Our WMT 2026 Shared Task on Multitask LLMs with Limited Resources, co-located with EMNLP 2026 is entering the second phase!
Task website: https://www2.statmt.org/wmt26/limited-resources-llm.html?utm_source=chatgpt.... Google Group: https://groups.google.com/g/llms-with-limited-resources-2026?utm_source=chat...
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), andLower 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 * Math Reasoning (new) * Spell Checking (new) * Grammar Checking (new)
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: Now! * 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.
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