Learning to Couple: Context-Adaptive Joint Denoising for Diffusion Language Models
Combines a diffusion language model with a probabilistic circuit that models dependencies among tokens proposed together. Learns context-dependent token coupling and uses it to decide which discrete tokens to commit in parallel on math and code tasks.
First public: · Added to this list: October 22, 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.