Diffusion models became the paradigm for generative models in 2022. Unlike autoregressive models that require restricted connectivity patterns for ensuring causality, diffusion models are unconstrained and thus allow more creative freedom. But given the efficiency of current autoregressive models (example ChatGPT), is researching diffusion models in the language field even worth it?

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