Fuxiao Liu

According to our database, Fuxiao Liu authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments.

Xijun Wang, Pedro Sandoval-Segura, Chengyuan Zhang, Junyun Huang, Tianrui Guan, Ruiqi Xian, Fuxiao Liu, Rohan Chandra, Boqing Gong, Dinesh Manocha

CoRR, 2024

DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning.

Condy Bao, Fuxiao Liu

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, Jan Kautz, Zhiding Yu, Guilin Liu

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

CoRR, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.

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

CoRR, 2024

On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities.

Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi

CoRR, 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond.

Hao Fei, Xiangtai Li, Haotian Liu, Fuxiao Liu, Zhuosheng Zhang, Hanwang Zhang, Shuicheng Yan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition.

Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

CoRR, 2023

Driving Policy Prediction based on Deep Learning Models.

Fuxiao Liu

CoRR, 2023

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.

Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song

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

DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents.

Fuxiao Liu, Hao Tan, Chris Tensmeyer

CoRR, 2023

COVID-VTS: Fact Extraction and Verification on Short Video Platforms.

Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Visual News: Benchmark and Challenges in News Image Captioning.

Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning.

Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez

CoRR, 2020