VisLLM-Map: Extending 2D maps for visual question answering via the integration of multimodal large language models and street view images

王 芷韵

doi:10.6084/m9.figshare.34059585.v1

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VisLLM-Map: Extending 2D maps for visual question answering via the integration of multimodal large language models and street view images · Researchar

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VisLLM-Map: Extending 2D maps for visual question answering via the integration of multimodal large language models and street view images

王芷韵 · Figshare 2026 · 2026

DOI: 10.6084/m9.figshare.34059585.v1

0citations

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval TechniquesTopic ModelingQuestion answeringComputer scienceArtificial intelligence+2

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Synced 2026-10-04T02:31:10.757691Z

0OpenAlex · primary0Semantic Scholar0Crossref

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

Abstract

We propose VisLLM-Map, a framework that integrates multimodal large language models with street-level imagery for intelligent map analysis.

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