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SotA/Natural Language Processing/Visual Question Answering (VQA)/PlotQA

Visual Question Answering (VQA) on PlotQA

Metric: 1:1 Accuracy (higher is better)

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#Model↕1:1 Accuracy▼Extra DataPaperDate↕Code
1MatCha4096 + LaMenDa92.89No---
2MatCha91.5NoMatCha: Enhancing Visual Language Pretraining wi...2022-12-19Code
3DePlot+FlanPaLM+Codex (PoT Self-Consistency)66.6NoDePlot: One-shot visual language reasoning by pl...2022-12-20Code
4VL-T5-OCR66NoChartQA: A Benchmark for Question Answering abou...2022-03-19Code
5CRCT55.7NoClassification-Regression for Chart Comprehension2021-11-29Code
6VisionTapas-OCR53.9NoChartQA: A Benchmark for Question Answering abou...2022-03-19Code