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News/Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models
arxiv
PublishedOctober 13, 2026 at 4:00 AM

Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models

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arXiv:2610.00661v2 Announce Type: replace-cross Abstract: 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 thes

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