Zongxian Yang

Hyperbolic Relational Prompts for Intersectional Fairness in Medical VLMs

Ensuring fairness in medical vision-language models (VLMs) is essential for equitable healthcare, yet existing models amplify biases across demographic subgroups such as race and gender. Traditional fairness mitigation approaches relying on broad distribution alignment, fall short in addressing thes