Work

Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions

Year: 2023

Type: conference-paper

Abstract: Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu, Paul Pu Liang, Louis-Philippe Morency. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2023.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2023.acl-short.30

Authors: Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu, Paul Pu Liang, Louis-Philippe Morency

Institution: Carnegie Mellon University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Gender equality

Open Access status: hybrid

Funders: National Science Foundation, Carnegie Mellon University, National Institutes of Health, National Institute of Mental Health, Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University

Awards: CAREER: Learning Nonverbal Signatures, SCH: INT: Collaborative Research: Dyadic Behavior Informatics for Psychotherapy Process and Outcome, Robust Predictors of Mania and Psychosis

OpenAlex ID: W4385570537

FWCI: 6.008

Cites: 19

Cited by: 24

Related to: 10