2 papers
cs.CL2025
Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
Elias Lumer, Matt Melich, Olivia Zino +6
Recent advancements in Retrieval-Augmented Generation (RAG) have enabled Large Language Models to answer financial questions using external knowledge bases of U.S. SEC filings, ear…
cs.CL2025
Context Selection and Rewriting for Video-based Educational Question Generation
Mengxia Yu, Bang Nguyen, Olivia Zino +1
Educational question generation (EQG) is a crucial component of intelligent educational systems, significantly aiding self-assessment, active learning, and personalized education.…