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How Does Generative Retrieval Scale to Millions of Passages?

How Does Generative Retrieval Scale to Millions of Passages?

19 May 2023
Ronak Pradeep
Kai Hui
Jai Gupta
Á. Lelkes
Honglei Zhuang
Jimmy J. Lin
Donald Metzler
Vinh Q. Tran
    RALM
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Papers citing "How Does Generative Retrieval Scale to Millions of Passages?"

38 / 38 papers shown
Title
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
Aleksandr V. Petrov
Craig MacDonald
Nicola Tonellotto
29
0
0
01 May 2025
Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
Tongtong Liu
Zhaohui Wang
Meiyue Qin
Zenghui Lu
Xudong Chen
Yuekui Yang
Peng Shu
38
0
0
02 Apr 2025
Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
Enrico Palumbo
Gustavo Penha
Andreas Damianou
José Luis Redondo García
Timothy Christopher Heath
Alice Wang
Hugues Bouchard
M. Lalmas
49
0
0
31 Mar 2025
Reverse-Engineering the Retrieval Process in GenIR Models
Reverse-Engineering the Retrieval Process in GenIR Models
Anja Reusch
Yonatan Belinkov
RALM
65
0
0
25 Mar 2025
On Synthetic Data Strategies for Domain-Specific Generative Retrieval
On Synthetic Data Strategies for Domain-Specific Generative Retrieval
Haoyang Wen
Jiang Guo
Yi Zhang
Jiarong Jiang
Zhilin Wang
SyDa
71
0
0
25 Feb 2025
A Survey of Model Architectures in Information Retrieval
A Survey of Model Architectures in Information Retrieval
Zhichao Xu
Fengran Mo
Zhiqi Huang
Crystina Zhang
Puxuan Yu
Bei Wang
Jimmy J. Lin
Vivek Srikumar
KELM
3DV
58
2
0
21 Feb 2025
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation
Gabriel Patron
Zhiwei Xu
Ishan Kapnadak
Felipe Maia Polo
DiffM
38
0
0
05 Feb 2025
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
Mathilde Caron
Alireza Fathi
Cordelia Schmid
Ahmet Iscen
39
1
0
31 Oct 2024
Generative Retrieval with Few-shot Indexing
Generative Retrieval with Few-shot Indexing
Arian Askari
Chuan Meng
Mohammad Aliannejadi
Zhaochun Ren
Evangelos Kanoulas
Suzan Verberne
RALM
55
3
0
04 Aug 2024
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim
Alireza Salemi
Andrew Drozdov
Fernando Diaz
Hamed Zamani
56
7
0
17 Jul 2024
From RAG to RICHES: Retrieval Interlaced with Sequence Generation
From RAG to RICHES: Retrieval Interlaced with Sequence Generation
Palak Jain
Livio Baldini Soares
Tom Kwiatkowski
VLM
23
4
0
29 Jun 2024
Scaling the Vocabulary of Non-autoregressive Models for Efficient
  Generative Retrieval
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
Ravisri Valluri
Akash Kumar Mohankumar
Kushal Dave
Amit Singh
Jian Jiao
Manik Varma
Gaurav Sinha
58
1
0
10 Jun 2024
A Survey of Generative Information Retrieval
A Survey of Generative Information Retrieval
Tzu-Lin Kuo
Tzu-Wei Chiu
Tzung-Sheng Lin
Sheng-Yang Wu
Chao-Wei Huang
Yun-Nung Chen
SyDa
77
2
0
03 Jun 2024
Event GDR: Event-Centric Generative Document Retrieval
Event GDR: Event-Centric Generative Document Retrieval
Yong Guan
Dingxiao Liu
Jinchen Ma
Hao Peng
Xiaozhi Wang
Lei Hou
Ru Li
37
1
0
11 May 2024
A Survey of Generative Search and Recommendation in the Era of Large
  Language Models
A Survey of Generative Search and Recommendation in the Era of Large Language Models
Yongqi Li
Xinyu Lin
Wenjie Wang
Fuli Feng
Liang Pang
Wenjie Li
Liqiang Nie
Xiangnan He
Tat-Seng Chua
3DV
LRM
46
7
0
25 Apr 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
78
46
0
23 Apr 2024
Planning Ahead in Generative Retrieval: Guiding Autoregressive
  Generation through Simultaneous Decoding
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
Hansi Zeng
Chen Luo
Hamed Zamani
48
12
0
22 Apr 2024
Source-Aware Training Enables Knowledge Attribution in Language Models
Source-Aware Training Enables Knowledge Attribution in Language Models
