Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations.
| Anthology ID: | DBLP:conf/sigir/MovinH25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2276-2286 |
| URL: | https://doi.org/10.1145/3726302.3730119 |
| DOI: | https://doi.org/10.1145/3726302.3730119 |
| DBLP: | conf/sigir/MovinH25 |
| BibTeX: |
@inproceedings{movin-2025-zeroshot,
author = {Maria Movin and
Claudia Hauff},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {2276--2286},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730119},
doi = {https://doi.org/10.1145/3726302.3730119}
}