Zekun Li

According to our database, Zekun Li authored at least 30 papers between 2022 and 2025.

Collaborative distances:

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

2025

T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search.

Xing Cui, Yueying Zou, Zekun Li, Pei-Pei Li, Xinyuan Xu, Xuannan Liu, Huaibo Huang, Ran He

CoRR, May, 2025

Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs.

Xuannan Liu, Zekun Li, Zheqi He, Pei-Pei Li, Shuhan Xia, Xing Cui, Huaibo Huang, Xi Yang, Ran He

CoRR, May, 2025

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory.

Yexiang Liu, Zekun Li, Zhi Fang, Nan Xu, Ran He, Tieniu Tan

CoRR, May, 2025

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG.

Woosang Lim, Zekun Li, Gyuwan Kim, Sungyoung Ji, HyeonJung Kim, Kyuri Choi, Jin Hyuk Lim, Kyungpyo Park, William Yang Wang

CoRR, May, 2025

AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence.

Zekun Li, Shinda Huang, Jiangtian Wang, Nathan Zhang, Antonis Antoniades, Wenyue Hua, Kaijie Zhu, Sirui Zeng, William Yang Wang, Xifeng Yan

CoRR, March, 2025

ID-Cloak: Crafting Identity-Specific Cloaks Against Personalized Text-to-Image Generation.

Qianrui Teng, Xing Cui, Xuannan Liu, Peipei Li, Zekun Li, Huaibo Huang, Ran He

CoRR, February, 2025

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM.

Yueying Zou, Peipei Li, Zekun Li, Huaibo Huang, Xing Cui, Xuannan Liu, Chenghanyu Zhang, Ran He

CoRR, February, 2025

MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs.

Xuannan Liu, Zekun Li, Pei-Pei Li, Huaibo Huang, Shuhan Xia, Xing Cui, Linzhi Huang, Weihong Deng, Zhaofeng He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate.

Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Eye Movements as Images: A Multimodal Framework for Eye Movements Representation.

Dongsen Zhang, Peipei Li, Zekun Li, Yiwei Ru, Huijia Wu, Zhaofeng He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey.

Xuannan Liu, Xing Cui, Peipei Li, Zekun Li, Huaibo Huang, Shuhan Xia, Miaoxuan Zhang, Yueying Zou, Ran He

CoRR, 2024

Can Editing LLMs Inject Harm?

Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

CoRR, 2024

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension.

Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang

CoRR, 2024

FakeNewsGPT4: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs.

Xuannan Liu, Peipei Li, Huaibo Huang, Zekun Li, Xing Cui, Jiahao Liang, Lixiong Qin, Weihong Deng, Zhaofeng He

CoRR, 2024

Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner.

Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs.

Xuannan Liu, Peipei Li, Huaibo Huang, Zekun Li, Xing Cui, Jiahao Liang, Lixiong Qin, Weihong Deng, Zhaofeng He

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection.

Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

INSTASTYLE: Inversion Noise of a Stylized Image is Secretly a Style Adviser.

Xing Cui, Zekun Li, Peipei Li, Huaibo Huang, Xuannan Liu, Zhaofeng He

Proceedings of the Computer Vision - ECCV 2024, 2024

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling.

Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook

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

2023

InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser.

Xing Cui, Zekun Li, Pei-Pei Li, Huaibo Huang, Zhaofeng He

CoRR, 2023

AlpaCare: Instruction-tuned Large Language Models for Medical Application.

Xinlu Zhang, Chenxin Tian, Xianjun Yang, Lichang Chen, Zekun Li, Linda Ruth Petzold

CoRR, 2023

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.

Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi

CoRR, 2023

Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models.

Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan

CoRR, 2023

I2Edit: Towards Multi-turn Interactive Image Editing via Dialogue.

Xing Cui, Zekun Li, Peipei Li, Yibo Hu, Hailin Shi, Zhaofeng He

CoRR, 2023

Guiding Large Language Models via Directional Stimulus Prompting.

Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Time Series as Images: Vision Transformer for Irregularly Sampled Time Series.

Zekun Li, Shiyang Li, Xifeng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ChatEdit: Towards Multi-turn Interactive Facial Image Editing via Dialogue.

Xing Cui, Zekun Li, Pei Li, Yibo Hu, Hailin Shi, Chunshui Cao, Zhaofeng He

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

Limitations of Language Models in Arithmetic and Symbolic Induction.

Jing Qian, Hong Wang, Zekun Li, Shiyang Li, Xifeng Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Explanations from Large Language Models Make Small Reasoners Better.

Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan

CoRR, 2022

Controllable Dialogue Simulation with In-context Learning.

Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan

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