SpecCTMC: Exact Speculative Simulation of Diffusion Language Model Continuous-Time Markov Chains
Drafts several successive unmasking events and checks their tentative states in a batch. Corrects rejected proposals to preserve the distribution of an event-driven diffusion sampler while reducing sequential model calls.
First public: · Added to this list: November 9, 2026
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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.
Analysis and evaluation — Measure how well these methods work, investigate what their internal computation does, and identify where they fail. This includes experiments, studies of model internals, and mathematical results.