Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead.
Abdelrahman Abdallah|Jamie Holdcroft|Mohammed Ali|Adam Jatowt
| Anthology ID: | DBLP:conf/sigir/AbdallahHAJ26 |
|---|---|
| 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: | 2790-2800 |
| URL: | https://doi.org/10.1145/3805712.3808566 |
| DOI: | https://doi.org/10.1145/3805712.3808566 |
| DBLP: | conf/sigir/AbdallahHAJ26 |
| BibTeX: |
@inproceedings{abdallah-2026-llmbased,
author = {Abdelrahman Abdallah and
Jamie Holdcroft and
Mohammed Ali and
Adam Jatowt},
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 = {{Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {2790--2800},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808566},
doi = {https://doi.org/10.1145/3805712.3808566}
}