Visual Question Answering On Plotqa D2 1
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| MatCha | 90.7 | MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering | |
| MatCha4096 + LaMenDa | 91.84 | Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA | - |
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