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Large Dual Encoders Are Generalizable Retrievers

Large Dual Encoders Are Generalizable Retrievers

15 December 2021
Jianmo Ni
Chen Qu
Jing Lu
Zhuyun Dai
Gustavo Hernández Ábrego
Ji Ma
Vincent Zhao
Yi Luan
Keith B. Hall
Ming-Wei Chang
Yinfei Yang
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Papers citing "Large Dual Encoders Are Generalizable Retrievers"

50 / 58 papers shown
Title
Leveraging Decoder Architectures for Learned Sparse Retrieval
Leveraging Decoder Architectures for Learned Sparse Retrieval
Jingfen Qiao
Thong Nguyen
Evangelos Kanoulas
Andrew Yates
49
0
0
25 Apr 2025
PropRAG: Guiding Retrieval with Beam Search over Proposition Paths
PropRAG: Guiding Retrieval with Beam Search over Proposition Paths
Jingjin Wang
LRM
51
0
0
25 Apr 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
CSPLADE: Learned Sparse Retrieval with Causal Language Models
Zhichao Xu
Aosong Feng
Yijun Tian
Haibo Ding
Lin Leee Cheong
RALM
40
0
0
15 Apr 2025
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
Hengran Zhang
Keping Bi
J. Guo
Xiaojie Sun
Shihao Liu
Daiting Shi
Dawei Yin
Xueqi Cheng
RALM
54
0
0
07 Apr 2025
Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition
Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition
Yifei Duan
Raphael Shang
Deng Liang
Yongqiang Cai
80
0
0
28 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
52
3
0
21 Feb 2025
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
Jingcheng Deng
Zhongtao Jiang
Liang Pang
Liwei Chen
Kun Xu
Zihao Wei
Huawei Shen
Xueqi Cheng
49
1
0
17 Feb 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
H. Zhang
Xiaoman Pan
Hongwei Wang
Kaixin Ma
W. Yu
Dong Yu
LLMAG
54
3
0
03 Jan 2025
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang
Rui Meng
Xinyi Yang
Semih Yavuz
Yingbo Zhou
Wenhu Chen
MLLM
VLM
51
18
0
03 Jan 2025
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
Hieu Man
Nghia Trung Ngo
Viet Dac Lai
Ryan Rossi
Franck Dernoncourt
T. Nguyen
64
0
0
01 Jan 2025
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
Jie He
Nan Hu
Wanqiu Long
Jiaoyan Chen
Jeff Z. Pan
ELM
LRM
92
6
0
22 Dec 2024
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers
Chancharik Mitra
Brandon Huang
Tianning Chai
Zhiqiu Lin
Assaf Arbelle
Rogerio Feris
Leonid Karlinsky
Trevor Darrell
Deva Ramanan
Roei Herzig
VLM
119
4
0
28 Nov 2024
UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
Dehai Min
Zhiyang Xu
Guilin Qi
Lifu Huang
Chenyu You
RALM
62
1
0
26 Oct 2024
Multi-Field Adaptive Retrieval
Multi-Field Adaptive Retrieval
Millicent Li
Tongfei Chen
Benjamin Van Durme
Patrick Xia
50
0
0
26 Oct 2024
Improving Model Factuality with Fine-grained Critique-based Evaluator
Improving Model Factuality with Fine-grained Critique-based Evaluator
Yiqing Xie
Wenxuan Zhou
Pradyot Prakash
Di Jin
Yuning Mao
...
