Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)? 事件

Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)? arXiv:2605.30557v1 Announce Type: new Abstract: Spatial reasoning is a fundamental capability for vision-language models (VLMs) deployed in real-world environments. However, visual observations are inherently limited representations of a 3D world: occlusion can render objects invisible, and perspective can make geometric properties misleading. Despite this, existing spatial reasoning benchmarks typically assume t