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DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space
April 11, 2024, 4:46 a.m. | Jianxiang Xiang, Zhenhua Liu, Haodong Liu, Yin Bai, Jia Cheng, Wenliang Chen
cs.CL updates on arXiv.org arxiv.org
Abstract: In real-life conversations, the content is diverse, and there exists the one-to-many problem that requires diverse generation. Previous studies attempted to introduce discrete or Gaussian-based continuous latent variables to address the one-to-many problem, but the diversity is limited. Recently, diffusion models have made breakthroughs in computer vision, and some attempts have been made in natural language processing. In this paper, we propose DiffusionDialog, a novel approach to enhance the diversity of dialogue generation with the …
abstract arxiv continuous conversations cs.ai cs.cl dialog diffusion diffusion model diffusion models diverse diversity life space studies type variables
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