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 ...
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Can the users of financial statements and annual reports rely upon the charts in them for accuracy? A sample of 50 public companies’ yearly reports collected by the author found that 86% had at least ...
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 ...
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