Multimodal Question Answering on Aggregate (Open-WikiTable, 2WikiMQA, InfoSeek, Dyn-VQA, TabFact, WebQA)
55.93Average ScoreMoRE-7B
Evaluation results
| Method | Links | |
|---|---|---|
| MoRE-7BExperts=All2025.05 | 55.93 | |
| MoRE-3BExperts=All2025.05 | 54.37 | |
| IterRetGenExperts=All2025.05 | 48.29 | |
| IterRetGenExperts=Table2025.05 | 45.52 | |
| Vanilla RAGExperts=All2025.05 | 43.84 | |
| CogPlannerExperts=All2025.05 | 43.76 | |
| IterRetGenExperts=Text2025.05 | 42.49 | |
| R1-Distill-Qwen-32BExperts=-2025.05 | 41.7 | |
| IterRetGenExperts=Image2025.05 | 40.94 | |
| Vanilla RAGExperts=Table2025.05 | 40.76 | |
| Qwen2.5-VL-7BExperts=-2025.05 | 40.53 | |
| UniversalRAGExperts=All2025.05 | 38.84 | |
| Vanilla RAGExperts=Image2025.05 | 37.01 | |
| Vanilla RAGExperts=Text2025.05 | 36.16 | |
| IRCoTExperts=All2025.05 | 28.32 | |
| MMSearch-R1²Experts=All2025.05 | 26.28 | |
| OmniSearchExperts=All2025.05 | 23.24 | |
| IRCoTExperts=Table2025.05 | 21.93 | |
| Search-O1Experts=Text2025.05 | 19.86 | |
| IRCoTExperts=Image2025.05 | 19.82 | |
| IRCoTExperts=Text2025.05 | 19.21 | |
| MMSearch-R1¹Experts=All2025.05 | 10.57 |