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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.
