Mohammad Shoeybi - researchr alias

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Viewing Publication 1 - 21 from 21

2023

Context Generation Improves Open Domain Question AnsweringDan Su 0003, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu 0008, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro. eacl 2023: 781-796 [doi]

Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language ModelsShrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro. eacl 2023: 2628-2643 [doi]

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyBoxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro. emnlp 2023: 7763-7786 [doi]

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image CaptioningZhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu 0001, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar. emnlp 2023: 11844-11857 [doi]

2022

Evaluating Parameter Efficient Learning for GenerationPeng Xu 0008, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro. emnlp 2022: 4824-4833 [doi]

Factuality Enhanced Language Models for Open-Ended Text GenerationNayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro. nips 2022: [doi]

Multi-Stage Prompting for Knowledgeable Dialogue GenerationZihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro. acl 2022: 1317-1337 [doi]

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language ModelsBoxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro. nips 2022: [doi]

Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language ModelsDavid Wingate, Mohammad Shoeybi, Taylor Sorensen. emnlp 2022: 5621-5634 [doi]

2021

2020

2019

Unsupervised Video Interpolation Using Cycle ConsistencyFitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro. iccv 2019: 892-900 [doi]

2017

Deep Voice: Real-time Neural Text-to-SpeechSercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi. icml 2017: 195-204 [doi]

2010

An adaptive implicit-explicit scheme for the DNS and LES of compressible flows on unstructured gridsMohammad Shoeybi, Magnus Svärd, Frank E. Ham, Parviz Moin. jcphy, 229(17):5944-5965, 2010. [doi]

2008

Stable and accurate schemes for the compressible Navier-Stokes equationsKen Mattsson, Magnus Svärd, Mohammad Shoeybi. jcphy, 227(4):2293-2316, 2008. [doi]

2006

Towards Wall-Normal Filtering for Large-Eddy SimulationJeremy A. Templeton, Mohammad Shoeybi. mmas, 5(2):420-444, 2006. [doi]

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