Victor Sanh
Victor Sanh
Hugging Face
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Cited by
Transformers: State-of-the-art natural language processing
T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ...
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
V Sanh, L Debut, J Chaumond, T Wolf
arXiv preprint arXiv:1910.01108, 2019
Multitask Prompted Training Enables Zero-Shot Task Generalization
V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ...
arXiv preprint arXiv:2110.08207, 2021
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
arXiv preprint arXiv:2211.05100, 2022
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
T Wolf, V Sanh, J Chaumond, C Delangue
arXiv preprint arXiv:1901.08149, 2019
Datasets: A Community Library for Natural Language Processing
Q Lhoest, AV del Moral, Y Jernite, A Thakur, P von Platen, S Patil, ...
arXiv preprint arXiv:2109.02846, 2021
Movement pruning: Adaptive sparsity by fine-tuning
V Sanh, T Wolf, A Rush
Advances in Neural Information Processing Systems 33, 20378-20389, 2020
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ...
arXiv preprint arXiv:2202.01279, 2022
A hierarchical multi-task approach for learning embeddings from semantic tasks
V Sanh, T Wolf, S Ruder
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6949-6956, 2019
Block Pruning For Faster Transformers
F Lagunas, E Charlaix, V Sanh, AM Rush
arXiv preprint arXiv:2109.04838, 2021
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
H Strobelt, A Webson, V Sanh, B Hoover, J Beyer, H Pfister, AM Rush
IEEE transactions on visualization and computer graphics, 2022
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
H Laurençon, L Saulnier, L Tronchon, S Bekman, A Singh, A Lozhkov, ...
arXiv preprint arXiv:2306.16527, 2023
Edgebert: Sentence-level energy optimizations for latency-aware multi-task nlp inference
T Tambe, C Hooper, L Pentecost, T Jia, EY Yang, M Donato, V Sanh, ...
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
Learning from others' mistakes: Avoiding dataset biases without modeling them
V Sanh, T Wolf, Y Belinkov, AM Rush
arXiv preprint arXiv:2012.01300, 2020
What Language Model to Train if You Have One Million GPU Hours?
T Le Scao, T Wang, D Hesslow, L Saulnier, S Bekman, MS Bari, ...
Challenges {\&, 2022
Low-Complexity Probing via Finding Subnetworks
S Cao, V Sanh, AM Rush
arXiv preprint arXiv:2104.03514, 2021
What matters when building vision-language models?
H Laurençon, L Tronchon, M Cord, V Sanh
arXiv preprint arXiv:2405.02246, 2024
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
PA Utama, NS Moosavi, V Sanh, I Gurevych
arXiv preprint arXiv:2109.04144, 2021
Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
H Laurençon, L Tronchon, V Sanh
arXiv preprint arXiv:2403.09029, 2024
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