MDLMs lag autoregressive models in performance because parallel modeling weakens inter-token dependencies, yet they adapt generation order to task demands and show promise in a generate-then-edit paradigm.
Sim- ilarly,Dream-7Breached a score of 40 at epoch
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Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
MDLMs lag autoregressive models in performance because parallel modeling weakens inter-token dependencies, yet they adapt generation order to task demands and show promise in a generate-then-edit paradigm.