Preprint
Aug 2026
Analyzing and Mitigating Cross-Lingual Degradation in Multilingual Medical VQA
A multilingual medical VQA benchmark over eight languages is constructed, organized into four representative scenarios that isolate the core capabilities medical VQA requires, and a training-free scenario-aware representation engineering method is proposed, leveraging LVLMs's superior English medical VQA capability to steer non-English representations toward their English counterparts at inference time.
Jingbo Wang, Sendong Zhao, Haochun Wang et al.
· 0 citations