Shuo Chen

According to our database, Shuo Chen authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules.

Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp

CoRR, August, 2025

True Multimodal In-Context Learning Needs Attention to the Visual Context.

Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu

CoRR, July, 2025

METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding.

Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma

CoRR, June, 2025

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.

Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks

CoRR, March, 2025

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?

Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Multimodal Pragmatic Jailbreak on Text-to-image Models.

Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu

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

2024

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model.

Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp

CoRR, 2024

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu

CoRR, 2024

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images.

Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu

CoRR, 2024

Visual Question Decomposition on Multimodal Large Language Models.

Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu

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

2023

Understanding and Improving In-Context Learning on Vision-language Models.

Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu

CoRR, 2023

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr

CoRR, 2023

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs.

Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp

Proceedings of the Semantic Web - ISWC 2023, 2023

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.

Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp

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