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News/Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition
arxiv
PublishedSeptember 22, 2026 at 4:00 AM
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Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition

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arXiv:2609.21879v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have recently been proposed as promising tools for face recognition, as they can produce natural language explanations alongside similarity scores. This capability is considered appealing for face comparisons in forensic

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