DiffuLM @ NeurIPS 2026
We invite extended abstracts and short papers advancing diffusion language models and related non-autoregressive methods across foundations, efficiency, reasoning, and systems.
At a glance
Submissions
We welcome theoretical, algorithmic, empirical, and systems work that helps establish diffusion language models as a rigorous and practical alternative to autoregressive generation.
Submissions are non-archival and reviewed double-blind on OpenReview. Work already published at NeurIPS 2026 or another archival venue is not eligible.
Every submission will receive at least three reviews. The workshop will recognize a Best Paper and a Best Student Paper Award.
Track 01
Up to 4 pages of main text
Work-in-progress, preliminary results, and position papers.
Track 02
Up to 8 pages of main text
More complete contributions with experiments or theoretical results.
Formatting requirement
Papers in both tracks must be formatted with the NeurIPS 2026 style template, available from the NeurIPS 2026 Call for Papers page.
Scope
December 12 · Sydney
Participate
Paper submission
Upload your anonymized extended abstract or short paper by August 31 September 5, 2026 AoE.
Reviewer sign-up
We welcome reviewers working on diffusion language models and neighboring areas.
Open the reviewer form