9 citations · 18 across the 4 of their papers we have counts for
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…
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang +2
Electronic health records (EHRs) are stored in various database systems with different database models on heterogeneous storage architectures, such as relational databases, documen…
ASAG2024: A Combined Benchmark for Short Answer Grading
Gérôme Meyer, Philip Breuer, Jonathan Fürst
Open-ended questions test a more thorough understanding than closed-ended questions and are often a preferred assessment method. However, open-ended questions are tedious to grade…