Papers by Nikesh Subedi
ChartCheck: Explainable Fact-Checking over Real-World Chart Images (2024.findings-acl)
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| Challenge: | Data visualizations are often used to summarize and communicate key information, but they can also be misused to spread misinformation and promote agendas. |
| Approach: | They propose a dataset for explainable fact-checking against real-world charts that uses vision-language and chart-to-table models to evaluate the validity of the dataset. |
| Outcome: | The proposed model is based on vision-language and chart-to-table models and proposes a baseline to the community. |