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Found 6 papers, 4 papers with code
CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions
In 2022, there were on average more than 100 clinical trials submitted to ClinicalTrials. gov every day, with each trial having a mean of approximately 1500 words [1].
Neural Arithmetic Units
We present two new neural network components: the Neural Addition Unit (NAU), which can learn exact addition and subtraction; and the Neural Multiplication Unit (NMU) that can multiply subsets of a vector.
Autoencoding Undirected Molecular Graphs With Neural Networks
to fitting the QM9 dataset, which conforms to the octet rule, and to fitting the ZINC dataset, which contains hypervalent molecules and ions requiring the model to learn a more complex structure rule.
Measuring Arithmetic Extrapolation Performance
The goal of NALU is to learn perfect extrapolation, which requires learning the exact underlying logic of an unknown arithmetic problem.
Learning when to skim and when to read
Many recent advances in deep learning for natural language processing have come at increasing computational cost, but the power of these state-of-the-art models is not needed for every example in a dataset.
Neural Machine Translation with Characters and Hierarchical Encoding
Most existing Neural Machine Translation models use groups of characters or whole words as their unit of input and output.
