Neural ranking models for document retrieval

23 February 2021

Papers citing "Neural ranking models for document retrieval"

8 / 8 papers shown

Title
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition Zheng Yao Shuai Wang Guido Zuccon 21 0 0 12 May 2025
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation Shuai Wang Ekaterina Khramtsova Shengyao Zhuang Guido Zuccon 34 11 0 19 Feb 2024
Topics in Contextualised Attention Embeddings Mozhgan Talebpour A. G. S. D. Herrera Shoaib Jameel 34 2 0 11 Jan 2023
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis Sumit Shekhar Bhanu Prakash Reddy Guda Ashutosh Chaubey Ishan Jindal Avanish Jain 33 0 0 01 Oct 2021
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker Ruizhi Pu Xinyu Zhang Ruofei Lai Zikai Guo Yinxia Zhang Hao Jiang Yongkang Wu Yantao Jia Zhicheng Dou Bo Zhao 26 1 0 14 Sep 2021
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua Wu Haifeng Wang RALM OffRL 214 595 0 16 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 244 612 0 13 Oct 2020
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 320 31,297 0 16 Jan 2013