AINeutralarXiv – CS AI · 10h ago6/10
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Primal-Dual Guided Decoding for Constrained Discrete Diffusion
Researchers introduce primal-dual guided decoding, an inference-time method for discrete diffusion models that enforces global constraints during token generation through adaptive Lagrangian multipliers and KL-regularized optimization. The approach requires no model retraining, supports multiple simultaneous constraints, and demonstrates effectiveness across text generation, molecular design, and music applications.