Rethinking Attention-Model Explainability through Faithfulness Violation Test

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

48 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 39th International Conference on Machine Learning
Publisher	PMLR
Pages	13807-13824
Publication status	Published - Jul 2022

More information

@inproceedings{4a6ff81d65f3460ab72ba0684a624838,

title = "Rethinking Attention-Model Explainability through Faithfulness Violation Test",

author = "Yibing Liu and Haoliang Li and Yangyang Guo and Chenqi Kong and Jing Li and Shiqi Wang",

year = "2022",

month = jul,

language = "English",

pages = "13807--13824",

booktitle = "Proceedings of the 39th International Conference on Machine Learning",

publisher = "PMLR",

}

Rethinking Attention-Model Explainability through Faithfulness Violation Test. / Liu, Yibing; Li, Haoliang; Guo, Yangyang et al.
Proceedings of the 39th International Conference on Machine Learning. PMLR, 2022. p. 13807-13824.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Rethinking Attention-Model Explainability through Faithfulness Violation Test

AU - Liu, Yibing

AU - Li, Haoliang

AU - Guo, Yangyang

AU - Kong, Chenqi

AU - Li, Jing

AU - Wang, Shiqi

PY - 2022/7

Y1 - 2022/7

M3 - Conference article published in proceeding or book

SP - 13807

EP - 13824

BT - Proceedings of the 39th International Conference on Machine Learning

PB - PMLR

ER -