Ruoyu Lin

Multi-agent generative models can now provably satisfy complex, coupled hard constraints without centralized runtime coordination—even zero-shot scaling to agent counts never seen during training.

Attention entropy reveals exploitable sparsity in VAR models, enabling 3.4x faster image generation without sacrificing quality.