On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction

Diffusion language models (DLMs) promise parallel text generation, but in practice face an unresolved speed-quality trade-off. Exact decoding fills in only one masked position per model pass, while faster multi-token decoding schemes are lossy.