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Found 2 papers, 1 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.
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