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Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models
Diffusion large language models (dLLMs) generate text by denoising a sequence or successive blocks, allowing several tokens to be revealed in parallel. Reinforcement learning with verifiable rewards (RLVR) reuses terminal feedback across these decisions, even as their conditioning context changes. W
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