Sanh, Victor

8 publications

NeurIPSW 2024 Building and Better Understanding Vision-Language Models: Insights and Future Directions Hugo Laurençon, Andrés Marafioti, Victor Sanh, Leo Tronchon

TMLR 2024 The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini

NeurIPS 2024 What Matters When Building Vision-Language Models? Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh

NeurIPS 2023 OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Hugo Laurençon, Lucile Saulnier, Leo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander Rush, Douwe Kiela, Matthieu Cord, Victor Sanh

ICLR 2022 Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M Rush

ICLR 2021 Learning from Others' Mistakes: Avoiding Dataset Biases Without Modeling Them Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M Rush

NeurIPS 2020 Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh, Thomas Wolf, Alexander Rush

AAAI 2019 A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks Victor Sanh, Thomas Wolf, Sebastian Ruder