AR&D: A Framework for Retrieving and Describing Concepts for Interpreting AudioLLMs

Townim Faisal Chowdhury, Ta Duc Huy, Siqi Pan +2

Despite strong performance in audio perception tasks, large audio-language models (AudioLLMs) remain opaque to interpretation. A major factor behind this lack of interpretability i…