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Testing the effectiveness of saliency-based explainability in NLP using
  randomized survey-based experiments

Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments

25 November 2022
Adel Rahimi
Shaurya Jain
    FAtt
ArXivPDFHTML

Papers citing "Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments"

3 / 3 papers shown
Title
Human Interpretation of Saliency-based Explanation Over Text
Human Interpretation of Saliency-based Explanation Over Text
Hendrik Schuff
Alon Jacovi
Heike Adel
Yoav Goldberg
Ngoc Thang Vu
MILM
XAI
FAtt
148
39
0
27 Jan 2022
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,833
0
17 Sep 2019
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
1