multi-token-residual-prediction

Introduces Multi-Token Residual Prediction (MRP), a technique that accelerates diffusion language model inference by predicting residuals between adjacent denoising steps, achieving up to 1.56x speedup in SGLang and recovering up to +16 accuracy points in aggressive decoding settings.