Whether the goal is to estimate the number of people that live in a congressional district, to
estimate the number of individuals that have died in an armed conflict, or to disambiguate …

Can AI help automate human-easy but computer-hard data preparation tasks that burden
data scientists, practitioners, and crowd workers? We answer this question by presenting …

We introduce Saga, a next-generation knowledge construction and serving platform for
powering knowledge-based applications at industrial scale. Saga follows a hybrid batch …

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 …

Abstract Knowledge graphs (KGs) serve as the backbone of many applications such as
recommendation systems and question answering. All these applications require reasoning …

Cloud key-value (KV) stores provide businesses with a cost-effective and adaptive
alternative to traditional on-premise data management solutions. KV stores frequently …

Knowledge Graphs (KGs) are a major asset for companies thanks to their great flexibility in
data representation and their numerous applications, eg, vocabulary sharing, Q/A or …

" Bad" data has a direct impact on 88% of companies, with the average company losing 12%
of its revenue due to it. Duplicates-multiple but different representations of the same real …

The emergence of learned indexes has caused a paradigm shift in our perception of
indexing by considering indexes as predictive models that estimate keys' positions within a …

Knowledge Graphs (KGs) are a major asset for companies thanks to their great flexibility in
data representation and their numerous applications, eg, vocabulary sharing, Q/A or …