Fuxiao Liu - RankMe

33 papers A* 4A 3Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data. CoRR Zongxia Li, Hongyang Du, Chengsong Huang, Xiyang Wu, Lantao Yu, Yicheng He, Jing Xie, Xiaomin Wu, Zhichao Liu, Jiarui Zhang, Fuxiao Liu
2026	J	`jnl`	Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline. CoRR Guo Chen, Lidong Lu, Yicheng Liu, Liangrui Dong, Lidong Zou, Jixin Lv, Zhenquan Li, Xinyi Mao, Baoqi Pei, Shihao Wang, Zhiqi Li, Karan Sapra, Fuxiao Liu, Yin-Dong Zheng, Yifei Huang, Limin Wang, Zhiding Yu, Andrew Tao, Guilin Liu, Tong Lu
2025	—	`conf`	A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. CVPR Workshops Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi
2025	J	`jnl`	AIDE: Agentically Improve Visual Language Model with Domain Experts. CoRR Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Jacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu
2025	J	`jnl`	ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness. CoRR Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou
2025	A*	`conf`	Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. ICLR 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
2025	J	`jnl`	First Frame Is the Place to Go for Video Content Customization. CoRR Jingxi Chen, Zongxia Li, Zhichao Liu, Guangyao Shi, Xiyang Wu, Fuxiao Liu, Cornelia Fermüller, Brandon Y. Feng, Yiannis Aloimonos
2025	—	`conf`	Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. NAACL (Findings) Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
2025	—	`conf`	Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. ACL (Findings) Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2025	A	`conf`	On the Vulnerability of LLM/VLM-Controlled Robotics. IROS Xiyang Wu, Souradip Chakraborty, Ruiqi Xian, Jing Liang, Tianrui Guan, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi
2025	J	`jnl`	Self-Rewarding Vision-Language Model via Reasoning Decomposition. CoRR Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu
2024	J	`jnl`	DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. CoRR Xijun Wang, Pedro Sandoval Segura, Chengyuan Zhang, Junyun Huang, Tianrui Guan, Ruiqi Xian, Fuxiao Liu, Rohan Chandra, Boqing Gong, Dinesh Manocha
2024	J	`jnl`	DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning. CoRR Condy Bao, Fuxiao Liu
2024	J	`jnl`	Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. CoRR Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu
2024	A*	`conf`	From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond. ACM Multimedia Hao Fei, Xiangtai Li, Haotian Liu, Fuxiao Liu, Zhuosheng Zhang, Hanwang Zhang, Shuicheng Yan
2024	A*	`conf`	Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. CVPR Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2024	J	`jnl`	Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
2024	—	`conf`	MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. NAACL-HLT Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2024	—	`conf`	Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
2024	A*	`conf`	Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. ICLR Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang
2024	J	`jnl`	Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. CoRR Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2024	J	`jnl`	On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. CoRR Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi
2024	A	`conf`	SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition. IROS Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha
2023	J	`jnl`	Aligning Large Multi-Modal Model with Robust Instruction Tuning. CoRR Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang
2023	A	`conf`	COVID-VTS: Fact Extraction and Verification on Short Video Platforms. EACL Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
2023	J	`jnl`	COVID-VTS: Fact Extraction and Verification on Short Video Platforms. CoRR Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
2023	J	`jnl`	DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents. CoRR Fuxiao Liu, Hao Tan, Chris Tensmeyer
2023	J	`jnl`	Driving Policy Prediction based on Deep Learning Models. CoRR Fuxiao Liu
2023	J	`jnl`	HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models. CoRR Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2023	J	`jnl`	MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. CoRR Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2023	J	`jnl`	Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps. CoRR Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song
2021	—	`conf`	Visual News: Benchmark and Challenges in News Image Captioning. EMNLP (1) Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
2020	J	`jnl`	VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. CoRR Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez