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More Bang for Your Buck: Natural Perturbation for Robust Question
  Answering

More Bang for Your Buck: Natural Perturbation for Robust Question Answering

9 April 2020
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
    AAML
    OOD
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Papers citing "More Bang for Your Buck: Natural Perturbation for Robust Question Answering"

3 / 3 papers shown
Title
Contrastive Fine-tuning Improves Robustness for Neural Rankers
Contrastive Fine-tuning Improves Robustness for Neural Rankers
Xiaofei Ma
Cicero Nogueira dos Santos
Andrew O. Arnold
18
20
0
27 May 2021
UnifiedQA: Crossing Format Boundaries With a Single QA System
UnifiedQA: Crossing Format Boundaries With a Single QA System
Daniel Khashabi
Sewon Min
Tushar Khot
Ashish Sabharwal
Oyvind Tafjord
Peter Clark
Hannaneh Hajishirzi
35
720
0
02 May 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
1