Liu, Fuxiao

8 publications

ICLR 2026 Vision-SR1: Self-Rewarding Vision-Language Model via Reasoning Decomposition and Multi-Reward Policy Optimization Zongxia Li, Wenhao Yu, Chengsong Huang, Zhenwen Liang, Rui Liu, Fuxiao Liu, Jingxi Chen, Dian Yu, Jordan Lee Boyd-Graber, Haitao Mi, Dong Yu

CVPRW 2025 A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi

ICLRW 2025 AIDE: Agentically Improve Visual Language Model with Domain Experts Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Yacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu

NeurIPS 2025 ColorBench: Can VLMs See and Understand the Colorful World? a Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Adu Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou

ICLR 2025 Eagle: Exploring the Design Space for Multimodal LLMs with Mixture of Encoders Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu

CVPR 2024 HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

ICLR 2024 Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang

NeurIPSW 2024 Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps Fuxiao Liu