Victor Sanh

36 papers A* 7Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Building and better understanding vision-language models: insights and future directions.
CoRR
Hugo Laurençon, Andrés Marafioti, Victor Sanh, Léo Tronchon
2024 J jnl
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.
CoRR
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
2024 J jnl
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.
Trans. Mach. Learn. Res.
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
2024 J jnl
Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset.
CoRR
Hugo Laurençon, Léo Tronchon, Victor Sanh
2024 A* conf
What matters when building vision-language models?
NeurIPS
Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh
2024 J jnl
What matters when building vision-language models?
CoRR
Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh
2023 J jnl
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models.
IEEE Trans. Vis. Comput. Graph.
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2023 A* conf
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents.
NeurIPS
Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
2023 J jnl
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents.
CoRR
Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
2022 J jnl
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models.
CoRR
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2022 A* conf
Multitask Prompted Training Enables Zero-Shot Task Generalization.
ICLR
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. 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 V. 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 Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush
2022 — conf
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.
ACL (demo)
Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush
2022 J jnl
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.
CoRR
Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush
2022 — conf
What Language Model to Train if You Have One Million GPU Hours?
EMNLP (Findings)
Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy
2022 J jnl
What Language Model to Train if You Have One Million GPU Hours?
CoRR
Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy
2021 — conf
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.
EMNLP (1)
Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych
2021 J jnl
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.
CoRR
Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych
2021 — conf
Block Pruning For Faster Transformers.
EMNLP (1)
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
2021 J jnl
Block Pruning For Faster Transformers.
CoRR
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
2021 — conf
Datasets: A Community Library for Natural Language Processing.
EMNLP (Demos)
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
2021 J jnl
Datasets: A Community Library for Natural Language Processing.
CoRR
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
2021 A* conf
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.
MICRO
Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021 A* conf
Learning from others' mistakes: Avoiding dataset biases without modeling them.
ICLR
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
2021 — conf
Low-Complexity Probing via Finding Subnetworks.
NAACL-HLT
Victor Sanh, Alexander M. Rush
2021 J jnl
Low-Complexity Probing via Finding Subnetworks.
CoRR
Steven Cao, Victor Sanh, Alexander M. Rush
2021 J jnl
Multitask Prompted Training Enables Zero-Shot Task Generalization.
CoRR
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. 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 Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush
2020 J jnl
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.
CoRR
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020 J jnl
Learning from others' mistakes: Avoiding dataset biases without modeling them.
CoRR
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
2020 A* conf
Movement Pruning: Adaptive Sparsity by Fine-Tuning.
NeurIPS
Victor Sanh, Thomas Wolf, Alexander M. Rush
2020 J jnl
Movement Pruning: Adaptive Sparsity by Fine-Tuning.
CoRR
Victor Sanh, Thomas Wolf, Alexander M. Rush
2020 — conf
Transformers: State-of-the-Art Natural Language Processing.
EMNLP (Demos)
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, Alexander M. Rush
2019 A* conf
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks.
AAAI
Victor Sanh, Thomas Wolf, Sebastian Ruder
2019 J jnl
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.
CoRR
Victor Sanh, Lysandre Debut, Julien Chaumond, Thomas Wolf
2019 J jnl
HuggingFace's Transformers: State-of-the-art Natural Language Processing.
CoRR
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew
2019 J jnl
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents.
CoRR
Thomas Wolf, Victor Sanh, Julien Chaumond, Clement Delangue
2018 J jnl
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks.
CoRR
Victor Sanh, Thomas Wolf, Sebastian Ruder