Full papers
Original research submissions presenting novel methods or results in discrete diffusion and flow models.
Machine Learning/CORE Unranked
BeNTo Workshop NeurIPS 2026
Beyond Next Token Prediction: Diffusion and Flow Models for Next-Generation Decoding
BeNTo is a NeurIPS 2026 workshop focused on discrete diffusion and flow models for parallel, non-causal generation, aiming to move beyond next-token prediction in generative models. The workshop will take place in Sydney, Australia, and features tracks on novel architectures, training methods, and applications of these models in biosciences and beyond.
Key deadlines
Verified August 30, 2026Full paper
September 6, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
September 6, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Concise contributions such as preliminary results, system demos, or position papers.
Journal track
Extended versions of previously published work suitable for journal submission.
Research areas in scope
01
Workshop Tracks
Discrete diffusion modelsFlow models for non-causal generationParallel generation architecturesApplications in biosciencesCerebras integrationNew decoding paradigms
Policies worth checking twice
- Submissions must be anonymized for blind review.
- Page limit: 8 pages for full papers, 4 pages for short papers (excluding references).
- Dual submission to other conferences or journals is not permitted during review.
- Author lists cannot be changed after the submission deadline.
- Authors must include an AI-use statement detailing any generative AI tools used in preparation of the submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified August 30, 2026