Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders

Documenti analoghi

• Towards Controllable Natural Language Inference through Lexical Inference Types
  di: Zhang, Yingji, et al.
  Pubblicazione: (2023)
• Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
  di: Zhang, Yingji, et al.
  Pubblicazione: (2025)
• Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
  di: Zhang, Yingji, et al.
  Pubblicazione: (2022)
• Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder
  di: Zhang, Yingji, et al.
  Pubblicazione: (2025)
• Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
  di: Zhang, Yingji, et al.
  Pubblicazione: (2023)