A collection of papers related to text diffusion models.

The organization of papers refer to our survey 'Diffusion Models for Non-autoregressive Text Generation: A Survey' , which is accepted by IJCAI 2023 survey track.

If you find our survey useful for your research, please cite the following paper:

@article{li2023diffusion,
  title={Diffusion Models for Non-autoregressive Text Generation: A Survey},
  author={Li, Yifan and Zhou, Kun and Zhao, Wayne Xin and Wen, Ji-Rong},
  journal={arXiv preprint arXiv:2303.06574},
  year={2023}
}

1. Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
   Emiel Hoogeboom et al. NeurIPS 2021. [Paper]

2. Diffusion-LM Improves Controllable Text Generation
   Xiang Lisa Li et al. NeurIPS 2022. [Paper] [Code]

3. Composable Text Controls in Latent Space with ODEs
   Guangyi Liu et al. arxiv 2022. [Paper] [Code]

4. DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
   Shansan Gong et al. ICLR 2023. [Paper] [Code]

5. SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
   Xiaochuang Han et al. arxiv 2022.[Paper] [Code]

6. Self-conditioned Embedding Diffusion for Text Generation
   Robin Strudel et al. arxiv 2022. [Paper]

7. Continuous diffusion for categorical data
   Sander Dieleman et al. arxiv 2022. [Paper]

8. Difformer: Empowering Diffusion Model on Embedding Space for Text Generation
   Zhujin Gao et al. arxiv 2022. [Paper]

9. Latent Diffusion for Language Generation
   Justin Lovelace et al. arxiv 2022. [Paper] [Code]

10. SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers
    Hongyi Yuan et al. arxiv 2022. [Paper] [Code]

11. Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
    Zhenghao Lin et al. arxiv 2022. [Paper] [Code]

12. A Reparameterized Discrete Diffusion Model for Text Generation
    Lin Zheng et al. arxiv 2023. [Paper] [Code]

13. DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
    Jiasheng Ye et al. arxiv 2023. [Paper] [Code]

14. GlyphDiffusion: Text Generation as Image Generation
    Junyi Li et al. arxiv 2023. [Paper]

15. DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM
    Weijie Xu et al. Findings of EMNLP 2023. [Paper]

1. Structured Denoising Diffusion Models in Discrete State-Spaces
   Jacob Austin et al. NeurIPS 2021. [Paper]

2. DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
   Zhengfu He et al. arXiv 2022. [Paper] [Code]

3. Diff-Glat: Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
   Lihua Qian et al. arxiv 2022. [Paper]

4. Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation
   Kun Zhou et al. arxiv 2023. [Paper]