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. 2405.12363
  4. Cited By
Question-Based Retrieval using Atomic Units for Enterprise RAG

Question-Based Retrieval using Atomic Units for Enterprise RAG

20 May 2024
Vatsal Raina
Mark J. F. Gales
ArXivPDFHTML

Papers citing "Question-Based Retrieval using Atomic Units for Enterprise RAG"

5 / 5 papers shown
Title
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Bin Cui
3DV
110
215
0
29 Feb 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language
  Models
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
W. Yu
Hongming Zhang
Xiaoman Pan
Kaixin Ma
Hongwei Wang
Dong Yu
KELM
RALM
LRM
62
101
0
15 Nov 2023
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
Daman Arora
Anush Kini
Sayak Ray Chowdhury
Nagarajan Natarajan
Gaurav Sinha
Amit Sharma
RALM
60
16
0
31 Oct 2023
Large Language Models are Strong Zero-Shot Retriever
Large Language Models are Strong Zero-Shot Retriever
Tao Shen
Guodong Long
Xiubo Geng
Chongyang Tao
Tianyi Zhou
Daxin Jiang
RALM
KELM
35
33
0
27 Apr 2023
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
229
961
0
17 Apr 2021
1