Fuxiao Liu

Fuxiao Liu (刘赋骁)

Hi! I'm a 3rd-year CS Ph.D at University of Maryland, College Park, working with Abhinav Shrivastava and Yaser Yacoob.

I have broad interests in vision and language tasks, including image/video captioning, multimodal semantic alignment, fact-checking, document understanding. My recent focus is on building customizable large models that follow humans' intent.
Google Scholar/ LinkedIn/Github/Twitter/Instagram

🔥🔥🔥 I am on the job market and looking for a US-based Research/Applied Scientist position starting from Summer 2025. Feel free to contact me if you have any openings!

Experience

[Spring 2024] Nvidia ADLR, with Guilin Liu and Zhiding Yu on building Large Multimodal Models:[Arxiv'24]
[Summer 2023] Tencent AI, with Xiaoyang Wang, Jianshu Chen, Kaiqiang Song, Wenlin Yao on Visual Chart Understanding: [NAACL'24].
[Spring 2023] Microsoft Research, with Linjie Li, Kevin Lin, Jianfeng Wang on Robust Visual instruction tunning: [ICLR'24],[CVPR'24].
[Summer 2022] Adobe Research, with Chris Tensmeyer, Hao Tan and Ani Nenkova on Visual document Understanding: [ICPRAI'24].
[Spring 2022] UMIACS, with Abhinav Shrivastava on Fact Checking on Short Video: [EACL'23].
[Spring 2021] UVa Vislang Lab, with Vicente Ordonez on News Image Captioning: [EMNLP'21].

First-Author Publications

New! EAGLE: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Fuxiao Liu*, Min Shi*, 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*

Arxiv 2024 [paper] [code] [bibtex]

New! 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 [paper] [code] [bibtex]

New! 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*, Xiyang Wu, Ruiqi Xian, Xijun Wang, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

CVPR 2024 [paper] [code] [bibtex]

New! 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

NAACL 2024 [paper] [code] [bibtex]

DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents

Fuxiao Liu*, Hao Tan, Chris Tensmeyer

ICPRAI 2023 [paper] [code] [bibtex]

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

Fuxiao Liu*, Yaser Yacoob, Abhinav Shrivastava

EACL 2023 (~Oral presentation) [paper] [code] [bibtex]

Visual News: Benchmark and Challenges in News Image Captioning

Fuxiao Liu*, Yinghan Wang, Tianlu Wang, Vicente Ordonez

EMNLP 2021 (~Oral presentation) [paper] [code] [bibtex]

Other Publications

[LREC-COLING 2024] From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond.

Fao Fei, Yuan Yao, Zhuosheng Zhang, Fuxiao Liu*, Ao Zhang, Tat-seng Chua

[ACL 2024] Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Fuxiao Liu*, Mohit Bansal, Furong Huang

[VLADR 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 Sadler, Dinesh Manocha, Amrit Singh Bedi

[IROS 2024] SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition.

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

[ICMLA 2024] DeepFM-CRISPR: Enhancing CRISPR On-Target Prediction with Deep Learning.

Condy Bao, Fuxiao Liu*

[Arxiv 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

[Arxiv 2024] Large language models and causal inference in collaboration: A comprehensive survey.

Xiaoyu Liu, Paiheng Xu, Junda Wu, Yuhang Zhou Fuxiao Liu*, Tianrui Guan, Haoliang Wang, Tong Yu, Julian McAuley, Wei Ai, Furong Huang

[Arxiv 2023] Towards understanding in-context learning with contrastive demonstrations and saliency maps.

Fuxiao Liu*, Paiheng Xu, Zongxia Li

Service

Conference Reviewer: AISTATS,CVPR,NAACL,ACL,IJCAI,ACMMM
Journal Reviewer: JMIR

More About Myself

I'm crazy about basketball since I was a little boy. I love it for its ultimate technical and mentality requirements. No one in the world can become a master without great talent and extensive training. My favorite basketball player is Kobe Bryant, who is noted for his rapid playing style, strong will, and his ambivalent relationship with the sport. I am always immersed in his phenomenal performance in the game.