Sinong Wang
Han Fang
Carolyn Rose
Daniel Fried
Hejia Zhang
HILM
33
5
0
24 Oct 2024
Compute-Constrained Data Selection
Compute-Constrained Data Selection
Junjie Oscar Yin
Alexander M. Rush
37
0
0
21 Oct 2024
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen
Tianyu Gao
Minmin Hou
Ke Ding
Daniel Fleischer
Peter Izsak
Moshe Wasserblat
Danqi Chen
ALM
ELM
56
24
0
03 Oct 2024
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Maojia Song
Shang Hong Sim
Rishabh Bhardwaj
Hai Leong Chieu
Navonil Majumder
Soujanya Poria
29
6
0
17 Sep 2024
Improving Retrieval Augmented Language Model with Self-Reasoning
Improving Retrieval Augmented Language Model with Self-Reasoning
Yuan Xia
Jingbo Zhou
Zhenhui Shi
Jun Chen
Hai-ting Huang
AIFin
LRM
ReLM
KELM
25
8
0
29 Jul 2024
Preserving Multilingual Quality While Tuning Query Encoder on English Only
Preserving Multilingual Quality While Tuning Query Encoder on English Only
Oleg V. Vasilyev
Randy Sawaya
John Bohannon
31
1
0
01 Jul 2024
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
Qi Liu
Bo Wang
Nan Wang
Jiaxin Mao
RALM
69
3
0
21 Jun 2024
An Analysis of Multilingual FActScore
An Analysis of Multilingual FActScore
Kim Trong Vu
Michael Krumdick
Varshini Reddy
Franck Dernoncourt
Viet Dac Lai
HILM
39
0
0
20 Jun 2024
Language Modeling with Editable External Knowledge
Language Modeling with Editable External Knowledge
Belinda Z. Li
Emmy Liu
Alexis Ross
Abbas Zeitoun
Graham Neubig
Jacob Andreas
KELM
23
4
0
17 Jun 2024
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models
Manveer Singh Tamber
Jasper Xian
Jimmy Lin
MLAU
SILM
72
0
0
13 Jun 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in
  Text Embeddings without Model Queries
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
Yu-Hsiang Huang
Yuche Tsai
Hsiang Hsiao
Hong-Yi Lin
Shou-De Lin
SILM
35
6
0
12 Jun 2024
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
Avital Shafran
R. Schuster
Vitaly Shmatikov
37
27
0
09 Jun 2024
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee
Rajarshi Roy
Mengyao Xu
Jonathan Raiman
M. Shoeybi
Bryan Catanzaro
Wei Ping
RALM
36
132
0
27 May 2024
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Bernal Jiménez Gutiérrez
Yiheng Shu
Yu Gu
Michihiro Yasunaga
Yu-Chuan Su
RALM
CLL
54
27
0
23 May 2024
GREEN: Generative Radiology Report Evaluation and Error Notation
GREEN: Generative Radiology Report Evaluation and Error Notation
Sophie Ostmeier
Justin Xu
Zhihong Chen
Maya Varma
Louis Blankemeier
...
Arne Edward Michalson
Michael E. Moseley
Curtis P. Langlotz
Akshay S. Chaudhari
Jean-Benoit Delbrouck
MedIm
35
20
0
06 May 2024
BMRetriever: Tuning Large Language Models as Better Biomedical Text
  Retrievers
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
Ran Xu
Wenqi Shi
Yue Yu
Yuchen Zhuang
Yanqiao Zhu
M. D. Wang
Joyce C. Ho
Chao Zhang
Carl Yang
LM&MA
40
19
0
29 Apr 2024
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data
Tim Baumgärtner
Yang Gao
Dana Alon
Donald Metzler
AAML
18
17
0
08 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
18
7
0
31 Mar 2024
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Jinhyuk Lee
Zhuyun Dai
Xiaoqi Ren
Blair Chen
Daniel Matthew Cer
...
