2 papers
cs.IR2025
Creating a Taxonomy for Retrieval Augmented Generation Applications
Irina Nikishina, Ãzge Sevgili, Mahei Manhai Li +2
In this research, we develop a taxonomy to conceptualize a comprehensive overview of the constituting characteristics that define retrieval augmented generation (RAG) applications,…
cs.LG2024
Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data
Fabian Sven Karst, Sook-Yee Chong, Abigail A. Antenor +3
The banking sector faces challenges in using deep learning due to data sensitivity and regulatory constraints, but generative AI may offer a solution. Thus, this study identifies e…