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05/21/2022
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
We propose a novel prompting strategy, least-to-most prompting, that ena...
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04/15/2022
Resource-Constrained Neural Architecture Search on Tabular Datasets
The best neural architecture for a given machine learning problem depend...
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04/11/2022
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
Machine Learning (ML) workloads have rapidly grown in importance, but ra...
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03/21/2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
We explore a simple ensemble strategy, self-consistency, that significan...
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01/28/2022
Chain of Thought Prompting Elicits Reasoning in Large Language Models
Although scaling up language model size has reliably improved performanc...
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10/30/2020
Training EfficientNets at Supercomputer Scale: 83 Accuracy in One Hour
EfficientNets are a family of state-of-the-art image classification mode...
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01/23/2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
The capacity of a neural network to absorb information is limited by its...
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06/19/2015
