Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards

ArXi:2510.01544v2 Announce Type: replace Diffusion-based large language models offer a non-autoregressive alternative for text generation, but enabling them to perform complex reasoning remains challenging. Reinforcement learning has recently emerged as an effective post-