3 papers
cs.AI2026
Physics-based phenomenological characterization of cross-modal bias in multimodal models
Hyeongmo Kim, Sohyun Kang, Yerin Choi +5
The term 'algorithmic fairness' is used to evaluate whether AI models operate fairly in both comparative (where fairness is understood as formal equality, such as "treat like cases…
cs.LG2026
FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
Hyunsuk Chung, Soyeon Caren Han, Caren Han +5
Multimodal foundation models integrate heterogeneous signals across modalities, yet it remains unclear whether their predictions can be controlled by explicitly modulating reliance…
cs.SD2024
Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech
Yerin Choi, Jeehyun Lee, Myoung-Wan Koo
Due to the subjective nature of current clinical evaluation, the need for automatic severity evaluation in dysarthric speech has emerged. DNN models outperform ML models but lack u…