Nguyen, Thao

22 publications

CVPR 2025 All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kukreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Minkov Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Gian Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Hafizi Amirudin, Muhammad Ridzuan, Daniya Najiha Abdul Kareem, Ketan Pravin More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan Obando-Ceron, Olympiah Otieno, Febian Farestam, Muztoba Rabbani, Sanoojan Ballah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Augusto Zacarias Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Shahbaz Khan
NeurIPS 2025 Variational Supervised Contrastive Learning Ziwen Wang, Jiajun Fan, Thao Nguyen, Heng Ji, Ge Liu
ICCV 2025 X-Fusion: Introducing New Modality to Frozen Large Language Models Sicheng Mo, Thao Nguyen, Xun Huang, Siddharth Srinivasan Iyer, Yijun Li, Yuchen Liu, Abhishek Tandon, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
CVPR 2025 Yo'Chameleon: Personalized Vision and Language Generation Thao Nguyen, Krishna Kumar Singh, Jing Shi, Trung Bui, Yong Jae Lee, Yuheng Li
NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
CVPR 2024 Edit One for All: Interactive Batch Image Editing Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
NeurIPS 2024 Multilingual Diversity Improves Vision-Language Representations Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei Koh, Ranjay Krishna
NeurIPS 2024 Yo'LLaVA: Your Personalized Language and Vision Assistant Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
ICLRW 2023 Classifier-Free Guidance Makes Image Captioning Models More Descriptive Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen
NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
ICCV 2023 Guiding Image Captioning Models Toward More Specific Captions Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen
NeurIPS 2023 Improving Multimodal Datasets with Image Captioning Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt
NeurIPS 2023 On the Connection Between Pre-Training Data Diversity and Fine-Tuning Robustness Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt
NeurIPS 2023 Visual Instruction Inversion: Image Editing via Image Prompting Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
ICMLW 2022 On the Connection Between Pre-Training Data Diversity and Robustness Vivek Ramanujan, Thao Nguyen, Ludwig Schmidt, Ali Farhadi
TMLR 2022 On the Origins of the Block Structure Phenomenon in Neural Network Representations Thao Nguyen, Maithra Raghu, Simon Kornblith
NeurIPS 2022 Quality Not Quantity: On the Interaction Between Dataset Design and Robustness of CLIP Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt
AISTATS 2021 Robust and Private Learning of Halfspaces Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Thao Nguyen
NeurIPSW 2021 Avoiding Spurious Correlations: Bridging Theory and Practice Thao Nguyen, Vaishnavh Nagarajan, Hanie Sedghi, Behnam Neyshabur
ICLR 2021 Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen, Maithra Raghu, Simon Kornblith
CVPR 2021 Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer Thao Nguyen, Anh Tuan Tran, Minh Hoai
ICML 2020 Concept Bottleneck Models Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang