Leveraging LLMs for Unsupervised Dense Retriever Ranking.

Ekaterina Khramtsova|Shengyao Zhuang|Mahsa Baktashmotlagh|Guido Zuccon


Anthology ID:DBLP:conf/sigir/KhramtsovaZBZ24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1307-1317
URL:https://doi.org/10.1145/3626772.3657798
DOI:https://doi.org/10.1145/3626772.3657798
DBLP:conf/sigir/KhramtsovaZBZ24
BibTeX:
@inproceedings{khramtsova-2024-leveraging, author = {Ekaterina Khramtsova and Shengyao Zhuang and Mahsa Baktashmotlagh and Guido Zuccon}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Leveraging LLMs for Unsupervised Dense Retriever Ranking}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {1307--1317}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657798}, doi = {https://doi.org/10.1145/3626772.3657798} }