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LMU Munich, Germany, Munich Center for Machine Learning, Germany
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Luxembourgish NLU is finally getting the attention it deserves with the launch of ltzGLUE, revealing critical insights into model performance and language capabilities.
LLMs often fail to access knowledge uniquely available in lower-resource language varieties, even when closely related to high-resource languages, revealing a significant information asymmetry.
Even state-of-the-art multilingual transformers struggle with the pragmatic challenge of Indirect Question Answering, achieving low performance across English, German, and Bavarian.
