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20232025
most citedEnhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection

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cs.CV2025

Benchmarking Visual LLMs Resilience to Unanswerable Questions on Visually Rich Documents

Davide Napolitano, Luca Cagliero, Fabrizio Battiloro

The evolution of Visual Large Language Models (VLLMs) has revolutionized the automatic understanding of Visually Rich Documents (VRDs), which contain both textual and visual elemen…