MMLow 2026

Deadlines
NLP/CORE Unranked

MMLow 2026

Fifth Workshop on Multimodal Machine Learning in Low-Resource Languages

Nov 09 2026Hengqin, ChinaOfficial workshop site Site reachable

MMLow 2026 is a conference focused on machine learning for low-resource settings, bringing together researchers to present and discuss innovative approaches to building effective ML systems with limited data, computation, or annotation. The event emphasizes practical solutions and theoretical advances applicable to under-resourced languages, domains, and communities.

Key deadlines

Verified September 9, 2026

Full paper

August 10, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

August 10, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full Papers

Original research contributions with substantial technical depth and experimental evaluation.

Short Papers

Concise presentations of promising early-stage work, position papers, or system demos.

Workshop Proposals

Proposals for standalone workshops to be held in conjunction with the main conference.

Research areas in scope

01

Topics of Interest

Low-resource language processingData-efficient and sample-efficient learningTransfer and multi-task learning for low-resource scenariosActive learning and human-in-the-loop methodsData augmentation and synthetic data generationModel compression and efficient inferenceMultimodal learning with limited modalitiesDomain adaptation and cross-lingual transferEthics, fairness, and inclusivity in low-resource MLEvaluation methodologies for low-resource settingsApplications in healthcare, education, and humanitarian contexts

Policies worth checking twice

  • Submissions must be anonymized for double-blind review.
  • Papers must not exceed 8 pages for full papers and 4 pages for short papers, excluding references.
  • Dual submission to other conferences or journals is not permitted.
  • Author lists and affiliations cannot be changed after the submission deadline.
  • All submissions must include a statement on the use of AI tools in the preparation of the paper.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026