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Interpretation Quality Score for Measuring the Quality of
  interpretability methods

Interpretation Quality Score for Measuring the Quality of interpretability methods

24 May 2022
Sean Xie
Soroush Vosoughi
Saeed Hassanpour
    XAI
ArXivPDFHTML

Papers citing "Interpretation Quality Score for Measuring the Quality of interpretability methods"

6 / 6 papers shown
Title
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Daniel Hendriks
Philipp Spitzer
Niklas Kühl
G. Satzger
27
1
0
22 Apr 2025
LLMs for XAI: Future Directions for Explaining Explanations
LLMs for XAI: Future Directions for Explaining Explanations
Alexandra Zytek
Sara Pido
K. Veeramachaneni
LRM
25
14
0
09 May 2024
Evaluating the Robustness of Interpretability Methods through
  Explanation Invariance and Equivariance
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
Jonathan Crabbé
M. Schaar
AAML
24
6
0
13 Apr 2023
Towards Interpretable Deep Reinforcement Learning Models via Inverse
  Reinforcement Learning
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
Yuansheng Xie
Soroush Vosoughi
Saeed Hassanpour
26
2
0
30 Mar 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,690
0
28 Feb 2017
1