Learning When to Commit: Schedule Distillation for Fast Diffusion Language Models
Constructs diffusion decoding schedules that reveal tokens useful for predicting the remaining positions. Distills these schedules into the model while keeping the target responses fixed, and tests faster parallel decoding on math and code tasks.
First public: · Added to this list: November 2, 2026
Explore this approach
Alternative generation methods — Change how intermediate steps are generated, revised, or searched—for example, by refining several steps in parallel. Some produce written chains of thought.