Masked diffusion language models improve by encoding position priority as hierarchy levels

The authors' HMDLM factorizes generation into hierarchy prediction and token prediction, with level-specific noise schedules, and beats strong baselines on language and reasoning tasks.

Big Tech
Parul Gupta · Satwik · Avni Aggarwal · Bhavesh Gurnani · Arnab Kumar Mondal · Dinesh Khandelwal · +2 more

Indian Institute of Technology Delhi · IBM Research

Research Digest··3 min read
Gupta et al.

The authors reformulate masked discrete diffusion to incorporate a hierarchy level for every token position, available with zero or minimal extra annotation.

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