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Original research contributions with substantial technical depth and experimental evaluation.
Fifth Workshop on Multimodal Machine Learning in Low-Resource Languages
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.
Full paper
August 10, 2026
AoE
Workshop timeline
Full paperKey deadline
August 10, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original research contributions with substantial technical depth and experimental evaluation.
Concise presentations of promising early-stage work, position papers, or system demos.
Proposals for standalone workshops to be held in conjunction with the main conference.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026