https://aclanthology.org/2020.findings-emnlp.249/
Cross-Lingual Training of Neural Models for Document Ranking - ACL Anthology
Peng Shi, He Bai, Jimmy Lin. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.
document rankingcrosslingualtrainingneural
https://openreview.net/forum?id=SJ1nzBeA-
Multi-Task Learning for Document Ranking and Query Suggestion | OpenReview
We propose a multi-task learning framework to jointly learn document ranking and query suggestion for web search. It consists of two major components, a...
multi task learningdocument rankingquerysuggestionopenreview
https://www.amazon.science/publications/sdr-efficient-neural-re-ranking-using-succinct-document-representation
SDR: Efficient neural re-ranking using succinct document representation - Amazon Science
BERT based ranking models have achieved superior performance on various information retrieval tasks. However, the large number of parameters and complex...
sdrefficientneuralranking
https://aclanthology.org/2023.findings-acl.416/
Towards Imperceptible Document Manipulations against Neural Ranking Models - ACL Anthology
Xuanang Chen, Ben He, Zheng Ye, Le Sun, Yingfei Sun. Findings of the Association for Computational Linguistics: ACL 2023. 2023.
towardsimperceptibledocumentmanipulationsneural