Papers by Kazi Shaharair Sharif

1 papers
DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation (2026.findings-acl)

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Challenge: Simulating dementia patients with large language models is challenging due to the need to model cognitive impairment, emotional dynamics, and nonverbal behaviors over long conversations.
Approach: They propose an expert-guided dementia dialogue agent for multi-turn patient simulation . they introduce a framework that trains a single LLM to jointly generate reasoning traces, patient utterances, and aligned behavioral actions .
Outcome: The proposed model outperforms baselines in persona fidelity, clinical validity, and educational effectiveness.

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