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Visual Question Answering Vqa On Ai2D
Métriques
EM
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| SMoLA-PaLI-X Specialist Model | 82.5 | Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts |
| SMoLA-PaLI-X Generalist Model | 81.4 | Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts |
| Gemini Ultra | 79.5 | Gemini: A Family of Highly Capable Multimodal Models |
| DUBLIN | 51.11 | DUBLIN -- Document Understanding By Language-Image Network |
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