most citedInstruction Tuning and CoT Prompting for Contextual Medical QA with LLMs

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cs.SD2026

Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features

Chenqian Le, Ruisi Li, Beatrice Fumagalli +6

We test whether Speech Articulatory Coding (SPARC) features can linearly predict surface electromyography (sEMG) envelopes across aloud, mimed, and subvocal speech in twenty-four s…