Systematic comparison of nine text-only and three multimodal LLMs using in-context learning, reasoning prompts, fine-tuning, and multimodal fusion on DementiaBank speech data finds class-centroid demonstrations and token-level fine-tuning most effective, with adapted open models matching or beating
Tackling the ADRESSO Challenge 2021: The MUET -RMIT System for Alzheimer’s Dementia Recognition from Spontaneous Speech
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Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies
Systematic comparison of nine text-only and three multimodal LLMs using in-context learning, reasoning prompts, fine-tuning, and multimodal fusion on DementiaBank speech data finds class-centroid demonstrations and token-level fine-tuning most effective, with adapted open models matching or beating