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. 2010.08191
  4. Cited By
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

16 October 2020
Yingqi Qu
Yuchen Ding
Jing Liu
Kai Liu
Ruiyang Ren
Xin Zhao
Daxiang Dong
Hua-Hong Wu
Haifeng Wang
    RALM
    OffRL
ArXivPDFHTML

Papers citing "RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering"

3 / 3 papers shown
Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
Murtadha Ahmed
Wenbo
Liu yunfeng
4
0
0
02 May 2025
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
Aarush Sinha
RALM
53
0
0
20 Apr 2025
Hypencoder: Hypernetworks for Information Retrieval
Hypencoder: Hypernetworks for Information Retrieval
Julian Killingback
Hansi Zeng
Hamed Zamani
74
1
0
07 Feb 2025
1