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cs.SD2026
RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity
Gaia A. Bertolino, Yuwei Zhang, Tong Xia +2
As conversational multimodal AI tools are increasingly adopted to process patient data for health assessment, robust benchmarks are needed to measure progress and expose failure mo…
cs.SD2026
RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering
Gaia A. Bertolino, Yuwei Zhang, Tong Xia +2
Conversational generative AI is increasingly explored in healthcare, where models must integrate heterogeneous patient signals and support diverse interaction styles while producin…
cs.SD2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
Yuwei Zhang, Tong Xia, Jing Han +6
Respiratory audio, such as coughing and breathing sounds, has predictive power for a wide range of healthcare applications, yet is currently under-explored. The main problem for th…