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Context Generation Improves Open Domain Question Answering.

D. Su, M. Patwary, S. Prabhumoye, P. Xu, R. Prenger, M. Shoeybi, P. Fung, A. Anandkumar, and B. Catanzaro. CoRR, (2022)

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Context Generation Improves Open Domain Question Answering.D. Su, M. Patwary, S. Prabhumoye, P. Xu, R. Prenger, M. Shoeybi, P. Fung, A. Anandkumar, and B. Catanzaro. CoRR, (2022)Training Question Answering Models From Synthetic Data.R. Puri, R. Spring, M. Shoeybi, M. Patwary, and B. Catanzaro. EMNLP (1), page 5811-5826. Association for Computational Linguistics, (2020)MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models.P. Xu, M. Patwary, M. Shoeybi, R. Puri, P. Fung, A. Anandkumar, and B. Catanzaro. EMNLP (1), page 2831-2845. Association for Computational Linguistics, (2020)Keynote Talk 2 Training Large Language Models: Challenges and Opportunities.M. Patwary. IPDPS Workshops, page 1245. IEEE, (2022)Factuality Enhanced Language Models for Open-Ended Text Generation.N. Lee, W. Ping, P. Xu, M. Patwary, P. Fung, M. Shoeybi, and B. Catanzaro. NeurIPS, (2022)Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.S. Smith, M. Patwary, B. Norick, P. LeGresley, S. Rajbhandari, J. Casper, Z. Liu, S. Prabhumoye, G. Zerveas, V. Korthikanti and 10 other author(s). CoRR, (2022)Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.B. Wang, W. Ping, C. Xiao, P. Xu, M. Patwary, M. Shoeybi, B. Li, A. Anandkumar, and B. Catanzaro. NeurIPS, (2022)Context Generation Improves Open Domain Question Answering.D. Su, M. Patwary, S. Prabhumoye, P. Xu, R. Prenger, M. Shoeybi, P. Fung, A. Anandkumar, and B. Catanzaro. EACL (Findings), page 781-796. Association for Computational Linguistics, (2023)Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models.S. Prabhumoye, M. Patwary, M. Shoeybi, and B. Catanzaro. EACL, page 2628-2643. Association for Computational Linguistics, (2023)DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.A. Rupe, Prabhat, J. Crutchfield, N. Kumar, V. Epifanov, K. Kashinath, O. Pavlyk, F. Schlimbach, M. Patwary, S. Maidanov and 1 other author(s). MLHPC@SC, page 75-87. IEEE, (2019)

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Context Generation Improves Open Domain Question Answering.

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Disambiguation of "Patwary, Mostofa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Context Generation Improves Open Domain Question Answering.

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Context Generation Improves Open Domain Question Answering.