Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations.

Maria Movin|Claudia Hauff


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} }