AI RESEARCH
DARE: Diffusion Large Language Models Alignment and Reinforcement Executor
arXiv CS.CL
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ArXi:2604.04215v1 Announce Type: new Diffusion large language models (dLLMs) are emerging as a compelling alternative to dominant autoregressive models, replacing strictly sequential token generation with iterative denoising and parallel generation dynamics. However, their open-source ecosystem remains fragmented across model families and, in particular, across post-