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"

4 / 4 papers shown

Title
Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models Panatchakorn Anantaprayoon Masahiro Kaneko Naoaki Okazaki LRM KELM 50 0 0 08 Mar 2025
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting Masahiro Kaneko Danushka Bollegala Naoaki Okazaki Timothy Baldwin LRM 27 27 0 28 Jan 2024
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 210 138 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 294 6,950 0 20 Apr 2018