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Can Open-Domain QA Reader Utilize External Knowledge Efficiently like
  Humans?

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?

23 November 2022
Neeraj Varshney
Man Luo
Chitta Baral
    RALM
ArXivPDFHTML

Papers citing "Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?"

6 / 6 papers shown
Title
Unsupervised Natural Language Inference Using PHL Triplet Generation
Unsupervised Natural Language Inference Using PHL Triplet Generation
Neeraj Varshney
Pratyay Banerjee
Tejas Gokhale
Chitta Baral
13
9
0
16 Oct 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
170
101
0
19 Sep 2021
Will this Question be Answered? Question Filtering via Answer Model
  Distillation for Efficient Question Answering
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
Siddhant Garg
Alessandro Moschitti
27
26
0
14 Sep 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
251
1,584
0
21 Jan 2020
Answering Complex Open-domain Questions Through Iterative Query
  Generation
Answering Complex Open-domain Questions Through Iterative Query Generation
Peng Qi
Xiaowen Lin
L. Mehr
Zijian Wang
Christopher D. Manning
RALM
ReLM
LRM
164
117
0
15 Oct 2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
214
571
0
12 Sep 2019
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