Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?
Laura Dietz|Bryan Li|Eugene Yang|Dawn J. Lawrie|William Gantt Walden|James Mayfield
| Anthology ID: | DBLP:conf/ecir/DietzLYLWM26 |
|---|---|
| Volume: | Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I |
| Year: | 2026 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 582-597 |
| URL: | https://doi.org/10.1007/978-3-032-21289-4_37 |
| DOI: | https://doi.org/10.1007/978-3-032-21289-4_37 |
| DBLP: | conf/ecir/DietzLYLWM26 |
| BibTeX: |
@inproceedings{dietz-2026-insider,
author = {Laura Dietz and
Bryan Li and
Eugene Yang and
Dawn J. Lawrie and
William Gantt Walden and
James Mayfield},
editor = {Ricardo Campos and
Adam Jatowt and
Yanyan Lan and
Mohammad Aliannejadi and
Christine Bauer and
Sean MacAvaney and
Avishek Anand and
Zhaochun Ren and
Suzan Verberne and
Nan Bai and
Masoud Mansoury},
title = {{Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?}},
booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I}},
series = {Lecture Notes in Computer Science},
volume = {16483},
pages = {582--597},
publisher = {Springer},
year = {2026},
url = {https://doi.org/10.1007/978-3-032-21289-4_37},
doi = {https://doi.org/10.1007/978-3-032-21289-4_37}
}