A sign-flip constraint on one latent dimension of a VAE trained on LLM embeddings yields complementary event probabilities that sum to near one and track true probabilities on held-out dice events.
Isolating sources of disentanglement in variational autoencoders.Advances in neural information processing systems, 31, 2018
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Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints
A sign-flip constraint on one latent dimension of a VAE trained on LLM embeddings yields complementary event probabilities that sum to near one and track true probabilities on held-out dice events.