Deng, Shumin

20 publications

ICML 2025 FlipAttack: Jailbreak LLMs via Flipping Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi

ICLRW 2025 FlipAttack: Jailbreak LLMs via Flipping Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi

ICLR 2025 MLLM Can See? Dynamic Correction Decoding for Hallucination Mitigation Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen

ICLRW 2025 Mllm Can See? Dynamic Correction Decoding for Hallucination Mitigation Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen

NeurIPS 2024 Agent Planning with World Knowledge Model Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLRW 2024 Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng

NeurIPS 2024 Knowledge Circuits in Pretrained Transformers Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen

AAAI 2024 When Do Program-of-Thought Works for Reasoning? Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen

ICCV 2023 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

ICLR 2023 Multimodal Analogical Reasoning over Knowledge Graphs Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen

NeurIPS 2022 Decoupling Knowledge from Memorization: Retrieval-Augmented Prompt Learning Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

ICLR 2022 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

ICLRW 2022 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

AAAI 2022 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

AAAI 2022 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

ICLR 2022 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

AAAI 2021 Contrastive Triple Extraction with Generative Transformer Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

IJCAI 2021 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

IJCAI 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen

AAAI 2020 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