Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference
Researchers released Step-dLLM, a sparse-attention method that speeds up diffusion large language model inference by periodically refreshing a block-sparse mask at anchor steps along the denoising trajectory and applying…