PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model

Neural Information Processing Systems 

In this paper, we propose PLANNER, a model that combines latent semantic diffusion with autoregressive generation, to generate fluent text while exercising global control over paragraphs. The model achieves this by combining an autoregressive "decoding" module with a "planning" module that

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