Why Deterministic PRM Guidance Underperforms in Discrete Diffusion Reasoning

Yan Zhan, Shaobo Liu, Zhijun Gao

Discrete diffusion language models (dLLMs) expose a denoised solution at every step, which makes process reward model (PRM) guidance look like a way to spend compute at test time.…