Shaorong Zhang
1 indexed paper
Recent (6 mo)
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126
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NLP×1
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2026
Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models
The paper introduces D3IM, a novel parameter-free sampler that enables direct revision of visible tokens in Masked Diffusion Language Models, and proposes SCOPE to mitigate the model's tendency to perpetuate errors.
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Papers
cs.CLRecentMay 31, 2026
Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models
Longxuan Yu, Shaorong Zhang, Yu Fu, Hui Liu +2 more
The paper introduces D3IM, a novel parameter-free sampler that enables direct revision of visible tokens in Masked Diffusion Language Models, and proposes SCOPE to mitigate the model's tendency to per…
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