Can Model Compression Improve NLP Fairness

21 January 2022

Papers citing "Can Model Compression Improve NLP Fairness"

19 / 19 papers shown

Title
Towards Understanding and Improving Refusal in Compressed Models via Mechanistic Interpretability Vishnu Kabir Chhabra Mohammad Mahdi Khalili AI4CE 28 0 0 05 Apr 2025
The Impact of Inference Acceleration on Bias of LLMs Elisabeth Kirsten Ivan Habernal Vedant Nanda Muhammad Bilal Zafar 36 0 0 20 Feb 2025
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 28 1 0 17 Oct 2024
On the social bias of speech self-supervised models Yi-Cheng Lin T. Lin Hsi-Che Lin Andy T. Liu Hung-yi Lee 39 3 0 07 Jun 2024
Dependency-Aware Semi-Structured Sparsity: Declining Roles of Outliers in Pruning GLU-based LLMs Zhiyu Guo Hidetaka Kamigaito Taro Wanatnabe 32 0 0 03 May 2024
An investigation of structures responsible for gender bias in BERT and DistilBERT Thibaud Leteno Antoine Gourru Charlotte Laclau Christophe Gravier 30 4 0 12 Jan 2024
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 45 2 0 06 Dec 2023
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection Jiayang Li Xuan Feng Tianlong Gu Liang Chang 21 2 0 02 Dec 2023
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization G. Chrysostomou Zhixue Zhao Miles Williams Nikolaos Aletras HILM 34 10 0 15 Nov 2023
Being Right for Whose Right Reasons? Terne Sasha Thorn Jakobsen Laura Cabello Anders Søgaard 29 10 0 01 Jun 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 22 106 0 11 Apr 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning A. Luccioni Alex Hernandez-Garcia 28 45 0 16 Feb 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 21 32 0 07 Feb 2023
A Fair Loss Function for Network Pruning Robbie Meyer Alexander Wong CVBM 21 3 0 18 Nov 2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing Marius Hessenthaler Emma Strubell Dirk Hovy Anne Lauscher 16 8 0 08 Nov 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 39 38 0 26 May 2022
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation Manthan Thakker Sefik Emre Eskimez Takuya Yoshioka Huaming Wang 14 28 0 02 Apr 2022
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 211 616 0 03 Sep 2019