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NV-Retriever: Improving text embedding models with effective hard-negative mining

NV-Retriever: Improving text embedding models with effective hard-negative mining

22 July 2024
G. D. S. P. Moreira
Radek Osmulski
Mengyao Xu
Ronay Ak
Benedikt D. Schifferer
Even Oldridge
    RALM
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Papers citing "NV-Retriever: Improving text embedding models with effective hard-negative mining"

27 / 27 papers shown
Title
Is This Collection Worth My LLM's Time? Automatically Measuring Information Potential in Text Corpora
Is This Collection Worth My LLM's Time? Automatically Measuring Information Potential in Text Corpora
Tristan Karch
Luca Engel
Philippe Schwaller
Frédéric Kaplan
77
0
0
20 May 2025
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Raghuveer Thirukovalluru
Rui Meng
Y. Liu
K. Krishnamoorthi
Mingyi Su
Ping Nie
Semih Yavuz
Yingbo Zhou
Wenhu Chen
Bhuwan Dhingra
14
0
0
16 May 2025
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
Ohjoon Kwon
Changsu Lee
Jihye Back
Lim Sun Suk
Inho Kang
Donghyeon Jeon
40
0
0
12 May 2025
The Distracting Effect: Understanding Irrelevant Passages in RAG
The Distracting Effect: Understanding Irrelevant Passages in RAG
Chen Amiraz
Florin Cuconasu
Simone Filice
Zohar S. Karnin
34
0
0
11 May 2025
SweRank: Software Issue Localization with Code Ranking
SweRank: Software Issue Localization with Code Ranking
R. Reddy
Tarun Suresh
JaeHyeok Doo
Y. Liu
Xuan-Phi Nguyen
Yingbo Zhou
Semih Yavuz
Caiming Xiong
Heng Ji
Shafiq R. Joty
24
0
0
07 May 2025
Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG
Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG
Hengran Zhang
Minghao Tang
Keping Bi
J. Guo
Shihao Liu
Daiting Shi
Dawei Yin
Xueqi Cheng
19
0
0
07 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
135
0
0
07 Apr 2025
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
Reza Esfandiarpoor
George Zerveas
Ruochen Zhang
Macton Mgonzo
Carsten Eickhoff
Stephen H. Bach
SyDa
47
0
0
29 Mar 2025
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models
Siyuan Guo
Huiwu Liu
Xiaolong Chen
Yuming Xie
Liang Zhang
Tao Han
H. Chen
Yi-Ju Chang
Jun Wang
74
0
0
26 Mar 2025
GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval
Justus-Jonas Erker
Nils Reimers
Iryna Gurevych
58
0
0
10 Mar 2025
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation
Manveer Singh Tamber
Suleman Kazi
Vivek Sourabh
Jimmy J. Lin
66
1
0
27 Feb 2025
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning
Thorben Prein
Elton Pan
Sami Haddouti
Marco Lorenz
Janik Jehkul
...
Cansu Moran
Menelaos Panagiotis Fotiadis
Artur P. Toshev
E. Olivetti
Jennifer L.M. Rupp
44
0
0
06 Feb 2025
LLMs are Also Effective Embedding Models: An In-depth Overview
LLMs are Also Effective Embedding Models: An In-depth Overview
Chongyang Tao
Tao Shen
Shen Gao
Junshuo Zhang
Zhen Li
Zhengwei Tao
Shuai Ma
83
7
0
17 Dec 2024
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
Tarun Suresh
R. Reddy
Yifei Xu
Zach Nussbaum
Andriy Mulyar
Brandon Duderstadt
Heng Ji
89
3
0
01 Dec 2024
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive
  Grammars
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive Grammars
Albert Kornilov
Tatiana Shavrina
79
1
0
23 Nov 2024
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and
  Multi-task Code Retrieval
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
Y. Liu
Rui Meng
Shafiq R. Joty
Silvio Savarese
Caiming Xiong
Yingbo Zhou
Semih Yavuz
92
3
0
19 Nov 2024
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
Sheng-Chieh Lin
Chankyu Lee
M. Shoeybi
Jimmy J. Lin
Bryan Catanzaro
Wei Ping
65
10
0
04 Nov 2024
RARe: Retrieval Augmented Retrieval with In-Context Examples
RARe: Retrieval Augmented Retrieval with In-Context Examples
Atula Tejaswi
Yoonsang Lee
Sujay Sanghavi
Eunsol Choi
RALM
LRM
25
1
0
26 Oct 2024
Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
Botian Jiang
Lei Li
Xiaonan Li
Zhaowei Li
Xiachong Feng
Lingpeng Kong
Q. Liu
Xipeng Qiu
41
2
0
16 Oct 2024
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Thang Nguyen
Peter Chin
Yu-Wing Tai
RALM
39
4
0
03 Oct 2024
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like
  Language Models
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Orion Weller
Benjamin Van Durme
Dawn J Lawrie
Ashwin Paranjape
Yuhao Zhang
Jack Hessel
LRM
RALM
52
17
0
17 Sep 2024
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking,
  fine-tuning and deploying Rerankers for RAG
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
G. D. S. P. Moreira
Ronay Ak
Benedikt D. Schifferer
Mengyao Xu
Radek Osmulski
Even Oldridge
21
4
0
12 Sep 2024
Conan-embedding: General Text Embedding with More and Better Negative
  Samples
Conan-embedding: General Text Embedding with More and Better Negative Samples
Shiyu Li
Yang Tang
Shizhe Chen
Xi Chen
18
3
0
28 Aug 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
54
139
0
27 May 2024
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-Hong Wu
Haifeng Wang
Ji-Rong Wen
138
248
0
14 Oct 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
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