Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Infer
Diffusion large language models (dLLMs) offer a theoretical advantage in parallel generation over standard autoregressive models. However, parallel generation alone does not guarantee practical speedups. Realizing this efficiency requires s
https://arxiv.org/abs/2607.12829v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
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llm
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Daehoon Gwak
1.0
low confidence
M
Minhyung Lee
1.0
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Junwoo Park
1.0
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Jaegul Choo
1.0
low confidence
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Infuse knowledge into language models with just 10 samples
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