Diffusion-based Large Language Models Survey
Diffusion-based large language models (DLLMs) have emerged as a promising alternative to traditional autoregressive architectures, notably enhancing parallel generation, controllability, and robustness across multiple modalities. Originally developed
Authors
- Zhuming Bi (ORCID: https://orcid.org/0000-0002-8145-7883)
- Junhao Song
- Chih-Kuo Tseng
- D. H. Zhang
Publication Details
- Published
- 2025-08-26
- DOI
- https://doi.org/10.36227/techrxiv.175502932.20939890/v2
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00