accuracy-throughput

Fast-dLLM++ introduces Fréchet profile decoding for diffusion LLMs, a training-free method that selects parallel commit sets based on heterogeneous confidence profiles, achieving up to 37% higher throughput at comparable accuracy on benchmarks with LLaDA-8B.