TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

In three linesTA-RAG is a lightweight prompt-based RAG framework embedding tone control into RAG pipelines without fine-tuning. It operationalizes tone through four components: stigma-free rewriting, readability adjustment, recipient adaptation, and empathy rephrasing. Evaluated on HIV peer-support data (HOLA, NAPWHA), it improves communication quality while preserving content.

Summary generated by Claude — human-verified