AIBullisharXiv – CS AI · Mar 166/10
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Mastering Negation: Boosting Grounding Models via Grouped Opposition-Based Learning
Researchers introduced D-Negation, a new dataset and learning framework that improves vision-language AI models' ability to understand negative semantics and complex expressions. The approach achieved up to 5.7 mAP improvement on negative semantic evaluations while fine-tuning less than 10% of model parameters.