AI RESEARCH
When Diffusion Breaks Constraints: Sequential Autoregressive Generation with RL and MCTS
arXiv CS.AI
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ArXi:2512.01242v3 Announce Type: replace-cross Data-driven generative models excel in language and vision, but diffusion models often fail in constrained planning and design tasks, exhibiting severe constraint violations in engineering inverse design, molecular generation, multi-robot planning, and floorplan/scene synthesis even with projection or guidance.