3 papers
cs.CL2026
Commitment Before Realization: When Classifier-Free Guidance Becomes Unnecessary in Masked Diffusion Language Models
Fan Zhou, Weitian Wang, Tim Van de Cruys
Classifier-free guidance (CFG) is usually kept on throughout masked diffusion language model decoding, although its benefit varies across prompts and over time. We study when CFG i…
cs.CL2026
Guidance Is Not a Hyperparameter: Learning Dynamic Control in Diffusion Language Models
Fan Zhou, Tim Van de Cruys
Classifier-Free Guidance (CFG) is a widely used mechanism for controlling diffusion-based generative models, yet its guidance scale is typically treated as a fixed hyperparameter t…
cs.CL2025
Controllable Stylistic Text Generation with Train-Time Attribute-Regularized Diffusion
Fan Zhou, Chang Tian, Tim Van de Cruys
Generating stylistic text with specific attributes is a key problem in controllable text generation. Recently, diffusion models have emerged as a powerful paradigm for both visual…