medical VQA benchmarks

The 'medical VQA benchmarks' consist of datasets used to evaluate the performance of medical Vision-Language Models (VLMs) on tasks that require visual reasoning and analysis in clinical contexts.

Papers using medical VQA benchmarks (3)

MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning2026ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models2026To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models2026