Aditya Kusupati
Prateek Jain
Siddhartha Reddy Jonnalagadda
Ming-Wei Chang
Iftekhar Naim
RALM
VLM
SyDa
27
40
0
29 Mar 2024
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation
  Learning
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
Yingqian Min
Kun Zhou
Dawei Gao
Wayne Xin Zhao
He Hu
Yaliang Li
14
1
0
07 Jan 2024
Effective Large Language Model Adaptation for Improved Grounding and
  Citation Generation
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
Xi Ye
Ruoxi Sun
Sercan Ö. Arik
Tomas Pfister
HILM
15
25
0
16 Nov 2023
Leveraging LLMs for Synthesizing Training Data Across Many Languages in
  Multilingual Dense Retrieval
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
Nandan Thakur
Jianmo Ni
Gustavo Hernández Ábrego
John Wieting
Jimmy J. Lin
Daniel Matthew Cer
RALM
21
12
0
10 Nov 2023
Reliable Academic Conference Question Answering: A Study Based on Large
  Language Model
Reliable Academic Conference Question Answering: A Study Based on Large Language Model
Zhiwei Huang
Long Jin
Junjie Wang
Mingchen Tu
Yin Hua
Zhiqiang Liu
Jiawei Meng
Hua-zeng Chen
Wen Zhang
26
0
0
19 Oct 2023
A Comprehensive Evaluation of Tool-Assisted Generation Strategies
A Comprehensive Evaluation of Tool-Assisted Generation Strategies
Alon Jacovi
Avi Caciularu
Jonathan Herzig
Roee Aharoni
Bernd Bohnet
Mor Geva
ELM
16
6
0
16 Oct 2023
Text Embeddings Reveal (Almost) As Much As Text
Text Embeddings Reveal (Almost) As Much As Text
John X. Morris
Volodymyr Kuleshov
Vitaly Shmatikov
Alexander M. Rush
RALM
18
89
0
10 Oct 2023
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Yury Zemlyanskiy
Michiel de Jong
Luke Vilnis
Santiago Ontañón
William W. Cohen
Sumit Sanghai
Joshua Ainslie
RALM
MQ
23
0
0
28 Aug 2023
Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation
  from Text
Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
Nandana Mihindukulasooriya
Sanju Tiwari
Carlos F. Enguix
K. Lata
17
51
0
04 Aug 2023
Generator-Retriever-Generator Approach for Open-Domain Question
  Answering
Generator-Retriever-Generator Approach for Open-Domain Question Answering
Abdelrahman Abdallah
Adam Jatowt
RALM
12
10
0
21 Jul 2023
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models
  with Same Tower Negatives
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
Fedor Moiseev
Gustavo Hernández Ábrego
Peter Dornbach
I. Zitouni
Enrique Alfonseca
Zhe Dong
13
6
0
05 Jun 2023
A Comprehensive Survey of Sentence Representations: From the BERT Epoch
  to the ChatGPT Era and Beyond
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
Abhinav Ramesh Kashyap
Thang-Tung Nguyen
Viktor Schlegel
Stefan Winkler
See-Kiong Ng
Soujanya Poria
AI4TS
3DV
SSL
24
6
0
22 May 2023
How Does Generative Retrieval Scale to Millions of Passages?
How Does Generative Retrieval Scale to Millions of Passages?
Ronak Pradeep
Kai Hui
Jai Gupta
Á. Lelkes
Honglei Zhuang
Jimmy J. Lin
Donald Metzler
Vinh Q. Tran
RALM
16
62
0
19 May 2023
BERM: Training the Balanced and Extractable Representation for Matching
  to Improve Generalization Ability of Dense Retrieval
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
Shicheng Xu
Liang Pang
Huawei Shen
Xueqi Cheng
8
11
0
18 May 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
8
15
0
04 Apr 2023
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
Leonid Boytsov
Preksha Patel
Vivek Sourabh
Riddhi Nisar
Sayan Kundu
R. Ramanathan
Eric Nyberg
19
19
0
08 Jan 2023
Attributed Question Answering: Evaluation and Modeling for Attributed
  Large Language Models
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bernd Bohnet
Vinh Q. Tran
Pat Verga
Roee Aharoni
D. Andor
...
Michael Collins
Dipanjan Das
Donald Metzler
Slav Petrov
Kellie Webster
33
59
0
15 Dec 2022
Task-aware Retrieval with Instructions
Task-aware Retrieval with Instructions
Akari Asai
Timo Schick
Patrick Lewis
Xilun Chen
Gautier Izacard
Sebastian Riedel
Hannaneh Hajishirzi
Wen-tau Yih
22
86
0
16 Nov 2022
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