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Comparing Explanation Faithfulness between Multilingual and Monolingual
  Fine-tuned Language Models

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models

19 March 2024
Zhixue Zhao
Nikolaos Aletras
ArXivPDFHTML

Papers citing "Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models"

5 / 5 papers shown
Title
"Will You Find These Shortcuts?" A Protocol for Evaluating the
  Faithfulness of Input Salience Methods for Text Classification
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Jasmijn Bastings
Sebastian Ebert
Polina Zablotskaia
Anders Sandholm
Katja Filippova
107
75
0
14 Nov 2021
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement
  Verification and Evidence Finding with Tables
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables
Xiaoyi Ruan
Meizhi Jin
Jian Ma
Haiqing Yang
Lian-Xin Jiang
Yang Mo
Mengyuan Zhou
LMTD
22
2
0
21 Apr 2021
How Good is Your Tokenizer? On the Monolingual Performance of
  Multilingual Language Models
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Phillip Rust
Jonas Pfeiffer
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
69
235
0
31 Dec 2020
What the [MASK]? Making Sense of Language-Specific BERT Models
What the [MASK]? Making Sense of Language-Specific BERT Models
Debora Nozza
Federico Bianchi
Dirk Hovy
82
105
0
05 Mar 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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