Tag
This paper introduces OCT-Bench, a comprehensive benchmark for evaluating multimodal large language models on OCT image understanding, comprising 10,076 questions across 20 fine-grained tasks in perception, cognition, and reasoning. Evaluation of 20 models shows current MLLMs fall short of reliable OCT understanding.