most citedMAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models

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cs.LG2025

Insights into a radiology-specialised multimodal large language model with sparse autoencoders

Kenza Bouzid, Shruthi Bannur, Felix Meissen +4

Interpretability can improve the safety, transparency and trust of AI models, which is especially important in healthcare applications where decisions often carry significant conse…

cs.LG2024

Rethinking Fair Representation Learning for Performance-Sensitive Tasks

Charles Jones, Fabio de Sousa Ribeiro, Mélanie Roschewitz +2

We investigate the prominent class of fair representation learning methods for bias mitigation. Using causal reasoning to define and formalise different sources of dataset bias, we…