Muhammad Khalifa
David Wadden
Emma Strubell
Honglak Lee
Lu Wang
Iz Beltagy
Hao Peng
HILM
39
14
0
01 Apr 2024
Generative Retrieval as Multi-Vector Dense Retrieval
Generative Retrieval as Multi-Vector Dense Retrieval
Shiguang Wu
Wenda Wei
Mengqi Zhang
Zhumin Chen
Jun Ma
Zhaochun Ren
Maarten de Rijke
Pengjie Ren
3DV
29
7
0
31 Mar 2024
Beyond Memorization: The Challenge of Random Memory Access in Language
  Models
Beyond Memorization: The Challenge of Random Memory Access in Language Models
Tongyao Zhu
Qian Liu
Liang Pang
Zhengbao Jiang
Min-Yen Kan
Min-Bin Lin
KELM
34
6
0
12 Mar 2024
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning
Manish Chandra
Debasis Ganguly
Yiwen Li
37
3
0
11 Mar 2024
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
Mathilde Caron
Ahmet Iscen
Alireza Fathi
Cordelia Schmid
34
5
0
04 Mar 2024
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?
Benjamin Z. Reichman
Larry Heck
21
7
0
16 Feb 2024
Distillation Enhanced Generative Retrieval
Distillation Enhanced Generative Retrieval
Yongqi Li
Zhen Zhang
Wenjie Wang
Liqiang Nie
Wenjie Li
Tat-Seng Chua
VLM
32
1
0
16 Feb 2024
Prompt Perturbation in Retrieval-Augmented Generation based Large
  Language Models
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
Zhibo Hu
Chen Wang
Yanfeng Shu
Helen Paik
Paik
Liming Zhu
SILM
RALM
48
8
0
11 Feb 2024
Large Search Model: Redefining Search Stack in the Era of LLMs
Large Search Model: Redefining Search Stack in the Era of LLMs
Liang Wang
Nan Yang
Xiaolong Huang
Linjun Yang
Rangan Majumder
Furu Wei
LRM
KELM
28
13
0
23 Oct 2023
Language Models As Semantic Indexers
Language Models As Semantic Indexers
Bowen Jin
Hansi Zeng
Guoyin Wang
Xiusi Chen
Tianxin Wei
...
Yang Li
Hanqing Lu
Suhang Wang
Jiawei Han
Xianfeng Tang
RALM
40
18
0
11 Oct 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
35
36
0
26 Sep 2023
Large Language Models for Information Retrieval: A Survey
Large Language Models for Information Retrieval: A Survey
Yutao Zhu
Huaying Yuan
Shuting Wang
Jiongnan Liu
Wenhan Liu
Chenlong Deng
Haonan Chen
Zhicheng Dou
Ji-Rong Wen
KELM
57
286
0
14 Aug 2023
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Kaiyu Yang
Aidan M. Swope
Alex Gu
Rahul Chalamala
Peiyang Song
Shixing Yu
Saad Godil
R. Prenger
Anima Anandkumar
RALM
19
208
0
27 Jun 2023
Learning to Rank in Generative Retrieval
Learning to Rank in Generative Retrieval
Yongqing Li
Nan Yang
Liang Wang
Furu Wei
Wenjie Li
RALM
25
37
0
27 Jun 2023
Exploring the Practicality of Generative Retrieval on Dynamic Corpora
Exploring the Practicality of Generative Retrieval on Dynamic Corpora
Soyoung Yoon
Chaeeun Kim
Hyunji Lee
Joel Jang
Sohee Yang
Minjoon Seo
21
3
0
27 May 2023
Large Language Models are Built-in Autoregressive Search Engines
Large Language Models are Built-in Autoregressive Search Engines
Noah Ziems
W. Yu
Zhihan Zhang
Meng Jiang
KELM
64
40
0
16 May 2023
NevIR: Negation in Neural Information Retrieval
NevIR: Negation in Neural Information Retrieval
Orion Weller
Dawn J Lawrie
Benjamin Van Durme
MU
61
18
0
12 May 2023
DSI++: Updating Transformer Memory with New Documents
DSI++: Updating Transformer Memory with New Documents
Sanket Vaibhav Mehta
Jai Gupta
Yi Tay
Mostafa Dehghani
Vinh Q. Tran
J. Rao
Marc Najork
Emma Strubell
Donald Metzler
CLL
32
39
0
19 Dec 2022
Overview of the TREC 2020 deep learning track
Overview of the TREC 2020 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
54
368
0
15 Feb 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained
  Sequence-to-Sequence Models
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep
Rodrigo Nogueira
Jimmy J. Lin
MoE
59
166
0
14 Jan 2021
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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