A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision Language Models

arXiv:2402.18409v1 Announce Type: cross
Abstract: Large Vision Language Models (LVLMs), despite their recent success, are hardly comprehensively tested for their cognitive abilities. Inspired by the prevalent use of the "Cookie Theft" task in human cognition test, we propose a novel evaluation benchmark to evaluate high-level cognitive ability of LVLMs using images with rich semantics. It defines eight reasoning capabilities and consists of an image description task and a visual question answering task. Our evaluation on well-known LVLMs shows that there …

abstract arxiv benchmark cognition cognitive cookie cs.ai cs.cl cs.cv evaluation human image language language models novel reasoning success test theft type vision