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 address challenges in domains with limited data, computation, or labeling. The event emphasizes practical, scalable, and equitable ML solutions for under-resourced languages, communities, and environments.

Key deadlines

Verified September 9, 2026

Full paper

August 15, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

August 15, 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 ideas, preliminary results, or work in progress.

Demo Papers

Descriptions of working systems or tools demonstrating practical applications in low-resource ML.

Position Papers

Thought-provoking perspectives on challenges, opportunities, or ethical considerations in low-resource machine learning.

Research areas in scope

01

Topics of Interest

Machine learning for low-resource languagesEfficient and lightweight modelsData augmentation and synthesis for low-resource scenariosTransfer and multi-task learning in low-resource settingsActive learning and human-in-the-loop methodsEvaluation metrics and benchmarks for low-resource MLEthical and equitable ML for underserved communitiesCross-lingual and cross-domain adaptationModel compression and quantizationResource-efficient training and inference

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/demo/position papers, excluding references.
  • Dual submission to other conferences or journals is not allowed.
  • All accepted papers must be presented at the conference by an author.
  • Authors must include an AI-use statement in their submissions.

Official sources

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

Last verified September 9, 2026

MMLow 2026: deadlines, venue, and submission guide | COREXA