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20242026
most citedEfficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation

7 citations · 7 across the 1 of their papers we have counts for

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cs.IR2026★ 7 cited

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…

cs.IR2025

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…