Sign inGet started
Paper · arXiv

4MT-VLM: How Coarse Is a VLMs Cognitive Map?

An agent that moves must recognise a place from a viewpoint it has never seen. We introduce 4MT-VLM, a dataset of procedurally generated landscapes, each rendered across five stimulus modes that remove appearance cues while holding layout fixed: shape and colour, shape only, colour only, bare terrain peaks with no objects, and a valley viewpoint that puts the peaks on the horizon. The last condition is commonly used in clinics to probe hippocampal function in human patients. We test this benchmark across sixteen different open and closed-source models and report 4AFC performance, a measure which is also used to grade human participants. We observe that models identify a place from the stu...

AuthorsMarkus Frey
Primary categorycs.CL
Published30 September 2026
Last updated at source30 September 2026
cs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/88cf952e-ad91-4097-9495-cae7c673bb34" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.