Work

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions

Year: 2025

Type: conference-paper

Abstract: Matthias Orlikowski, Jiaxin Pei, Paul Röttger, Philipp Cimiano, David Jurgens, Dirk Hovy. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.104

Authors: Matthias Orlikowski, Jiaxin Pei, Paul Röttger, Philipp Cimiano, David Jurgens, Dirk Hovy

Institutions: Bielefeld University, Stanford University, Bocconi University, University of Michigan

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, European Commission, Volkswagen Foundation, H2020 European Research Council

Awards: CAREER: Fostering Prosocial Behavior and Well-Being in Online Communities, G434337789, Incorporating Demographic Factors into Natural Language Processing Models

OpenAlex ID: W4412886735

FWCI: 1.967

Cites:

Cited by: 2

Related to: 10