Table Question Answering on WikiTable Questions (WTQ)
88.89AccuracyQwen3-VL-8B + TABQAWORLD
Evaluation Results
| Method | Links | |
|---|---|---|
| Qwen3-VL-8B + TABQAWORLDStrategy=Training-free Agent2026.04 | 88.89 | |
| Qwen3-VL-8BModality=Image2026.04 | 81.82 | |
| TabTrim-8BStrategy=Trained Trajectory Optimization2026.04 | 79.4 | |
| TabTrim-4BStrategy=Trained Trajectory Optimization2026.04 | 76.8 | |
| CIT-DPStrategy=Training-free Agent, Backbone=GPT3.52026.04 | 76.4 | |
| TIDEStrategy=Training-free Agent, Backbone=GPT3.52026.04 | 75 | |
| Mix-SCStrategy=Training-free Agent, Backbone=GPT3.52026.04 | 73.7 | |
| TableDART (TG2-7B+Ovis2-8B)Strategy=Dynamic Adaptive Routing2026.04 | 70.58 | |
| Qwen2.5-VL-7B + TABQAWORLDStrategy=Training-free Agent2026.04 | 70.2 | |
| DS-Q14B + TATTOO (Qwen3-8B)Strategy=Trained Trajectory Optimization2026.04 | 69.8 | |
| TableDART (TG2-7B+Qwen2.5-VL-7B)Strategy=Dynamic Adaptive Routing2026.04 | 69.29 | |
| DS + Qwen2.5-Math-PRM-72BStrategy=Trained Trajectory Optimization2026.04 | 69.2 | |
| InstructRAGtrained_on=Pop dataset2026.02 | 68.57 | |
| CoRAG2026.02 | 68.11 | |
| ReAcTableStrategy=Training-free Agent, Backbone=GPT3.52026.04 | 68 | |
| DATERStrategy=Training-free Agent, Backbone=GPT3.52026.04 | 65.9 | |
| Gemini 2.0 FlashModality=Multimodal2026.04 | 63.56 | |
| TableGPT2-7B (Text-only Path)Strategy=Dynamic Adaptive Routing2026.04 | 61.42 | |
| Ovis2-8B (Image-only Path)Strategy=Dynamic Adaptive Routing2026.04 | 58.76 | |
| HIPPO-8BModality=Multimodal2026.04 | 55.77 | |
| Qwen2.5-VL-7BModality=Image2026.04 | 54.37 | |
| Llama32026.02 | 49.1 | |
| MiniCPM-V-2.6-8BModality=Image2026.04 | 47.97 | |
| SynTab-LLaVA-7BModality=Image2026.04 | 39.59 | |
| TableLlama-7BModality=Text2026.04 | 24.97 | |
| Llama3-Instruct-8BModality=Text2026.04 | 21.24 | |
| Table-LLaVA-7BModality=Image2026.04 | 18.43 | |
| Llama-2-7BModality=Text2026.04 | 16.39 |