Zhengyuan Liu, Shumin Deng, Shafiq Joty, Nancy F. Chen, Min-Yen Kan |
| 2025 | EMNLP | Exploring Model Kinship for Merging Large Language Models. | Yedi Hu, Yunzhi Yao, Ningyu Zhang, Huajun Chen, Shumin Deng |
| 2025 | EMNLP | Automating Steering for Safe Multimodal Large Language Models. | Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng |
| 2025 | EMNLP | CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners. | Yunzhi Yao, Jizhan Fang, Jia-Chen Gu, Ningyu Zhang, Shumin Deng, Huajun Chen, Nanyun Peng |
| 2025 | ICLR | MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation. | Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen |
| 2025 | ICML | FlipAttack: Jailbreak LLMs via Flipping. | Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi |
| 2025 | NAACL | KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. | Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang |
| 2025 | WWW | PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection. | Yuexin Li, Hiok Kuek Tan, Qiaoran Meng, Mei Lin Lock, Tri Cao, Shumin Deng, Nay Oo, Hoon Wei Lim, Bryan Hooi |
| 2024 | AAAI | When Do Program-of-Thought Works for Reasoning? | Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen |
| 2024 | ACL | 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 |
| 2024 | ACL | Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. | Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | VLDB | 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 |
| 2023 | ACL | SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. | Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi |
| 2023 | ACL | 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 |
| 2023 | EMNLP | Editing Large Language Models: Problems, Methods, and Opportunities. | Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang |
| 2023 | ICCV | From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal. | Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, Luxin Yan |
| 2023 | ICDE | Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. | Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen |
| 2023 | ICLR | Multimodal Analogical Reasoning over Knowledge Graphs. | Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen |
| 2023 | SIGIR | 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 |
| 2022 | AAAI | Molecular Contrastive Learning with Chemical Element Knowledge Graph. | Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen |
| 2022 | AAAI | Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). | Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen |
| 2022 | COLING | LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. | Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang |
| 2022 | ICLR | OntoProtein: Protein Pretraining With Gene Ontology Embedding. | Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen |
| 2022 | ICLR | Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. | Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2022 | NAACL | 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 |
| 2022 | WWW | 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 |
| 2022 | WWW | From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. | Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen |
| 2022 | WWW | Ontology-enhanced Prompt-tuning for Few-shot Learning. | Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen |
| 2022 | SIGIR | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. | Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen |
| 2021 | AAAI | Contrastive Triple Extraction with Generative Transformer. | Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2021 | ACL | OntoED: Low-resource Event Detection with Ontology Embedding. | Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen |
| 2021 | ACL | MLBiNet: A Cross-Sentence Collective Event Detection Network. | Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen |
| 2021 | IJCAI | Document-level Relation Extraction as Semantic Segmentation. | Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen |
| 2021 | IJCAI | Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining. | Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen |
| 2021 | KDD | AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. | Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen |
| 2020 | AAAI | When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract). | Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen |
| 2020 | COLING | Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. | Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen |
| 2020 | EMNLP | OpenUE: An Open Toolkit of Universal Extraction from Text. | Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen |
| 2020 | EMNLP | Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. | Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen |
| 2020 | ISPA | Joint Extraction of Triple Knowledge Based on Relation Priority. | Chuanzhi Zhuang, Ningyu Zhang, Xiaolong Jin, Zhong Li, Shumin Deng, Huajun Chen |
| 2020 | WWW | Relation Adversarial Network for Low Resource Knowledge Graph Completion. | Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen |
| 2020 | WSDM | Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. | Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen |
| 2019 | NAACL | Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. | Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen |
| 2019 | WWW | Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network. | Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen |
| 2018 | EMNLP | Attention-Based Capsule Network with Dynamic Routing for Relation Extraction. | Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang, Huajun Chen |