LLMs repeat discourse tactics across turns more than humans in multi-turn empathy talks, and MINT training cuts repetition by 26% while boosting empathy by 25%.
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UNVERDICTED 2representative citing papers
TA-RAG is a prompt-based framework that operationalizes four tone components (stigma-free rewriting, readability, recipient adaptation, empathy) to improve RAG suitability for peer-support health communication.
citing papers explorer
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Discourse Diversity in Multi-Turn Empathic Dialogue
LLMs repeat discourse tactics across turns more than humans in multi-turn empathy talks, and MINT training cuts repetition by 26% while boosting empathy by 25%.
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TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication
TA-RAG is a prompt-based framework that operationalizes four tone components (stigma-free rewriting, readability, recipient adaptation, empathy) to improve RAG suitability for peer-support health communication.