4 papers
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
Linus Stuhlmann, Michael Alexander Saxer, Jonathan Fürst
Biomedical question-answering (QA) systems require effective retrieval and generation components to ensure accuracy, efficiency, and scalability. This study systematically examines…
Multi-Modal Data Exploration via Language Agents
Farhad Nooralahzadeh, Yi Zhang, Jonathan Furst +1
International enterprises, organizations, and hospitals collect large amounts of multi-modal data stored in databases, text documents, images, and videos. While there has been rece…
VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
Daniel Huwiler, Kurt Stockinger, Jonathan Fürst
Retrieval-Augmented Generation (RAG) systems fail when documents evolve through versioning-a ubiquitous characteristic of technical documentation. Existing approaches achieve only…
Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
Jonathan Fürst, Catherine Kosten, Farhad Nooralahzadeh +2
Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly popular solution for bridging the gap between user capabilities and SQL-based data access. These s…