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