FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models
FluxLite is introduced, a lightweight, training-free proposal-control framework for discrete diffusion, identifying a tilted-path coverage factor that governs robustness to score error, together with finite-particle convergence for a fixed controlled Feynman-Kac recursion.
Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff et al.
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