2 citations · 8 across the 5 of their papers we have counts for
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cs.AI2022★ 2 cited
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges
Fabricio Goes, Zisen Zhou, Piotr Sawicki +2
This paper presents the Crowd Score, a novel method to assess the funniness of jokes using large language models (LLMs) as AI judges. Our method relies on inducing different person…
cs.LG2022★ 1 cited
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders
Lisa Bonheme, Marek Grzes
When training a variational autoencoder (VAE) on a given dataset, determining the optimal number of latent variables is mostly done by grid search: a costly process in terms of com…
cs.LG2022★ 1 cited
How do Variational Autoencoders Learn? Insights from Representational Similarity
Lisa Bonheme, Marek Grzes
The ability of Variational Autoencoders (VAEs) to learn disentangled representations has made them popular for practical applications. However, their behaviour is not yet fully und…