EXODUS: An Explicit Outcome-Driven Uncertainty Screening Controller for Diffusion Language Model Sampling
Masked diffusion language models can revise committed tokens to correct errors at the cost of additional computation. Because recovery benefits vary across tokens and denoising steps, fixed policies can spend this computation on unhelpful revisions. We present EXplicit Outcome-Driven Uncertainty Screening (EXODUS), a m...