[Call for Participation] WMT 2026 Shared Task on Multitask LLMs with Limited Resources

[LLMs with Limited Resources for Slavic Languages 2025]

We are pleased to announce the new edition of our WMT 2026 Shared Task on Multitask LLMs with Limited Resources, co-located with EMNLP 2026!

Task website: WMT 2026 Shared Task Website
Google Group: LLMs with Limited Resources Google Group

This shared task extends the WMT 2025 edition on low-resource LLMs by introducing three additional multitask settings:

• Spell Checking

• Grammar Checking

• modern evaluation of Maths Reasoning

The benchmark focuses on low-resource evaluation for three languages:

• Ukrainian (uk)

• Upper Sorbian (hsb)

• Lower Sorbian (dsb)

Participants are required to train a single multitask model based on the Qwen3.5-2B family and jointly evaluate it on all tasks:

• Machine Translation

• Multiple-Choice Question Answering

• Spell Checking

• Grammar Checking

• Maths Reasoning

The task aims to study:

• Cross-task transfer in compact LLMs

• Multitask learning under strict parameter constraints

• Efficient adaptation for low-resource Slavic languages
  Interactions between translation, linguistic correction, QA, and reasoning capabilities

So, if you would like to challenge yourself in developing LLMs with restricted resources -- consider our shared task!

Important dates (AoE):

• Training/development data release: Mid May 2026

• Test data release: end of June 2026

• Submission deadline: July 2026

We welcome participation from both academia and industry, especially teams interested in multilingual NLP, efficient LLM adaptation, low-resource machine translation, and multitask learning.

Please join the Google Group for updates and registration details.

Organisers (in alphabetical order):

• Daryna Dementieva

• Marion Di Marco

• Lukas Edman

• Alexander Fraser

• Kathy Hämmerl

• Shu Okabe

All good vibes,

Daryna Dementieva

On behalf of LLMs with Limited Resources Shared task organisers