2 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
As large language models (LLMs) scale in size and adoption, their computational and environmental costs continue to rise. Prior benchmarking efforts have primarily focused on laten…
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez, Yonatan Bisk, Emma Strubell
Large Language Models (LLMs) trained on web-scale text corpora have been shown to capture world knowledge in their parameters. However, the mechanism by which language models store…
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
Michael Chen, Mike D'Arcy, Alisa Liu +2
Commonsense reasoning is a critical AI capability, but it is difficult to construct challenging datasets that test common sense. Recent neural question answering systems, based on…