Lintang Sutawika
Lintang Sutawika
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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
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
Pythia: A suite for analyzing large language models across training and scaling
S Biderman, H Schoelkopf, QG Anthony, H Bradley, K O’Brien, E Hallahan, ...
International Conference on Machine Learning, 2397-2430, 2023
Crosslingual generalization through multitask finetuning
N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ...
arXiv preprint arXiv:2211.01786, 2022
What language model to train if you have one million gpu hours?
TL Scao, T Wang, D Hesslow, L Saulnier, S Bekman, MS Bari, ...
arXiv preprint arXiv:2210.15424, 2022
Emergent and predictable memorization in large language models
S Biderman, U PRASHANTH, L Sutawika, H Schoelkopf, Q Anthony, ...
Advances in Neural Information Processing Systems 36, 2024
A framework for few-shot language model evaluation, 12 2023
L Gao, J Tow, B Abbasi, S Biderman, S Black, A DiPofi, C Foster, ...
URL https://zenodo. org/records/10256836 7, 0
Bloom+ 1: Adding language support to bloom for zero-shot prompting
ZX Yong, H Schoelkopf, N Muennighoff, AF Aji, DI Adelani, K Almubarak, ...
arXiv preprint arXiv:2212.09535, 2022
Prompting multilingual large language models to generate code-mixed texts: The case of south east asian languages
ZX Yong, R Zhang, J Forde, S Wang, A Subramonian, H Lovenia, ...
Proceedings of the 6th Workshop on Computational Approaches to Linguistic …, 2023
An initial exploration of the suitability of long-short-term-memory networks for multiple site fatigue damage prediction on aircraft lap joints
MI Mas, MI Fanany, T Devin, LA Sutawika
2017 International Conference on Advanced Computer Science and Information …, 2017
Towards better structured and less noisy web data: Oscar with register annotations
V Laippala, A Salmela, S Rönnqvist, AF Aji, LH Chang, A Dhifallah, ...
Proceedings of the eighth workshop on noisy user-generated text (w-nut 2022 …, 2022
Restricted Boltzmann machines for unsupervised feature selection with partial least square feature extractor for microarray datasets
LA Sutawika, I Wasito
2017 International Conference on Advanced Computer Science and Information …, 2017
Samsung research philippines-datasaur ai’s submission for the wmt22 large scale multilingual translation task
JCB Cruz, L Sutawika
Proceedings of the Seventh Conference on Machine Translation (WMT), 1034-1038, 2022
Data Processing Matters: SRPH-Konvergen AI's Machine Translation System for WMT'21
L Sutawika, JCB Cruz
arXiv preprint arXiv:2111.10513, 2021
Constant-amplitude fatigue crack growth sequence regression on an aircraft lap joint using a 1-D convolutional network
MI Mas, MI Fanany, T Devin, LA Sutawika
2017 1st International Conference on Informatics and Computational Sciences …, 2017
Lessons from the Trenches on Reproducible Evaluation of Language Models
S Biderman, H Schoelkopf, L Sutawika, L Gao, J Tow, B Abbasi, AF Aji, ...
arXiv preprint arXiv:2405.14782, 2024
Current Status of NLP in South East Asia with Insights from Multilingualism and Language Diversity
AF Aji, JZ Forde, AM Loo, L Sutawika, S Wang, GI Winata, ZX Yong, ...
Proceedings of the 13th International Joint Conference on Natural Language …, 2023
Utilizing Weak Supervision To Generate Indonesian Conservation Dataset
M Fransiska, D Pitaloka, S Putra, L Sutawika
arXiv preprint arXiv:2310.11258, 2023
On the usage of hybrid 1-D convolutional network and long-short-term-memory network for constant-amplitude multiple-site fatigue damage prediction on aircraft lap joints
MI Mas, MI Fanany, T Devin, LA Sutawika
2017 International Conference on Sustainable Information Engineering and …, 2017
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