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cs.CL2025
Tree Reward-Aligned Search for TReASURe in Masked Diffusion Language Models
Zichao Yu, Ming Li, Wenyi Zhang +1
Tree search has recently emerged as a powerful framework for aligning generative models with task-specific rewards at test time. Applying tree search to Masked Diffusion Language M…
cs.LG2025
Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging
Weiguo Gao, Ming Li
Diffusion trajectory distillation accelerates sampling by training a student model to approximate the multi-step denoising trajectories of a pretrained teacher model using far fewe…
cs.LG2025
Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models
Weiguo Gao, Ming Li
The increasing prevalence of synthetic data in training loops has raised concerns about model collapse, where generative models degrade when trained on their own outputs. While pri…