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2020 – today
- 2025
[c13]Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou:
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. ACL (Findings) 2025: 25287-25318- [c12]Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi:
A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. CVPR Workshops 2025: 1587-1606 - [c11]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:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. ICLR 2025 - [c10]Xiyang Wu, Souradip Chakraborty, Ruiqi Xian, Jing Liang, Tianrui Guan, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi:
On the Vulnerability of LLM/VLM-Controlled Robotics. IROS 2025: 1914-1921 - [c9]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:
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. NAACL (Findings) 2025: 7668-7684 - [i18]Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Jacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu:
AIDE: Agentically Improve Visual Language Model with Domain Experts. CoRR abs/2502.09051 (2025) - [i17]Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou
:
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness. CoRR abs/2504.10514 (2025) - [i16]Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu:
Self-Rewarding Vision-Language Model via Reasoning Decomposition. CoRR abs/2508.19652 (2025) - [i15]Jingxi Chen, Zongxia Li, Zhichao Liu, Guangyao Shi, Xiyang Wu, Fuxiao Liu, Cornelia Fermüller, Brandon Y. Feng, Yiannis Aloimonos:
First Frame Is the Place to Go for Video Content Customization. CoRR abs/2511.15700 (2025) - 2024
- [c8]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:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) 2024: 416-442 - [c7]Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou:
Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. CVPR 2024: 14375-14385 - [c6]Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang:
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. ICLR 2024 - [c5]Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha:
SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition. IROS 2024: 10967-10974 - [c4]Hao Fei, Xiangtai Li, Haotian Liu, Fuxiao Liu, Zhuosheng Zhang, Hanwang Zhang, Shuicheng Yan:
From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond. ACM Multimedia 2024: 11289-11291 - [c3]Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu:
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. NAACL-HLT 2024: 1287-1310 - [i14]Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi:
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. CoRR abs/2402.10340 (2024) - [i13]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:
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR abs/2403.09606 (2024) - [i12]Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou:
Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. CoRR abs/2405.13326 (2024) - [i11]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:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. CoRR abs/2408.15998 (2024) - [i10]Condy Bao, Fuxiao Liu:
DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning. CoRR abs/2409.05938 (2024) - [i9]Xijun Wang, Pedro Sandoval Segura, Chengyuan Zhang, Junyun Huang, Tianrui Guan, Ruiqi Xian, Fuxiao Liu, Rohan Chandra, Boqing Gong, Dinesh Manocha:
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. CoRR abs/2412.20042 (2024) - 2023
- [c2]Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava:
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. EACL 2023: 178-188 - [i8]Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava:
COVID-VTS: Fact Extraction and Verification on Short Video Platforms. CoRR abs/2302.07919 (2023) - [i7]Fuxiao Liu, Hao Tan, Chris Tensmeyer:
DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents. CoRR abs/2306.06306 (2023) - [i6]Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang:
Aligning Large Multi-Modal Model with Robust Instruction Tuning. CoRR abs/2306.14565 (2023) - [i5]Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song:
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps. CoRR abs/2307.05052 (2023) - [i4]Fuxiao Liu:
Driving Policy Prediction based on Deep Learning Models. CoRR abs/2307.11058 (2023) - [i3]Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou:
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 abs/2310.14566 (2023) - [i2]Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu:
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. CoRR abs/2311.10774 (2023) - 2021
- [c1]Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez:
Visual News: Benchmark and Challenges in News Image Captioning. EMNLP (1) 2021: 6761-6771 - 2020
- [i1]Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez:
VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. CoRR abs/2010.03743 (2020)
Coauthor Index
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