Explanation Generation On Whoops
Métriques
Human (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Human (%) | Paper Title | Repository |
|---|---|---|---|
| Predicted Caption -> GPT3 | 33 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| VLIS (LLaVA) | - | VLIS: Unimodal Language Models Guide Multimodal Language Generation | |
| BLIP2 FlanT5-XL (Fine-tuned) | 15 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| BLIP2 FlanT5-XXL (Fine-tuned) | 27 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| VLIS (Lynx) | - | VLIS: Unimodal Language Models Guide Multimodal Language Generation | |
| Ground-truth Caption -> GPT3 (Oracle) | 68 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| BLIP2 FlanT5-XXL (Zero-shot) | 0 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
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