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Retrieval meets Long Context Large Language Models.

P. Xu, W. Ping, X. Wu, L. McAfee, C. Zhu, Z. Liu, S. Subramanian, E. Bakhturina, M. Shoeybi, and B. Catanzaro. CoRR, (2023)

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Mohammad Mohammad

Mohammad Sadeghi

Metallogenic modeling and mineral potential mapping in the Takab district, NW IranM. Sadeghi. Uni Halle-Wittenberg, (2009)

Mohammad Reza Mohammad Khorasani

Mohammad Mehrjouei

Mohammad Djassemi

Other publications of authors with the same name

An adaptive implicit-explicit scheme for the DNS and LES of compressible flows on unstructured grids.M. Shoeybi, M. Svärd, F. Ham, and P. Moin. J. Comput. Phys., 229 (17): 5944-5965 (2010)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)ChatQA: Building GPT-4 Level Conversational QA Models.Z. Liu, W. Ping, R. Roy, P. Xu, C. Lee, M. Shoeybi, and B. Catanzaro. CoRR, (2024)Retrieval meets Long Context Large Language Models.P. Xu, W. Ping, X. Wu, L. McAfee, C. Zhu, Z. Liu, S. Subramanian, E. Bakhturina, M. Shoeybi, and B. Catanzaro. CoRR, (2023)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)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)Unsupervised Video Interpolation Using Cycle Consistency.F. Reda, D. Sun, A. Dundar, M. Shoeybi, G. Liu, K. Shih, A. Tao, J. Kautz, and B. Catanzaro. ICCV, page 892-900. IEEE, (2019)RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models.J. Huang, W. Ping, P. Xu, M. Shoeybi, K. Chang, and B. Catanzaro. CoRR, (2023)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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Disambiguation of "Shoeybi, Mohammad"

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Retrieval meets Long Context Large Language Models.

Please choose a person to relate this publication to

Mohammad Mohammad

Mohammad Sadeghi

Mohammad Reza Mohammad Khorasani

Mohammad Mehrjouei

Mohammad Djassemi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shoeybi, Mohammad"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Retrieval meets Long Context Large Language Models.

Please choose a person to relate this publication to

Mohammad Mohammad

Mohammad Sadeghi

Mohammad Reza Mohammad Khorasani

Mohammad Mehrjouei

Mohammad Djassemi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Retrieval meets Long Context Large Language Models.