CoDiLA adds a compact auxiliary AR model on diffusion latents to enforce local sequential validity during parallel token sampling in discrete diffusion language models.
Hence, we get DKL(q(xt−1|xt,x 0)||pθ(xt−1|xt)) = LX i=1 δxi t=[MASK]DKL(q(xi t−1|xi t =[MASK], x i 0)||pθ(xi t−1|xt))
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Locally Coherent Parallel Decoding in Diffusion Language Models
CoDiLA adds a compact auxiliary AR model on diffusion latents to enforce local sequential validity during parallel token sampling in discrete diffusion language models.