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} }