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SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

21 September 2021
Thibault Formal
Carlos Lassance
Benjamin Piwowarski
S. Clinchant
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Papers citing "SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval"

31 / 31 papers shown
Title
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies
Komal Gilani
Marlo Verket
Christof Peters
Michel Dumontier
Hans-Peter Brunner-La Rocca
V. Urovi
35
0
0
07 May 2025
Leveraging Decoder Architectures for Learned Sparse Retrieval
Leveraging Decoder Architectures for Learned Sparse Retrieval
Jingfen Qiao
Thong Nguyen
Evangelos Kanoulas
Andrew Yates
51
0
0
25 Apr 2025
IR2: Information Regularization for Information Retrieval
IR2: Information Regularization for Information Retrieval
Jianyou Wang
Kaicheng Wang
Xiaoyue Wang
Weili Cao
R. Paturi
Leon Bergen
46
1
0
25 Feb 2024
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
Fan Jiang
Qiongkai Xu
Tom Drummond
Trevor Cohn
19
2
0
27 Nov 2023
Evaluating Generative Ad Hoc Information Retrieval
Evaluating Generative Ad Hoc Information Retrieval
Lukas Gienapp
Harrisen Scells
Niklas Deckers
Janek Bevendorff
Shuai Wang
...
Maik Frobe
Guide Zucoon
Benno Stein
Matthias Hagen
Martin Potthast
RALM
37
11
0
08 Nov 2023
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large
  Language Models
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
Ronak Pradeep
Sahel Sharifymoghaddam
Jimmy Lin
ALM
32
36
0
26 Sep 2023
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning
  Strategies are not Better than Random Selection
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
Sophia Althammer
Guido Zuccon
Sebastian Hofstatter
Suzan Verberne
Allan Hanbury
30
4
0
12 Sep 2023
Online Distillation for Pseudo-Relevance Feedback
Online Distillation for Pseudo-Relevance Feedback
Sean MacAvaney
Xi Wang
22
2
0
16 Jun 2023
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive
  Decoders
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders
Livio Baldini Soares
D. Gillick
Jeremy R. Cole
Tom Kwiatkowski
24
1
0
23 May 2023
BM25 Query Augmentation Learned End-to-End
BM25 Query Augmentation Learned End-to-End
Xiaoyin Chen
Sam Wiseman
25
0
0
23 May 2023
DAPR: A Benchmark on Document-Aware Passage Retrieval
DAPR: A Benchmark on Document-Aware Passage Retrieval
Kexin Wang
Nils Reimers
Iryna Gurevych
16
5
0
23 May 2023
NevIR: Negation in Neural Information Retrieval
NevIR: Negation in Neural Information Retrieval
Orion Weller
Dawn J Lawrie
Benjamin Van Durme
MU
59
18
0
12 May 2023
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for
  Passage Retrieval
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
Xing Wu
Guangyuan Ma
Peng Wang
Meng Lin
Zijia Lin
Fuzheng Zhang
Songlin Hu
RALM
16
7
0
05 Apr 2023
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Jinhyuk Lee
Zhuyun Dai
Sai Meher Karthik Duddu
Tao Lei
Iftekhar Naim
Ming-Wei Chang
Vincent Zhao
24
15
0
04 Apr 2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and
  Distillation of Rerankers
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Jon Saad-Falcon
Omar Khattab
Keshav Santhanam
Radu Florian
M. Franz
Salim Roukos
Avirup Sil
Md Arafat Sultan
Christopher Potts
24
41
0
01 Mar 2023
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
Chen Chen
Bowen Zhang
Liangliang Cao
Jiguang Shen
Tom Gunter
Albin Madappally Jose
Alexander Toshev
Jonathon Shlens
Ruoming Pang
Yinfei Yang
VLM
3DV
25
14
0
30 Jan 2023
A Study on FGSM Adversarial Training for Neural Retrieval
A Study on FGSM Adversarial Training for Neural Retrieval
Simon Lupart
S. Clinchant
AAML
24
7
0
25 Jan 2023
Query-as-context Pre-training for Dense Passage Retrieval
Query-as-context Pre-training for Dense Passage Retrieval
Xing Wu
Guangyuan Ma
Wanhui Qian
Zijia Lin
Songlin Hu
32
9
0
19 Dec 2022
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for
  Efficient and Effective Multi-Vector Retrieval
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Minghan Li
Sheng-Chieh Lin
Barlas Oğuz
Asish Ghoshal
Jimmy J. Lin
Yashar Mehdad
Wen-tau Yih
Xilun Chen
30
26
0
18 Nov 2022
Unsupervised Domain Adaptation for Sparse Retrieval by Filling
  Vocabulary and Word Frequency Gaps
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps
Hiroki Iida
Naoaki Okazaki
39
4
0
08 Nov 2022
PROD: Progressive Distillation for Dense Retrieval
PROD: Progressive Distillation for Dense Retrieval
Zhenghao Lin
Yeyun Gong
Xiao Liu
Hang Zhang
Chen Lin
...
Jian Jiao
Jing Lu
Daxin Jiang
Rangan Majumder
Nan Duan
48
27
0
27 Sep 2022
Autoregressive Search Engines: Generating Substrings as Document
  Identifiers
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Michele Bevilacqua
G. Ottaviano
Patrick Lewis
Wen-tau Yih
Sebastian Riedel
Fabio Petroni
KELM
RALM
30
155
0
22 Apr 2022
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
218
422
0
24 Jan 2022
Sparsifying Sparse Representations for Passage Retrieval by Top-$k$
  Masking
Sparsifying Sparse Representations for Passage Retrieval by Top-kkk Masking
Jheng-Hong Yang
Xueguang Ma
Jimmy J. Lin
16
13
0
17 Dec 2021
Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard
Mathilde Caron
Lucas Hosseini
Sebastian Riedel
Piotr Bojanowski
Armand Joulin
Edouard Grave
RALM
29
807
0
16 Dec 2021
Large Dual Encoders Are Generalizable Retrievers
Large Dual Encoders Are Generalizable Retrievers
Jianmo Ni
Chen Qu
Jing Lu
Zhuyun Dai
Gustavo Hernández Ábrego
...
Vincent Zhao
Yi Luan
Keith B. Hall
Ming-Wei Chang
Yinfei Yang
DML
16
430
0
15 Dec 2021
Match Your Words! A Study of Lexical Matching in Neural Information
  Retrieval
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval
Thibault Formal
Benjamin Piwowarski
S. Clinchant
17
20
0
10 Dec 2021
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late
  Interaction
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Keshav Santhanam
Omar Khattab
Jon Saad-Falcon
Christopher Potts
Matei A. Zaharia
34
382
0
02 Dec 2021
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
231
966
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
593
0
16 Oct 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
180
465
0
17 Mar 2020
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