Sanh, Victor

Transformers: State-of-the-Art Natural Language Processing

Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., et al. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Topic ModelingNatural Language Processing Techniques

Cited by 8,741

HuggingFace's Transformers: State-of-the-art Natural Language Processing

Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., et al. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3,347

Multitask Prompted Training Enables Zero-Shot Task Generalization

Sanh, V., Webson, A., Raffel, C., Bach, S. H., Sutawika, L., Alyafeai, Z., Chaffin, A., Stiegler, A., Scao, T. L., Raja, A., et al. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 612

Datasets: A Community Library for Natural Language Processing

Lhoest, Q., Villanova del Moral, A., Jernite, Y., Thakur, A., von Platen, P., Patil, S., Chaumond, J., Drame, M., Plu, J., Tunstall, L., et al. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesTopic Modeling

Cited by 343

Movement pruning: Adaptive sparsity by fine-tuning

Sanh, V., Wolf, T., & Rush, A. M. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 218

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

Strobelt, H., Webson, A., Sanh, V., Hoover, B., Beyer, J., Pfister, H., & Rush, A. M. (2022) · arXiv

Topic ModelingData Visualization and Analytics

Cited by 204

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation With Large Language Models

Strobelt, H., Webson, A., Sanh, V., Hoover, B., Beyer, J., Pfister, H., & Rush, A. M. (2022) · IEEE Transactions on Visualization and Computer Graphics

Topic ModelingData Visualization and Analytics

Cited by 204

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Bach, S., Sanh, V., Yong, Z. X., Webson, A., Raffel, C., Nayak, N. V., Sharma, A., Kim, T., Bari, M. S., Fevry, T., et al. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Natural Language Processing TechniquesTopic Modeling

Cited by 178

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Laurençon, H., Saulnier, L., Tronchon, L., Bekman, S., Singh, A., Lozhkov, A., Wang, T., Karamcheti, S., Rush, A. M., Kiela, D., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques

Cited by 72

What matters when building vision-language models?

Laurençon, H., Tronchon, L., Cord, M., & Sanh, V. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 66

What Language Model to Train if You Have One Million GPU Hours?

Le Scao, T., Wang, T., Hesslow, D., Bekman, S., Bari, M. S., Biderman, S., Elsahar, H., Muennighoff, N., Phang, J., Press, O., et al. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingNatural Language Processing Techniques

Cited by 33

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Bach, S. H., Sanh, V., Yong, Z.-X., Webson, A., Raffel, C., Nayak, N. V., Sharma, A., Kim, T., Bari, M. S., Fevry, T., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 21

What Language Model to Train if You Have One Million GPU Hours?

Scao, T. L., Wang, T., Hesslow, D., Saulnier, L., Bekman, S., Bari, M. S., Biderman, S., Elsahar, H., Muennighoff, N., Phang, J., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Laurençon, H., Tronchon, L., & Sanh, V. (2024) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 2