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Debiasing Methods in Natural Language Understanding Make Bias More
  Accessible

Debiasing Methods in Natural Language Understanding Make Bias More Accessible

9 September 2021
Michael J. Mendelson
Yonatan Belinkov
ArXivPDFHTML

Papers citing "Debiasing Methods in Natural Language Understanding Make Bias More Accessible"

7 / 7 papers shown
Title
Gender Encoding Patterns in Pretrained Language Model Representations
Mahdi Zakizadeh
Mohammad Taher Pilehvar
41
0
0
09 Mar 2025
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
H. Li
Xiaogeng Liu
SILM
24
4
0
30 Oct 2024
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
15
5
0
07 Nov 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Xia Hu
KELM
OffRL
11
81
0
25 Aug 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
219
291
0
24 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
196
876
0
03 May 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
574
0
02 May 2018
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