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. 2212.10381
  4. Cited By
To Adapt or to Annotate: Challenges and Interventions for Domain
  Adaptation in Open-Domain Question Answering

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering

20 December 2022
Dheeru Dua
Emma Strubell
Sameer Singh
Pat Verga
    OOD
ArXivPDFHTML

Papers citing "To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering"

2 / 2 papers shown
Title
Tricks for Training Sparse Translation Models
Tricks for Training Sparse Translation Models
Dheeru Dua
Shruti Bhosale
Vedanuj Goswami
James Cross
M. Lewis
Angela Fan
MoE
145
19
0
15 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
229
961
0
17 Apr 2021
1