MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio 事件

MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio arXiv:2605.00969v2 Announce Type: replace-cross Abstract: Medical audio data is difficult to collect due to privacy regulations and high annotation costs arising from domain expertise. Thus, existing benchmarks tend to underrepresent complex medical audio scenarios. To address this challenge, we present MedMosaic, a medical audio question-answering dataset designed to benchmark language and audio reasoning models under real