FineDeb: A Debiasing Framework for Language Models

5 February 2023

Papers citing "FineDeb: A Debiasing Framework for Language Models"

7 / 7 papers shown

Title
Ethos: Rectifying Language Models in Orthogonal Parameter Space Lei Gao Yue Niu Tingting Tang A. Avestimehr Murali Annavaram MU 32 10 0 13 Mar 2024
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings Aishik Rakshit Smriti Singh Shuvam Keshari Arijit Ghosh Chowdhury Vinija Jain Aman Chadha 37 0 0 18 Feb 2024
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs Patrick Haller Ansar Aynetdinov A. Akbik 26 24 0 07 Sep 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 28 22 0 13 Jun 2023
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,508 0 10 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013