Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning

6 July 2022

Papers citing "Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning"

6 / 6 papers shown

Title
Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models Panatchakorn Anantaprayoon Masahiro Kaneko Naoaki Okazaki LRM KELM 55 0 0 08 Mar 2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms Orfeas Menis Mastromichalakis Giorgos Filandrianos Maria Symeonaki Giorgos Stamou 65 0 0 06 Mar 2025
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting Masahiro Kaneko Danushka Bollegala Naoaki Okazaki Timothy Baldwin LRM 37 27 0 28 Jan 2024
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models Leonardo Ranaldi Elena Sofia Ruzzetti Davide Venditti Dario Onorati Fabio Massimo Zanzotto 40 35 0 23 May 2023
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 137 0 23 Jan 2021
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 304 6,996 0 20 Apr 2018