Fabrizio Battiloro

Benchmarking Visual LLMs Resilience to Unanswerable Questions on Visually Rich Documents

The evolution of Visual Large Language Models (VLLMs) has revolutionized the automatic understanding of Visually Rich Documents (VRDs), which contain both textual and visual elements. Although VLLMs excel in Visual Question Answering (VQA) on multi-page VRDs, their ability to detect unanswerable que