BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A.

Samy Ateia|Udo Kruschwitz


Anthology ID:DBLP:conf/ecir/AteiaK25
Volume:Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V
Year:2025
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:1-5
URL:https://doi.org/10.1007/978-3-031-88720-8_1
DOI:https://doi.org/10.1007/978-3-031-88720-8_1
DBLP:conf/ecir/AteiaK25
BibTeX:
@inproceedings{ateia-2025-bioragent, author = {Samy Ateia and Udo Kruschwitz}, editor = {Claudia Hauff and Craig Macdonald and Dietmar Jannach and Gabriella Kazai and Franco Maria Nardini and Fabio Pinelli and Fabrizio Silvestri and Nicola Tonellotto}, title = {{BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A}}, booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V}}, series = {Lecture Notes in Computer Science}, volume = {15576}, pages = {1--5}, publisher = {Springer}, year = {2025}, url = {https://doi.org/10.1007/978-3-031-88720-8_1}, doi = {https://doi.org/10.1007/978-3-031-88720-8_1} }