Bari, M Saiful
7 papers on CoChat
Most cited papers
- 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
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
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
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
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Alzahrani, N., Alyahya, H. A., Alnumay, Y., Alrashed, S., Alsubaie, S., Almushaykeh, Y., Mirza, F., Alotaibi, N., Altwairesh, N., Alowisheq, A., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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