Tables are powerful and popular tools for organizing and manipulating data. A vast number
of tables can be found on the Web, which represent a valuable knowledge resource. The …

Large pre-trained language models such as GPT-3 [10], Codex [11], and Google's language
model [7] are now capable of generating code from natural language specifications of …

Foundation Models (FMs) are models trained on large corpora of data that, at very large
scale, can generalize to new tasks without any task-specific finetuning. As these models …

Language models, such as GPT-3.5 and ChatGPT, demonstrate remarkable abilities to
follow diverse human instructions and perform a wide range of tasks. However, when …

Entity matching (EM), also known as entity resolution, fuzzy join, and record linkage, refers to
the process of identifying records corresponding to the same real-world entities from …

Data management is indispensable for informed decision-making in the big data era. In the
meantime, Large Language Models (LLMs), equipped with billions of model parameters and …

Developers nowadays have to contend with a growing number of APIs. While in the long-
term they are very useful to developers, many modern APIs have an incredibly steep …

Data preparation is widely recognized as the most time-consuming process in modern
business intelligence (BI) and machine learning (ML) projects. Automating complex data …

Data quality affects machine learning (ML) model performances, and data scientists spend
considerable amount of time on data cleaning before model training. However, to date, there …

This paper explores the utilization of LLMs for data preprocessing (DP), a crucial step in the
data mining pipeline that transforms raw data into a clean format. We instruction-tune local …