Gongfan Fang
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126
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NLP×1
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2026
dMoE: dLLMs with Learnable Block Experts
dMoE proposes a block-level Mixture-of-Experts (MoE) framework for Diffusion Large Language Models (dLLMs) that aggregates token-level expert distributions into a unified block-level distribution, significantly reducing memory usage and improving inference speed.
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Papers
cs.CLRecentMay 29, 2026
dMoE: dLLMs with Learnable Block Experts
Sicheng Feng, Zigeng Chen, Gongfan Fang, Xinyin Ma +1 more
dMoE proposes a block-level Mixture-of-Experts (MoE) framework for Diffusion Large Language Models (dLLMs) that aggregates token-level expert distributions into a unified block-level distribution, sig…
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