Scientific Question Answering using Hybrid Retrieval Augmented Generation

Appeared in: Open Search Symposium 2025, 8-10 October 2025, CSC IT Center for Science, Helsinki, Finland.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17238529
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Scientific Question Answering using Hybrid Retrieval Augmented Generation

Zenodo (CERN European Organization for Nuclear Research)
Expert finding and Q&A systems
article

Scientific Question Answering using Hybrid Retrieval Augmented Generation

article en

Abstract

Appeared in: Open Search Symposium 2025, 8-10 October 2025, CSC IT Center for Science, Helsinki, Finland.

Zenodo (CERN European Organization for Nuclear Research)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Software (Germany) (DE)
Openalex Percentile: Top 32%
Expert finding and Q&A systems
DOIOpen Access PDFOpenAlex
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Scientific Question Answering using Hybrid Retrieval Augmented Generation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS