Thao Nguyen
20 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
👥
Mega-Team
(69)
🔥
Unstoppable
(7)
⚡
Prolific Year
(5)
💎
Century Club
(20)
❓
The Questioner
🗃️
Keyword Collector
(101)
Conferences
NIPS (8)
CVPR (4)
ICCV (2)
RSS (2)
AISTATS (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
multimodal learning
(5)
distribution shift
(3)
large multimodal model
(3)
data filtering
(3)
image captioning
(3)
large language model
(2)
contrastive learning
(2)
image-text pair
(2)
cultural diversity
(2)
vision-language model
(2)
domain generalization
(2)
data diversity
(2)
image generation
(2)
image translation
(2)
data curation
(2)
personalized generation
(1)
visual question answering
(1)
few-shot learning
(1)
style transfer
(1)
hierarchical planning
(1)
Papers
X-Fusion: Introducing New Modality to Frozen Large Language Models
ICCV 2025
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
CVPR 2025
Yo'Chameleon: Personalized Vision and Language Generation
CVPR 2025
Yo'LLaVA: Your Personalized Language and Vision Assistant
NIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Better Alignment with Instruction Back-and-Forth Translation
EMNLP 2024
Multilingual Diversity Improves Vision-Language Representations
NIPS 2024
Edit One for All: Interactive Batch Image Editing
CVPR 2024
DataComp: In search of the next generation of multimodal datasets
NIPS 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
NIPS 2023
Guiding Image Captioning Models Toward More Specific Captions
ICCV 2023
Visual Instruction Inversion: Image Editing via Image Prompting
NIPS 2023
Improving multimodal datasets with image captioning
NIPS 2023
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
NIPS 2022
Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer
CVPR 2021
Robust and Private Learning of Halfspaces
AISTATS 2021
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
ICLR 2021
Concept Bottleneck Models
ICML 2020
Robot Object Retrieval with Contextual Natural Language Queries
RSS 2020
Planning with State Abstractions for Non-Markovian Task Specifications
RSS 2019