✨Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models

📝 Summary:
Masked Diffusion Language Models MDLMs show locality bias and poor context comprehension due to appended mask tokens acting as distractors. A mask-agnostic loss function was introduced. This function improves MDLM robustness by mitigating the masks distracting effect.

🔹 Publication Date: Published on Nov 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.21338
• PDF: https://arxiv.org/pdf/2511.21338

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#LanguageModels #DiffusionModels #NLP #ContextComprehension #AIResearch