Recent methods based on pre-trained language models have exhibited superior
performance over tabular tasks (eg, tabular NLI), despite showing inherent problems such …

Note: This paper includes examples of potentially offensive content related to religious bias,
presented solely for academic purposes. The widespread adoption of language models …

Transformers achieve state-of-the-art accuracy and robustness across many tasks, but an
understanding of the inductive biases that they have and how those biases are different from …

Semi-structured tabular data, such as ones in e-commerce product descriptions, annual
financial reports, sports score statistics, scientific articles, etc., are ubiquitous in real-world …