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Fuxiao Liu
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2020 – today
- 2025
- [c10]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 - [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 - [i16]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) - [i15]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, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Bobby Chen, Boris Ginsburg, Boxin Wang, Brandon Norick, Brian Butterfield, Bryan Catanzaro, Carlo del Mundo, Chengyu Dong, Christine Harvey, Christopher Parisien, Dan Su, Daniel Korzekwa, Danny Yin, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Denys Fridman, Dima Rekesh, Ding Ma, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Dusan Stosic, Eileen Long, Elad Segal, Ellie Evans, Eric Chung, Erick Galinkin, Evelina Bakhturina, Ewa Dobrowolska, Fei Jia, Fuxiao Liu, Gargi Prasad, Gerald Shen, Guilin Liu, Guo Chen, Haifeng Qian, Helen Ngo, Hongbin Liu, Hui Li, Igor Gitman, Ilia Karmanov, Ivan Moshkov, Izik Golan, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jarno Seppänen, Jason Lu, Jason Sewall, Jiaqi Zeng, Jiaxuan You, Jimmy Zhang, Jing Zhang, Jining Huang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jon Barker, Jonathan M. Cohen, Joseph Jennings, Jupinder Parmar, Karan Sapra, Kari Briski, Kateryna Chumachenko, Katherine Luna, Keshav Santhanam, Kezhi Kong, Kirthi Sivamani, Krzysztof Pawelec, Kumar Anik, Kunlun Li, Lawrence McAfee, Leon Derczynski, Lindsey Pavao, Luis Vega, Lukas Voegtle, Maciej Bala, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Marcin Chochowski, Markus Kliegl:
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. CoRR abs/2504.03624 (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
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
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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