SEMASIA: A Large-Scale Dataset of Semantically Structured Latent Representations

Mario Edoardo Pandolfo, Enrico Grimaldi, Lorenzo Marinucci +4

Latent representations learned by neural networks often exhibit semantic structure, where concept similarity is reflected by geometric proximity in embedding space. However, compar…