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@@ -16,7 +16,7 @@ Starting from the original MDLM (Masked Discrete Diffusion Language Model) LLaDA
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  Our implementation replaces traditional hard binary masks with evolving soft token distributions. This allows EvoTokenDLM to facilitate a progressive transition from masked states to discrete outputs, effectively supporting revisable decoding.
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- The method and its results are detailed in the paper: todo.
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  ## How to Use
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@@ -30,5 +30,10 @@ For detailed instructions and code, please refer to the official GitHub reposito
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  If you find this work helpful for your research, please cite:
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  ```BibTeX
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- todo
 
 
 
 
 
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  ```
 
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  Our implementation replaces traditional hard binary masks with evolving soft token distributions. This allows EvoTokenDLM to facilitate a progressive transition from masked states to discrete outputs, effectively supporting revisable decoding.
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+ The method and its results are detailed in the paper: [Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models](https://arxiv.org/abs/2601.07351).
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  ## How to Use
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  If you find this work helpful for your research, please cite:
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  ```BibTeX
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+ @article{zhong2026beyond,
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+ title={Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models},
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+ author={Zhong, Linhao and Wu, Linyu and Fang, Bozhen and Feng, Tianjian and Jing, Chenchen and Wang, Wen and Zhang, Jiaheng and Chen, Hao and Shen, Chunhua},
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+ journal={arXiv preprint arXiv:2601.07351},
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+ year={2026}
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+ }
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  ```