AIFIRST Continuous Diffusion Language Models (CDLMs)
The brief
Sander Dieleman's post covers continuous diffusion language models (CDLMs), which apply continuous-domain diffusion to discrete text by embedding tokens in high-dimensional space.
Key points
- The approach sidesteps the sequential bottleneck of autoregressive generation and enables parallel decoding.
- The post includes benchmark comparisons against masked and autoregressive baselines on standard NLP tasks.
Sources
- HNsander.ai