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Towards Robust Ranker for Text Retrieval

Towards Robust Ranker for Text Retrieval

16 June 2022
Yucheng Zhou
Tao Shen
Xiubo Geng
Chongyang Tao
Can Xu
Guodong Long
Binxing Jiao
Daxin Jiang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Towards Robust Ranker for Text Retrieval"

43 / 43 papers shown
Title
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation
Philip Hughes
Larry Burns
Luke Adams
VLM
71
0
0
27 Jan 2025
Fine-Grained Distillation for Long Document Retrieval
Fine-Grained Distillation for Long Document Retrieval
Yucheng Zhou
Tao Shen
Xiubo Geng
Chongyang Tao
Guodong Long
Can Xu
Daxin Jiang
RALM
56
30
0
20 Dec 2022
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
Kai Zhang
Chongyang Tao
Tao Shen
Can Xu
Xiubo Geng
Binxing Jiao
Daxin Jiang
RALM
55
25
0
29 Aug 2022
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self
  On-the-fly Distillation for Dense Passage Retrieval
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval
Yuxiang Lu
Yiding Liu
Jiaxiang Liu
Yunsheng Shi
Zhengjie Huang
...
Hao Tian
Hua Wu
Shuaiqiang Wang
Dawei Yin
Haifeng Wang
163
60
0
18 May 2022
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and
  Passage Re-ranking
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 Wu
Haifeng Wang
Ji-Rong Wen
272
255
0
14 Oct 2021
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a
  Sparse One?
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
115
69
0
13 Oct 2021
Adversarial Retriever-Ranker for dense text retrieval
Adversarial Retriever-Ranker for dense text retrieval
Hang Zhang
Yeyun Gong
Yelong Shen
Jiancheng Lv
Nan Duan
Weizhu Chen
VLMRALM
119
118
0
07 Oct 2021
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
Thibault Formal
Carlos Lassance
Benjamin Piwowarski
Stéphane Clinchant
273
189
0
21 Sep 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense
  Passage Retrieval
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 Wu
Haifeng Wang
Ji-Rong Wen
175
94
0
13 Aug 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage
  Retrieval
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Luyu Gao
Jamie Callan
RALM
279
338
0
12 Aug 2021
Domain-matched Pre-training Tasks for Dense Retrieval
Domain-matched Pre-training Tasks for Dense Retrieval
Barlas Oğuz
Kushal Lakhotia
Anchit Gupta
Patrick Lewis
Vladimir Karpukhin
...
Xilun Chen
Sebastian Riedel
Wen-tau Yih
Sonal Gupta
Yashar Mehdad
RALM
65
67
0
28 Jul 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Hongxin Wei
Lue Tao
Renchunzi Xie
Bo An
NoLa
73
86
0
21 Jun 2021
Condenser: a Pre-training Architecture for Dense Retrieval
Condenser: a Pre-training Architecture for Dense Retrieval
Luyu Gao
Jamie Callan
AI4CE
59
265
0
16 Apr 2021
COIL: Revisit Exact Lexical Match in Information Retrieval with
  Contextualized Inverted List
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
Luyu Gao
Zhuyun Dai
Jamie Callan
63
219
0
15 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 Wu
Haifeng Wang
RALMOffRL
259
617
0
16 Oct 2020
Approximate Nearest Neighbor Negative Contrastive Learning for Dense
  Text Retrieval
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong
Chenyan Xiong
Ye Li
Kwok-Fung Tang
Jialin Liu
Paul N. Bennett
Junaid Ahmed
Arnold Overwijk
141
1,236
0
01 Jul 2020
Sparse, Dense, and Attentional Representations for Text Retrieval
Sparse, Dense, and Attentional Representations for Text Retrieval
Y. Luan
Jacob Eisenstein
Kristina Toutanova
M. Collins
71
409
0
01 May 2020
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble
  Model on Short-Text Conversation
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
Jiayi Zhang
Chongyang Tao
Zhenjing Xu
Qiaojing Xie
Wei Chen
Rui Yan
61
16
0
30 Apr 2020
ColBERT: Efficient and Effective Passage Search via Contextualized Late
  Interaction over BERT
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab
Matei A. Zaharia
138
1,380
0
27 Apr 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
207
3,794
0
10 Apr 2020
Overview of the TREC 2019 deep learning track
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
237
495
0
17 Mar 2020
Does label smoothing mitigate label noise?
Does label smoothing mitigate label noise?
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Surinder Kumar
NoLa
187
351
0
05 Mar 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
361
519
0
05 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li
R. Socher
Guosheng Lin
NoLa
110
1,034
0
18 Feb 2020
Multi-Stage Document Ranking with BERT
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira
Wei Yang
Kyunghyun Cho
Jimmy J. Lin
89
397
0
31 Oct 2019
Deeper Text Understanding for IR with Contextual Neural Language
  Modeling
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Zhuyun Dai
Jamie Callan
65
449
0
22 May 2019
Unsupervised Label Noise Modeling and Loss Correction
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
102
616
0
25 Apr 2019
ERNIE: Enhanced Representation through Knowledge Integration
ERNIE: Enhanced Representation through Knowledge Integration
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Xuyi Chen
Han Zhang
Xin Tian
Danxiang Zhu
Hao Tian
Hua Wu
121
903
0
19 Apr 2019
Document Expansion by Query Prediction
Document Expansion by Query Prediction
Rodrigo Nogueira
Wei Yang
Jimmy J. Lin
Kyunghyun Cho
122
417
0
17 Apr 2019
Understanding the Behaviors of BERT in Ranking
Understanding the Behaviors of BERT in Ranking
Yifan Qiao
Chenyan Xiong
Zhenghao Liu
Zhiyuan Liu
104
217
0
16 Apr 2019
Passage Re-ranking with BERT
Passage Re-ranking with BERT
Rodrigo Nogueira
Kyunghyun Cho
OOD
126
1,097
0
13 Jan 2019
Multi-class Classification without Multi-class Labels
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
96
168
0
02 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Stochastic Answer Networks for Natural Language Inference
Stochastic Answer Networks for Natural Language Inference
Xiaodong Liu
Kevin Duh
Jianfeng Gao
BDL
54
45
0
21 Apr 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely
  Noisy Labels
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
128
2,082
0
18 Apr 2018
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
131
1,829
0
16 Jun 2017
Decoupling "when to update" from "how to update"
Decoupling "when to update" from "how to update"
Eran Malach
Shai Shalev-Shwartz
NoLa
104
569
0
08 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
153
2,739
0
13 Apr 2017
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj
Daniel Fernando Campos
Nick Craswell
Li Deng
Jianfeng Gao
...
Mir Rosenberg
Xia Song
Alina Stoica
Saurabh Tiwary
Tong Wang
RALM
178
2,745
0
28 Nov 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
192
2,567
0
07 Oct 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,427
0
02 Dec 2015
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
270
6,135
0
04 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
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