Negation is reported as a non-separable signal in standard VLM embeddings, cross-modal attention recovers up to +7% F1, and the paper claims visual negation depends on textual context.
A machine-learning approach to negation and speculation detection for sentiment analysis,
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Learning to Detect Cross-Modal Negation: An Analysis of Latent Representations and an Attention-Based Solution
Negation is reported as a non-separable signal in standard VLM embeddings, cross-modal attention recovers up to +7% F1, and the paper claims visual negation depends on textual context.