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A Fresh Take on Stale Embeddings: Improving Dense Retriever Training
  with Corrector Networks

A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks

3 September 2024
Nicholas Monath
Will Grathwohl
Michael Boratko
Rob Fergus
Andrew McCallum
Manzil Zaheer
ArXivPDFHTML

Papers citing "A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks"

2 / 2 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
234
971
0
17 Apr 2021
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
594
0
16 Oct 2020
1