M-ArtAgent applies a falsification-governed multimodal agent with StyleComparator and ConceptRetriever operators to implicit art influence discovery and reports 83.7% F1 on the WIB-100 benchmark.
Benchmarking vision language models for cultural understanding,
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M-ArtAgent: Evidence-Based Multimodal Agent for Implicit Art Influence Discovery
M-ArtAgent applies a falsification-governed multimodal agent with StyleComparator and ConceptRetriever operators to implicit art influence discovery and reports 83.7% F1 on the WIB-100 benchmark.