MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model | ScienceToStartup | ScienceToStartup

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References (35)

[1]

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?

2026Azmine Toushik Wasi, Wahid Faisal et al.

[2]

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

2026Christopher Clark, Jieyu Zhang et al.

[3]

The Spatial Blindspot of Vision-Language Models

Founder's Pitch

"A new benchmark and training corpus for vision-language models to improve multi-hop spatial reasoning and visual grounding for embodied agents."

Vision-Language Models•Score: 7•View PDF ↗

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MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model

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References (35)

Founder's Pitch

"A new benchmark and training corpus for vision-language models to improve multi-hop spatial reasoning and visual grounding for embodied agents."

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MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model

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References (35)

Founder's Pitch

"A new benchmark and training corpus for vision-language models to improve multi-hop spatial reasoning and visual grounding for embodied agents."

Commercial Viability Breakdown

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