Lawrence McAfee

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

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Publications

Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
Retrieval meets Long Context Large Language Models. ICLR (2024)
Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP (2023)
Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro
Reducing Activation Recomputation in Large Transformer Models. MLSys (2023)
Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
Retrieval meets Long Context Large Language Models. CoRR (2023)
Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro
Reducing Activation Recomputation in Large Transformer Models. CoRR (2022)