Papers by Tianjian Feng

1 papers
Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models (2026.acl-long)

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Challenge: Existing Diffusion Language Models rely on hard binary masking and discrete token assignments, which hinder the revision of early decisions.
Approach: They propose a diffusion-based language modeling approach that replaces hard binary masks with evolving soft token distributions.
Outcome: The proposed approach outperforms existing DLMs on multiple benchmarks.

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