Non-AutoRegressive Text generation

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This presentation explores the evolution of non-autoregressive text generation, focusing on its motivation, challenges, and research directions. A comprehensive review contrasts traditional autoregressive and innovative diffusion-based approaches, highlighting advancements and challenges. Through case studies, like binary addition experiments, and a proposed two-stage diffusion model for SVO extraction, the methodology is rigorously developed and optimized. Experimental results analyze...