Tag
Proposes neuromorphic masked diffusion language models (N-MDLMs) that integrate block diffusion with spike-based neuromorphic computation to improve throughput and energy efficiency by leveraging sparsity and generating multiple tokens per parameter access, analyzed via a roofline-inspired model.