Sutawika, Lintang
8 papers on CoChat
Most cited papers
- Verified
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
- Verified
Crosslingual Generalization through Multitask Finetuning
Muennighoff, N., Wang, T., Sutawika, L., Roberts, A., Biderman, S., Le Scao, T., Bari, M. S., Shen, S., Yong, Z. X., Schoelkopf, H., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 361
- Verified
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
- Verified
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting
Yong, Z. X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 30
- Verified
Crosslingual Generalization through Multitask Finetuning
Muennighoff, N., Wang, T., Sutawika, L., Roberts, A., Biderman, S., Scao, T. L., Bari, M. S., Shen, S., Yong, Z.-X., Schoelkopf, H., et al. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 29
- Verified
Lessons from the Trenches on Reproducible Evaluation of Language Models
Biderman, S., Schoelkopf, H., Sutawika, L., Gao, L., Tow, J., Abbasi, B., Aji, A. F., Ammanamanchi, P. S., Black, S., Clive, J., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 9
- Verified
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
- Verified
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting
Yong, Z.-X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free