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Stubborn Lexical Bias in Data and Models

Stubborn Lexical Bias in Data and Models

3 June 2023
Sofia Serrano
Jesse Dodge
Noah A. Smith
ArXivPDFHTML

Papers citing "Stubborn Lexical Bias in Data and Models"

7 / 7 papers shown
Title
Understanding Why Generalized Reweighting Does Not Improve Over ERM
Understanding Why Generalized Reweighting Does Not Improve Over ERM
Runtian Zhai
Chen Dan
Zico Kolter
Pradeep Ravikumar
OOD
39
27
0
28 Jan 2022
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact
  Verification Models
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee
Seungpil Won
Juae Kim
Hwanhee Lee
Cheoneum Park
Kyomin Jung
36
29
0
30 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
161
106
0
17 Apr 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,143
0
23 Aug 2019
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
294
6,927
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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