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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