VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. - Fuxiao Liu; Yinghan Wang; Tianlu Wang; Vicente Ordonez (CoRR, 2020)

Visual News: Benchmark and Challenges in News Image Captioning. - Fuxiao Liu; Yinghan Wang; Tianlu Wang; Vicente Ordonez (EMNLP (1), 2021)

COVID-VTS: Fact Extraction and Verification on Short Video Platforms. - Fuxiao Liu; Yaser Yacoob; Abhinav Shrivastava (EACL, 2023)

DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents. - Fuxiao Liu; Hao Tan; Chris Tensmeyer (CoRR, 2023)

Aligning Large Multi-Modal Model with Robust Instruction Tuning. - Fuxiao Liu; Kevin Lin; Linjie Li; Jianfeng Wang; Yaser Yacoob; Lijuan Wang (CoRR, 2023)

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps. - Zongxia Li; Paiheng Xu; Fuxiao Liu; Hyemi Song (CoRR, 2023)

Driving Policy Prediction based on Deep Learning Models. - Fuxiao Liu (CoRR, 2023)

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. - Fuxiao Liu; Tianrui Guan; Zongxia Li; Lichang Chen; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CoRR, 2023)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Fuxiao Liu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; et al. (ACL (1), 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 003; Xijun Wang 002; Lichang Chen; Furong Huang; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CVPR, 2024)

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

SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition. - Xijun Wang 002; Ruiqi Xian; Tianrui Guan; Fuxiao Liu; Dinesh Manocha (IROS, 2024)

From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond. - Hao Fei 001; Xiangtai Li; Haotian Liu; Fuxiao Liu; Zhuosheng Zhang 001; Hanwang Zhang; Shuicheng Yan (ACM Multimedia, 2024)

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. - Fuxiao Liu; Xiaoyang Wang; Wenlin Yao; Jianshu Chen; Kaiqiang Song; Sangwoo Cho; Yaser Yacoob; Dong Yu 001 (NAACL-HLT, 2024)

On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. - Xiyang Wu; Ruiqi Xian; Tianrui Guan; Jing Liang 006; Souradip Chakraborty; Fuxiao Liu; Brian M. Sadler; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2024)

Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. - Ming Li; Pei Chen; Chenguang Wang; Hongyu Zhao; Yijun Liang; Yupeng Hou; Fuxiao Liu; Tianyi Zhou 001 (CoRR, 2024)

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. - 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; et al. (CoRR, 2024)

DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning. - Condy Bao; Fuxiao Liu (CoRR, 2024)

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. - Xijun Wang 002; Pedro Sandoval Segura; Chengyuan Zhang; Junyun Huang; Tianrui Guan; Ruiqi Xian; Fuxiao Liu; Rohan Chandra; Boqing Gong; Dinesh Manocha (CoRR, 2024)

Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. - Ming Li; Pei Chen; Chenguang Wang; Hongyu Zhao; Yijun Liang; Yupeng Hou; Fuxiao Liu; Tianyi Zhou 001 (ACL (Findings), 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 (CVPR Workshops, 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; et al. (ICLR, 2025)

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. - Xiaoyu Liu 003; Paiheng Xu; Junda Wu; Jiaxin Yuan; Yifan Yang 006; Yuhang Zhou; Fuxiao Liu; Tianrui Guan; Haoliang Wang; Tong Yu 001; Julian J. McAuley; Wei Ai 002; et al. (NAACL (Findings), 2025)

AIDE: Agentically Improve Visual Language Model with Domain Experts. - Ming-Chang Chiu; Fuxiao Liu; Karan Sapra; Andrew Tao; Yaser Jacoob; Xuezhe Ma; Zhiding Yu; Guilin Liu (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 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 Cobbina; Shweta Bhardwaj; Jiuhai Chen; Fuxiao Liu; Tianyi Zhou 001 (CoRR, 2025)