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cs.CV2026
MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering
Xianwei Mao, Kai Ye, Sheng Zhou +4
Knowledge-based Visual Question Answering (KB-VQA) requires models to answer questions by integrating visual information with external knowledge. However, retrieved knowledge is of…
cs.CV2025
MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
Gengliang Li, Rongyu Chen, Bin Li +2
Ensuring factual consistency and reliable reasoning remains a critical challenge for medical vision-language models. We introduce MEDFACT-R1, a two-stage framework that integrates…