Multimodal Question Answering on Open-WikiTable
53.9F1 RecallMoRE-7B
Evaluation Results
| Method | Links | |
|---|---|---|
| MoRE-7BExperts=All2025.05 | 53.9 | |
| MoRE-3BExperts=All2025.05 | 53.85 | |
| Vanilla RAGExperts=Table2025.05 | 53.35 | |
| Vanilla RAGExperts=All2025.05 | 49.99 | |
| IRCoTExperts=All2025.05 | 39.44 | |
| IterRetGenExperts=All2025.05 | 38.95 | |
| IterRetGenExperts=Table2025.05 | 36.74 | |
| IRCoTExperts=Table2025.05 | 35.52 | |
| UniversalRAGExperts=All2025.05 | 31.12 | |
| R1-Distill-Qwen-32BExperts=-2025.05 | 22.75 | |
| Qwen2.5-VL-7BExperts=-2025.05 | 21.28 | |
| CogPlannerExperts=All2025.05 | 16.5 | |
| Vanilla RAGExperts=Text2025.05 | 15.38 | |
| IterRetGenExperts=Text2025.05 | 14.59 | |
| Vanilla RAGExperts=Image2025.05 | 13.77 | |
| IterRetGenExperts=Image2025.05 | 12.38 | |
| Search-O1Experts=Text2025.05 | 9.72 | |
| OmniSearchExperts=All2025.05 | 7.72 | |
| MMSearch-R1²Experts=All2025.05 | 7.43 | |
| MMSearch-R1¹Experts=All2025.05 | 6.5 | |
| IRCoTExperts=Text2025.05 | 5.78 | |
| IRCoTExperts=Image2025.05 | 5.32 |