Supervised tabular models on linguistic features and embeddings outperform zero-shot LLMs for multilingual cognitive impairment detection from speech transcripts, with language-dependent few-shot gains.
Task and Data We study binary classification of CI (AD or MCI, depending on the dataset) versus HC from speech- derived inputs
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Multilingual Cognitive Impairment Detection in the Era of Foundation Models
Supervised tabular models on linguistic features and embeddings outperform zero-shot LLMs for multilingual cognitive impairment detection from speech transcripts, with language-dependent few-shot gains.