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Don't Read Too Much into It: Adaptive Computation for Open-Domain
  Question Answering

Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering

10 November 2020
Yuxiang Wu
Sebastian Riedel
Pasquale Minervini
Pontus Stenetorp
ArXivPDFHTML

Papers citing "Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering"

4 / 4 papers shown
Title
A Survey for Efficient Open Domain Question Answering
A Survey for Efficient Open Domain Question Answering
Qin Zhang
Shan Chen
Dongkuan Xu
Qingqing Cao
Xiaojun Chen
Trevor Cohn
Meng Fang
28
33
0
15 Nov 2022
Training Adaptive Computation for Open-Domain Question Answering with
  Computational Constraints
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints
Yuxiang Wu
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
19
5
0
05 Jul 2021
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
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
230
575
0
12 Sep 2019
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