From Distillation to Hard Negative Sampling: Making Sparse Neural IR
Models More Effective

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective

10 May 2022

Thibault Formal

Carlos Lassance

Benjamin Piwowarski

Papers citing "From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective"

9 / 59 papers shown

Title
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning Yue Yu Chenyan Xiong Si Sun Chao Zhang Arnold Overwijk VLM OOD 35 22 0 27 Oct 2022
Zero-Shot Retrieval with Search Agents and Hybrid Environments Michelle Chen Huebscher Christian Buck Massimiliano Ciaramita S. Rothe 24 9 0 30 Sep 2022
UnifieR: A Unified Retriever for Large-Scale Retrieval Tao Shen Xiubo Geng Chongyang Tao Can Xu Guodong Long Kai Zhang Daxin Jiang RALM 21 28 0 23 May 2022
Towards Best Practices for Training Multilingual Dense Retrieval Models Xinyu Crystina Zhang Kelechi Ogueji Xueguang Ma Jimmy J. Lin RALM 24 34 0 05 Apr 2022
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 126 248 0 14 Oct 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 155 329 0 12 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 229 964 0 17 Apr 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-Hong Wu Haifeng Wang RALM OffRL 209 593 0 16 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