Alabama won ugly in Athens with absurd third-down efficiency and just enough clock management to pull off the upset.
Abstract: Machine Learning models for chart-grounded Q&A (CQA) often treat charts as images, but performing CQA on pixel values has proven challenging. We thus investigate a resource overlooked by ...
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with ...
Abstract: This article presents a systematic study of the generalization of convolutional neural networks (CNNs) and humans on relational reasoning tasks with bar charts. We first revisit previous ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results