Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs,
and various other document types, a flurry of table pre-training frameworks have been …

Spreadsheets are one of the most widely used programming environments, and are widely
deployed in domains like finance where errors can have catastrophic consequences. We …

Spreadsheet formula prediction has been an important program synthesis problem with
many real-world applications. Previous works typically utilize input-output examples as the …

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 numerical …

Writing formulas on spreadsheets, such as Microsoft Excel and Google Sheets, is a
widespread practice among users performing data analysis. However, crafting formulas on …

Given a single column of values, existing approaches typically employ regex-like rules to
detect errors by finding anomalous values inconsistent with others. Such techniques make …

We introduce SpreadsheetBench, a challenging spreadsheet manipulation benchmark
exclusively derived from real-world scenarios, designed to immerse current large language …

Context: Databases are an integral element of enterprise applications. Similarly to code,
database schemas are also prone to smells-best practice violations. Objective: We aim to …

Spreadsheets are widely used in various business tasks, and contain amounts of valuable
data. However, spreadsheet tables are usually organized in a semi-structured way, and …

Spreadsheets are widely used in organizations for various purposes such as data
aggregation, reporting and decision-making. Since spreadsheets, like other types of …