How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation.
Chase M. Fensore|Kaustubh D. Dhole|Jason Fan|Eugene Agichtein|Joyce C. Ho
| Anthology ID: | DBLP:conf/sigir/FensoreDFAH26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3715-3720 |
| URL: | https://doi.org/10.1145/3805712.3809925 |
| DOI: | https://doi.org/10.1145/3805712.3809925 |
| DBLP: | conf/sigir/FensoreDFAH26 |
| BibTeX: |
@inproceedings{fensore-2026-finegrained,
author = {Chase M. Fensore and
Kaustubh D. Dhole and
Jason Fan and
Eugene Agichtein and
Joyce C. Ho},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3715--3720},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809925},
doi = {https://doi.org/10.1145/3805712.3809925}
}