Nan Xu

According to our database, Nan Xu authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models.

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

CoRR, December, 2025

OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas.

James Y. Huang, Wenxuan Zhou, Nan Xu, Fei Wang, Qin Liu, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, November, 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

MetaScale: Test-Time Scaling with Evolving Meta-Thoughts.

Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, March, 2025

Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection.

Bangzheng Li, Fei Wang, Wenxuan Zhou, Nan Xu, Ben Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, March, 2025

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning.

Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

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

2024

Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking.

Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen

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

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen

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

Monotonic Paraphrasing Improves Generalization of Language Model Prompting.

Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen

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

2023

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts.

Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan

CoRR, 2023

Dense Retrieval as Indirect Supervision for Large-space Decision Making.

Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncertainty-Guided Test-Time Training for Face Forgery Detection.

Shenyuan Huang, Huaibo Huang, Zi Wang, Nan Xu, Aihua Zheng, Ran He

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing.

Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2017

Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering.

Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Ran He

CoRR, 2017