Nan Xu - RankMe

25 papers A* 4Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models. CoRR Jiyoon Pyo, Yuankun Jiao, Dongwon Jung, Zekun Li, Leeje Jang, Sofia Kirsanova, Jina Kim, Yijun Lin, Qin Liu, Junyi Xie, Hadi Askari, Nan Xu, Muhao Chen, Yao-Yi Chiang
2025	—	`conf`	From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. NAACL (Long Papers) Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. CoRR Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	A*	`conf`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. ICLR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas. CoRR James Y. Huang, Wenxuan Zhou, Nan Xu, Fei Wang, Qin Liu, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	—	`conf`	Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory. ACL (1) Yexiang Liu, Zekun Li, Zhi Fang, Nan Xu, Ran He, Tieniu Tan
2025	J	`jnl`	Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory. CoRR Yexiang Liu, Zekun Li, Zhi Fang, Nan Xu, Ran He, Tieniu Tan
2025	J	`jnl`	Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection. CoRR Bangzheng Li, Fei Wang, Wenxuan Zhou, Nan Xu, Ben Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	A*	`conf`	AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. ICLR Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
2024	—	`conf`	Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. NAACL-HLT (Findings) Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen
2024	J	`jnl`	From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. CoRR Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	—	`conf`	Monotonic Paraphrasing Improves Generalization of Language Model Prompting. EMNLP (Findings) Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen
2024	J	`jnl`	Monotonic Paraphrasing Improves Generalization of Language Model Prompting. CoRR Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen
2024	J	`jnl`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	A*	`conf`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	J	`jnl`	AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. CoRR Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
2023	J	`jnl`	Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. CoRR Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen
2023	—	`conf`	Dense Retrieval as Indirect Supervision for Large-space Decision Making. EMNLP (Findings) Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen
2023	J	`jnl`	Dense Retrieval as Indirect Supervision for Large-space Decision Making. CoRR Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen
2023	J	`jnl`	Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. CoRR Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan
2023	—	`conf`	Uncertainty-Guided Test-Time Training for Face Forgery Detection. ACPR (2) Shenyuan Huang, Huaibo Huang, Zi Wang, Nan Xu, Aihua Zheng, Ran He
2022	A*	`conf`	Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. EMNLP Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen
2022	J	`jnl`	Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. CoRR Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen
2017	J	`jnl`	Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering. CoRR Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Ran He