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LLMs can identify language ideologies even in low-resource languages like Luxembourgish, offering a new tool for understanding identity construction in multilingual societies.
Luxembourgish NLU is finally getting the attention it deserves with the launch of ltzGLUE, revealing critical insights into model performance and language capabilities.
Fine-tuning LLMs on social media data can improve the superficial style of generated comments but simultaneously degrade their semantic accuracy, revealing a critical disconnect between form and content.
Uncover hidden linguistic structure in "noisy" user comments with a novel subword embedding approach that reveals lexical and orthographic variations without any manual normalization.