Meihong Pan

Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering

Medical visual question answering models often face potential train-test distribution shifts that hinder generalization across unseen imaging and linguistic patterns. To address this challenge, we propose a dual-level confidence based framework (DuCoR) that achieves implicit self-refinement through