Shuo Chen - RankMe

22 papers A* 3A 1Misc 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. EACL (Findings) Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp
2025	J	`jnl`	Bag of Tricks for Subverting Reasoning-based Safety Guardrails. CoRR Shuo Chen, Zhen Han, Haokun Chen, Bailan He, Shengyun Si, Jingpei Wu, Philip Torr, Volker Tresp, Jindong Gu
2025	A	`conf`	Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu
2025	A*	`conf`	Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP Fengyuan Liu, Rui Zhao, Shuo Chen, Guohao Li, Philip Torr, Lei Han, Jindong Gu
2025	J	`jnl`	Can an Individual Manipulate the Collective Decisions of Multi-Agents? CoRR Fengyuan Liu, Rui Zhao, Shuo Chen, Guohao Li, Philip Torr, Lei Han, Jindong Gu
2025	J	`jnl`	Deep Research Brings Deeper Harm. CoRR Shuo Chen, Zonggen Li, Zhen Han, Bailan He, Tong Liu, Haokun Chen, Georg Groh, Philip Torr, Volker Tresp, Jindong Gu
2025	A*	`conf`	METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. EMNLP Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma
2025	J	`jnl`	METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. CoRR Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma
2025	—	`conf`	Multimodal Pragmatic Jailbreak on Text-to-image Models. ACL (1) Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu
2025	J	`jnl`	Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. CoRR Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp
2025	J	`jnl`	Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks
2025	J	`jnl`	True Multimodal In-Context Learning Needs Attention to the Visual Context. CoRR Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2024	J	`jnl`	PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. CoRR Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp
2024	J	`jnl`	Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu
2024	J	`jnl`	Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu
2024	—	`conf`	Visual Question Decomposition on Multimodal Large Language Models. EMNLP (Findings) Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
2024	J	`jnl`	Visual Question Decomposition on Multimodal Large Language Models. CoRR Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
2023	J	`jnl`	A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr
2023	A*	`conf`	Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. NeurIPS Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
2023	J	`jnl`	Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. CoRR Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
2023	Misc	`conf`	ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp
2023	J	`jnl`	Understanding and Improving In-Context Learning on Vision-language Models. CoRR Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu