Stanford U’s Language Model Leverages Stochastic Processes to Improve Efficiency and Coherence in Long Text Generation | Synced
A Stanford research team proposes Time Control (TC), a language model that implicitly plans via a latent stochastic process and generates texts consistent with this latent plan to improve performan...
Source: Synced | AI Technology & Industry Review
A Stanford research team proposes Time Control (TC), a language model that implicitly plans via a latent stochastic process and generates texts consistent with this latent plan to improve performance on long text generation.