3 papers
cs.DB2025
A Robust and Efficient Pipeline for Enterprise-Level Large-Scale Entity Resolution
Sandeepa Kannangara, Arman Abrahamyan, Daniel Elias +5
Entity resolution (ER) remains a significant challenge in data management, especially when dealing with large datasets. This paper introduces MERAI (Massive Entity Resolution using…
cs.LG2025
FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff
Andy Hu, Devika Prasad, Luiz Pizzato +5
In machine learning, the process of feature selection involves finding a reduced subset of features that captures most of the information required to train an accurate and efficien…
q-fin.ST2024
Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model
Harris Borman, Anna Leontjeva, Luiz Pizzato +2
Large Language Models (LLMs) have demonstrated the ability to adopt a personality and behave in a human-like manner. There is a large body of research that investigates the behavio…