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2310.12936
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A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
19 October 2023
Yi Zhou
Jose Camacho-Collados
Danushka Bollegala
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Papers citing
"A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models"
10 / 10 papers shown
Title
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Junho Myung
Nayeon Lee
Yi Zhou
Jiho Jin
Rifki Afina Putri
...
Seid Muhie Yimam
Mohammad Taher Pilehvar
N. Ousidhoum
Jose Camacho-Collados
Alice H. Oh
87
30
0
17 Jan 2025
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
Rochelle Choenni
Ekaterina Shutova
R. Rooij
74
29
0
21 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
122
90
0
13 Sep 2021
Larger-Scale Transformers for Multilingual Masked Language Modeling
Naman Goyal
Jingfei Du
Myle Ott
Giridhar Anantharaman
Alexis Conneau
88
98
0
02 May 2021
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond
Francesco Barbieri
Luis Espinosa Anke
Jose Camacho-Collados
76
211
0
25 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
254
374
0
28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
138
0
23 Jan 2021
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
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
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
6,435
0
26 Sep 2016
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