Papers with lower-capacity models

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One More Modality: Does Abstract Meaning Representation Benefit Visual Question Answering? (2025.findings-emnlp)

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Challenge: incorporating explicit semantic information, in the form of Abstract Meaning Representation graphs, can enhance VQA models.
Approach: They augment two vision-language models with sentence- and document-level AMRs . they find that in well-resourced settings, models are negatively impacted by AMR .
Outcome: The proposed model improves in well-resourced and low-resource settings with AMR graphs . the model achieves 13.1% relative gain using sentence-level AMRs compared with the smaller model .

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