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20192023
most citedTable Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

14 citations · 54 across the 10 of their papers we have counts for

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cs.IR2022

TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data

Fan Zhou, Mengkang Hu, Haoyu Dong +3

Existing auto-regressive pre-trained language models (PLMs) like T5 and BART, have been well applied to table question answering by UNIFIEDSKG and TAPEX, respectively, and demonstr…

cs.IR2021★ 1 cited

FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining

Zhoujun Cheng, Haoyu Dong, Ran Jia +4

Tables store rich numerical data, but numerical reasoning over tables is still a challenge. In this paper, we find that the spreadsheet formula, which performs calculations on nume…