The 6th edition of our workshop will be co-located with EMNLP in Budapest, Hungary!
Joined July 2025
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After the enthusiasm of the shared task last year, we are running another shared task to create a community-made, culturally relevant multilingual benchmark! The deadline to contribute is August 1 AoE. See more details below.
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After the enthusiasm of the shared task last year, we are running another shared task to create a community-made, culturally relevant multilingual benchmark! The deadline to contribute is August 1 AoE. See more details below.
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You can fill in this form to receive updates on the project and get information about how to get involved: docs.google.com/forms/d/e/1F…
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See the full task description and information about how to contribute on our website: mrlbenchmarks.github.io/. We look forward to building this dataset together!
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We are releasing an expanded version of Global PIQA! It now covers 141 language varieties and includes parallel and non-parallel splits. We are also releasing an updated preprint.
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Thank you to all of the authors who made this dataset possible!
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Check out the dataset now:
Preprint: arxiv.org/abs/2510.24081
Datasets: huggingface.co/mrlbenchmarks
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📢 Call for Papers:
6th Multilingual Representation Learning Workshop at EMNLP in Budapest, Hungary!
Join us and submit your works relating to multilingual NLP
Speakers to be announced, so stay tuned! 👀
More info in the CFP:
🔗 sigtyp.github.io/ws2026-mrl.…
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Organizers: @davlanade, @crystina_z, @Jirui_Qi,@cmdowney, @gentaiscool, Senyu Li, @alabi_jesujoba, @linguist_cat, @tylerachang, @davidstap, @ljvmiranda
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Announcing the two Best Paper Awards for this year’s workshop. Congratulations to all the authors for your great work!
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This afternoon, @linguist_cat presented the result of the shared task and presented the best contribution awards. Congratulations to all contributors!
Introducing Global PIQA, a new multilingual benchmark for 100 languages. This benchmark is the outcome of this year’s MRL shared task, in collaboration with 300 researchers from 65 countries. This dataset evaluates physical commonsense reasoning in culturally relevant contexts.
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The second is 7PERFECTION, a dataset for seven Nigerian languages!
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Finally, we recognize the Hawaiian submission to the shared task. Thank you for your contributions!
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