Leveraging LLMs for Unsupervised Dense Retriever Ranking.

Ekaterina Khramtsova|Ruichen Hou|Shengyao Zhuang|Xieqi Ji|Dabalgan Wang|Mahsa Baktashmotlagh|Ekaterina Khramtsova|Ruichen Hou|Guido Zuccon|Hugjil Ming|Shengyao Zhuang|Xieqi Ji|Dabalgan Wang|Mahsa Baktashmotlagh|Guido Zuccon|Hugjil Ming


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 Ruichen Hou and Shengyao Zhuang and Xieqi Ji and Dabalgan Wang and Mahsa Baktashmotlagh and Ekaterina Khramtsova and Ruichen Hou and Guido Zuccon and Hugjil Ming and Shengyao Zhuang and Xieqi Ji and Dabalgan Wang and Mahsa Baktashmotlagh and Guido Zuccon and Hugjil Ming}, 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} }