Retrieval-augmented LLaVA is applied to GNSS interference classification, but the reported accuracy is unvalidated because query prompts contain the true labels.
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks,
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Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization
Retrieval-augmented LLaVA is applied to GNSS interference classification, but the reported accuracy is unvalidated because query prompts contain the true labels.