Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language Models 事件

Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language Models arXiv:2606.05702v1 Announce Type: cross Abstract: Recent advancements in Vision-Language Models (VLMs) have significantly enhanced their ability to interpret complex visual semantics, yet their capacity for chronological reasoning remains under-explored. In this paper, we introduce a novel benchmark specifically designed to evaluate how VLMs perceive and reason about chronological information within