Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication
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TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication
Announce Type: new Abstract: Retrieval-augmented generation (RAG) successfully grounds large language model (LLM) outputs in trusted documents, but factual grounding alone is insufficient for sensitive peer-support health communication. In domains such as HIV peer support, responses must also be accessible, stigma-free, empathetic, and tailored to the recipient. This paper presents TA-RAG, a lightweight, prompt-based tone-aware RAG framework that embeds explicit tone control into a RAG...