PlanBench-V is a new benchmark and dataset for evaluating VLMs on spatial planning map interpretation via a four-stage framework of Perception, Reasoning, Association, and Implementation.
Charting new territories: Exploring the geographic and geospatial capabilities of multimodal llms
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Vision-language models display large performance differences and clear limits in zero-shot country-level geolocalization from ground-view photos, with semantic cues helping coarse guesses but failing on fine details.
citing papers explorer
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PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models
PlanBench-V is a new benchmark and dataset for evaluating VLMs on spatial planning map interpretation via a four-stage framework of Perception, Reasoning, Association, and Implementation.
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Where Do Vision-Language Models Fail? World Scale Analysis for Image Geolocalization
Vision-language models display large performance differences and clear limits in zero-shot country-level geolocalization from ground-view photos, with semantic cues helping coarse guesses but failing on fine details.