RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering

ArXi:2603.06542v1 Announce Type: cross Conversational generative AI is rapidly entering healthcare, where general-purpose models must integrate heterogeneous patient signals and diverse interaction styles while producing clinically meaningful outputs. In respiratory care, non-invasive audio, such as recordings captured via mobile microphones, enables scalable screening and longitudinal monitoring, but the heterogeneity challenge is particularly acute: recordings vary widely across devices, environments, and acquisition protocols, and questions span multiple intents and question formats.