SOURCE-LINKED INTELLIGENCE

Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Reasoning over language instructions in embodied tasks such as robotics often requires understanding spatial relations from a speaker's situated perspective. Humans infer such perspectives from shared environmental knowledge, activity context, and commonsense. Recent vision-language models (VLMs) appear capable of spatial reasoning, but their ability to infer a speaker's viewpoint from contextual cues and interpret situated spatial relations from that viewpoint remains unclear. We call this capability contextual observer grounding. To study this capability, we construct the Point-of-View Bench

Read original source ↗ Open in workspace

recordType

paper

region

Global