René's URL Explorer Experiment


Title: Fuxiao Liu

Description: Fuxiao Liu – Research Scientist at NVIDIA, PhD from UMD

Mail addresses
fuxiaol@nvidia.com

direct link

Domain: fuxiaoliu.github.io

Links:

Publicationshttps://fuxiaoliu.github.io#publications
More Papershttps://fuxiaoliu.github.io#other
Servicehttps://fuxiaoliu.github.io#service
NVIDIAhttps://www.nvidia.com/en-us/research/
📚 Google Scholarhttps://scholar.google.com/citations?user=NiNPTeYAAAAJ&hl=en&oi=ao
LinkedInhttps://www.linkedin.com/in/fuxiao-liu-11b85a185/
GitHubhttps://github.com/FuxiaoLiu
Twitterhttps://twitter.com/FuxiaoL
Instagramhttps://www.instagram.com/calvinlfx/
Projecthttps://research.nvidia.com/labs/adlr/
HuggingFacehttps://huggingface.co/nvidia
Projecthttps://research.nvidia.com/labs/adlr/
HuggingFacehttps://huggingface.co/nvidia
Paperhttps://arxiv.org/abs/2504.03624
Projecthttps://research.nvidia.com/labs/adlr/
HuggingFacehttps://huggingface.co/nvidia
Paperhttps://arxiv.org/pdf/2408.15998
Codehttps://github.com/NVlabs/Eagle
BibTeXhttps://github.com/FuxiaoLiu/fuxiaoliu.github.io/blob/main/citation/chart.txt
Paperhttps://arxiv.org/abs/2306.14565
Codehttps://github.com/FuxiaoLiu/LRV-Instruction
BibTeXhttps://github.com/FuxiaoLiu/fuxiaoliu.github.io/blob/main/citation/chart.txt
Paperhttps://arxiv.org/abs/2310.14566
Codehttps://github.com/tianyi-lab/HallusionBench
BibTeXhttps://github.com/FuxiaoLiu/fuxiaoliu.github.io/blob/main/citation/chart.txt
Paperhttps://arxiv.org/abs/2311.10774
Codehttps://github.com/FuxiaoLiu/MMC
BibTeXhttps://github.com/FuxiaoLiu/fuxiaoliu.github.io/blob/main/citation/chart.txt
Paperhttps://arxiv.org/abs/2306.06306
Codehttps://github.com/FuxiaoLiu/DocumentCLIP
BibTeXhttps://github.com/FuxiaoLiu/fuxiaoliu.github.io/blob/main/citation/chart.txt
Paperhttps://arxiv.org/abs/2302.07919
Codehttps://github.com/FuxiaoLiu/Twitter-Video-dataset
BibTeXhttps://github.com/FuxiaoLiu/fuxiaoliu.github.io/blob/main/citation/chart.txt
Paperhttps://arxiv.org/abs/2010.03743
Codehttps://github.com/FuxiaoLiu/VisualNews-Repository
BibTeXhttps://www.vislang.ai/static/files/visualnews.txt
Large language models and causal inference in collaboration: A comprehensive surveyhttps://arxiv.org/abs/2402.10340
Towards understanding in-context learning with contrastive demonstrations and saliency mapshttps://arxiv.org/abs/2402.10340
From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyondhttps://aclanthology.org/2024.lrec-tutorials.1/
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequenceshttps://arxiv.org/abs/2401.10529
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilitieshttps://arxiv.org/abs/2402.10340
SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognitionhttps://arxiv.org/abs/2402.10340
DeepFM-CRISPR: Enhancing CRISPR On-Target Prediction with Deep Learninghttps://arxiv.org/abs/2402.10340
Mosaic IT: Enhancing Instruction Tuning with Data Mosaicshttps://arxiv.org/abs/2402.10340
A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challengeshttps://openaccess.thecvf.com/content/CVPR2025W/TMM-OpenWorld/html/Li_A_Survey_of_State_of_the_Art_Large_Vision_Language_CVPRW_2025_paper.html

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