Lawrence McAfee

According to our database, Lawrence McAfee authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Retrieval meets Long Context Large Language Models.

Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reducing Activation Recomputation in Large Transformer Models.

Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.

Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023