no code implementations • 17 Apr 2024 • Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
Towards addressing this gap, we introduce REQUAL-LM, a novel method for finding reliable and equitable LLM outputs through aggregation.
1 code implementation • 10 Apr 2024 • Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, Fatemeh Nargesian, Divesh Srivastava
Entity matching is one the earliest tasks that occur in the big data pipeline and is alarmingly exposed to unintentional biases that affect the quality of data.
1 code implementation • 6 Jul 2023 • Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava
Entity matching (EM) is a challenging problem studied by different communities for over half a century.
no code implementations • 22 Mar 2022 • Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish
Data-driven algorithms are only as good as the data they work with, while data sets, especially social data, often fail to represent minorities adequately.