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Found 6 papers, 4 papers with code
PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking
Inspired by human fact checkers, who use different types of evidence (e. g. tables, images, audio) in addition to text, several datasets with tabular evidence data have been released in recent years.
Croissant: A Metadata Format for ML-Ready Datasets
Data is a critical resource for Machine Learning (ML), yet working with data remains a key friction point.
ChartCheck: Explainable Fact-Checking over Real-World Chart Images
Whilst fact verification has attracted substantial interest in the natural language processing community, verifying misinforming statements against data visualizations such as charts has so far been overlooked.
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
Thus, understanding and reasoning with numbers are essential skills for language models to solve different tasks.
Multimodal Automated Fact-Checking: A Survey
In this survey, we conceptualise a framework for AFC including subtasks unique to multimodal misinformation.
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
Evidence data for automated fact-checking (AFC) can be in multiple modalities such as text, tables, images, audio, or video.
