ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.11035
  4. Cited By
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?

Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?

16 February 2024
Benjamin Z. Reichman
Larry Heck
ArXivPDFHTML

Papers citing "Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?"

9 / 9 papers shown
Title
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
Dawei Yin
Tat-Seng Chua
Qing Li
RALM
3DV
40
188
0
10 May 2024
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
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training
  Retrieval-Oriented Language Models
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
Shitao Xiao
Zheng Liu
Yingxia Shao
Weidong (Tom) Cai
RALM
40
22
0
04 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
18
7
0
05 Apr 2023
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked
  Auto-Encoder
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
Shitao Xiao
Zheng Liu
Yingxia Shao
Zhao Cao
RALM
118
109
0
24 May 2022
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
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
Distilling Knowledge from Reader to Retriever for Question Answering
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard
Edouard Grave
RALM
185
251
0
08 Dec 2020
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
1