A Thorough Examination on Zero-shot Dense Retrieval

27 April 2022

Papers citing "A Thorough Examination on Zero-shot Dense Retrieval"

7 / 7 papers shown

Title
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval Shicheng Xu Liang Pang Huawei Shen Xueqi Cheng 8 11 0 18 May 2023
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking Ruiyang Ren Yingqi Qu Jing Liu Wayne Xin Zhao Qiaoqiao She Hua-Hong Wu Haifeng Wang Ji-Rong Wen 124 247 0 14 Oct 2021
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? Xilun Chen Kushal Lakhotia Barlas Oğuz Anchit Gupta Patrick Lewis Stanislav Peshterliev Yashar Mehdad Sonal Gupta Wen-tau Yih 48 68 0 13 Oct 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval Ruiyang Ren Shangwen Lv Yingqi Qu Jing Liu Wayne Xin Zhao Qiaoqiao She Hua-Hong Wu Haifeng Wang Ji-Rong Wen 118 90 0 13 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 961 0 17 Apr 2021
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks Nandan Thakur Nils Reimers Johannes Daxenberger Iryna Gurevych 200 241 0 16 Oct 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