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cs.CL2026
DARE: Diffusion Large Language Models Alignment and Reinforcement Executor
Jingyi Yang, Yuxian Jiang, Xuhao Hu +3
Diffusion large language models (dLLMs) are emerging as a compelling alternative to dominant autoregressive models, replacing strictly sequential token generation with iterative de…
cs.CL2026
-: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs
Jingyi Yang, Yuxian Jiang, Jing Shao
Beyond parallel generation and global context modeling, current masked diffusion large language models (masked dLLMs, i.e., LLaDA) suffer from a fundamental limitation: they requir…