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

"daryna.dementieva--- via Corpora" <[email protected]> Thu, 18 Jun 2026 13:58:12 -0000
Newsgroups gmane.science.linguistics.corpora
Message-ID <[email protected]>
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.com
Google Group: https://groups.google.com/g/llms-with-limited-resources-2026?utm_source=chatgpt.com

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
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