What Changed? Investigating Debiasing Methods using Causal Mediation Analysis

1 June 2022

Papers citing "What Changed? Investigating Debiasing Methods using Causal Mediation Analysis"

6 / 6 papers shown

Title
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models Philipp Mondorf Sondre Wold Barbara Plank 29 0 0 02 Oct 2024
Circuit Component Reuse Across Tasks in Transformer Language Models Jack Merullo Carsten Eickhoff Ellie Pavlick 23 61 0 12 Oct 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 19 485 0 02 Sep 2023
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning Sullam Jeoung Jana Diesner H. Kilicoglu LRM 11 5 0 01 Jun 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 26 23 0 14 Feb 2023
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis Pangbo Ban Yifan Jiang Tianran Liu Shane Steinert-Threlkeld 39 4 0 11 Sep 2022