3 papers
cs.SD2025
Data-Balanced Curriculum Learning for Audio Question Answering
Gijs Wijngaard, Elia Formisano, Michele Esposito +1
Audio question answering (AQA) requires models to understand acoustic content and perform complex reasoning. Current models struggle with dataset imbalances and unstable training d…
cs.IR2025
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies
Komal Gilani, Marlo Verket, Christof Peters +3
The standardization of clinical data elements (CDEs) aims to ensure consistent and comprehensive patient information across various healthcare systems. Existing methods often falte…
cs.SD2025
AudSemThinker: Enhancing Audio-Language Models through Reasoning over Semantics of Sound
Gijs Wijngaard, Elia Formisano, Michele Esposito +1
Audio-language models have shown promising results in various sound understanding tasks, yet they remain limited in their ability to reason over the fine-grained semantics of sound…