Learning List-Level Domain-Invariant Representations for Ranking

Learning List-Level Domain-Invariant Representations for Ranking

21 December 2022

Zhen Qin

Michael Bendersky

Papers citing "Learning List-Level Domain-Invariant Representations for Ranking"

8 / 8 papers shown

Title
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers Fang Guo Wenyu Li Honglei Zhuang Yun Luo Yafu Li Qi Zhu Le Yan Yue Zhang ALM 65 6 0 18 Apr 2024
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations Ji Xin Chenyan Xiong A. Srinivasan Ankita Sharma Damien Jose Paul N. Bennett VLM 78 41 0 14 Oct 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 964 0 17 Apr 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models Ronak Pradeep Rodrigo Nogueira Jimmy J. Lin MoE 57 166 0 14 Jan 2021
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision Si Sun Yingzhuo Qian Zhenghao Liu Chenyan Xiong Kaitao Zhang Jie Bao Zhiyuan Liu Paul N. Bennett 36 18 0 29 Dec 2020
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-Hong Wu Haifeng Wang RALM OffRL 209 593 0 16 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 219 608 0 13 Oct 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 174 464 0 17 Mar 2020