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Visual LLMs identify Swedish heritage buildings for renovation plans

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a method using visual large language models (LLMs) to identify buildings with heritage value in Sweden, analyzing over 154,000 street view images. This approach aims to support Swedish authorities in creating National Building Renovation Plans, as required by the EU's Energy Performance of Buildings Directive. The study highlights potential risks associated with using LLM-generated data for governance, including issues of transparency and error detection. AI

IMPACT Demonstrates a novel application of visual LLMs for identifying heritage buildings, potentially aiding policy implementation and urban planning.

RANK_REASON Academic paper detailing a novel application of LLMs for a specific research purpose. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Visual LLMs identify Swedish heritage buildings for renovation plans

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Academic paper detailing a novel application of LLMs for a specific research purpose. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Tim Johansson, Mikael Mangold, Kristina Dabrock, Anna Donarelli, Ingrid Campo-Ruiz ·

    Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications

    arXiv:2601.06056v2 Announce Type: replace-cross Abstract: During 2025 and 2026, the Energy Performance of Buildings Directive is being implemented in the European Union member states, requiring all member states to have National Building Renovation Plans. In Sweden, there is no c…

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