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README.md
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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:
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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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```
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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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```
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