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Found 3 papers, 2 papers with code
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
As the quality of large language models has improved, there has been increased interest in using them to model non-linguistic tokens.
Self-Correcting Self-Consuming Loops for Generative Model Training
As synthetic data becomes higher quality and proliferates on the internet, machine learning models are increasingly trained on a mix of human- and machine-generated data.
IsoScore: Measuring the Uniformity of Embedding Space Utilization
We propose IsoScore: a novel tool that quantifies the degree to which a point cloud uniformly utilizes the ambient vector space.
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