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Augmenting Document Representations for Dense Retrieval with
  Interpolation and Perturbation

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation

15 March 2022
Soyeong Jeong
Jinheon Baek
Sukmin Cho
Sung Ju Hwang
Jong C. Park
ArXivPDFHTML

Papers citing "Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation"

4 / 4 papers shown
Title
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
229
966
0
17 Apr 2021
Rider: Reader-Guided Passage Reranking for Open-Domain Question
  Answering
Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering
Yuning Mao
Pengcheng He
Xiaodong Liu
Yelong Shen
Jianfeng Gao
Jiawei Han
Weizhu Chen
OOD
LRM
134
37
0
01 Jan 2021
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
191
286
0
23 Oct 2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for
  Open-Domain Question Answering
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
214
593
0
16 Oct 2020
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