Alyafeai, Zaid
King Fahd University of Petroleum and Minerals
8 papers on CoChatORCID 0009-0003-1774-5236
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
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
- Verified
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Laurençon, H., Saulnier, L., Wang, T., Akiki, C., del Moral, A. V., Scao, T. L., Von Werra, L., Mou, C., Ponferrada, E. G., Nguyen, H., et al. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 93
- 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
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
- Verified
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs
Alyafeai, Z., Al-shaibani, M. S., & Ghanem, B. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025
Topic ModelingAdvanced Text Analysis Techniques
Cited by 8
- Verified
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic
Koto, F., Li, H., Shatnawi, S., Doughman, J., Sadallah, A. B., Alraeesi, A., Almubarak, K., Alyafeai, Z., Sengupta, N., Shehata, S., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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