2026
DPad: Efficient Diffusion Language Models with Suffix Dropout
ICLR 2026poster
Diffusion-based Large Language Models (dLLMs) parallelize text generation by framing decoding as a denoising process, but suffer from high computational overhead since they predict all future suffix tokens at each step while retaining only a small fraction. We propose $\textbf{Diffusion Scratchpad}…